Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock

Risultati finali

Report of suitable O2 sensors for cracking furnaces characteristics

This deliverable will report the activities being performed for the characterisation of sensors and conditions for oxygen measuring in a cracking furnace. The CFD study will be further presented for achieving further optimization in the sensing technologies as well as calculating the most efficient point for optimizing the furnace operation.

Base Case Description – Instrumenting the pellet transportation chain

This deliverable will report on experiments that are designed to study the flow behaviour of larger PAT sensor platforms in silos and transports. The contacted experiments will evaluate the proposed DISIRE based PAT sensing technologies while tuning the sensory design parameters and features.

PAT based IPC demonstration on conveyor network control

In this deliverable the PAT based IPC demonstration for the case of a conveyor network control will be demonstrated. based on the identified key parameters of conveyors design and operation, optimisation through the proposed online PAT IPC will presented and evaluated in experimental studies. The proposed control scheme will be based on the developed models for conveyors and the online pat measurement methods, resulting from the streaming of the in situ ejected sensors in the flaw of materials. All the recommended solutions will be evaluated and measured/quantified.

Technical report for optimizing the combustion efficiency in cracking furnaces

This deliverable will analyze further all the technical details and instructions on properly optimizing the combustion efficiency based on the CFD extended studies in cracking furnaces.

Project website and overall online presence

This deliverable will present the DISIRE website and overall online dissemination material and visibility for the project.

Project identity and dissemination material schedule

This deliverable will report all of the developed and scheduled activities that will aim to increase the public visibility of the DISIRE project.

Data-driven MPC algorithms and software

This deliverable will report on the efforts towards the design and implementation of online machine learning algorithms that will allow the adaptation of static maps without interfering with process operations. The effectiveness of the PAT data optimization for iPC reconfiguration for maximizing performance indicators will be also reported

Training Summer School on DISIRE technology

"This deliverable will report on the results and the impact of the organized ""DISIRE training Summer School” on topics relative to the project results and objectives for industrial professionals, postgraduate and PhD students."

Business and Deployment Plan

This deliverable will report on the proposed work plan for deployment of the research findings in cross-sector industries. The work plan will include the procedures needed to be carried out within an existing industrial process to ensure a clean, safe and fast implementation of the data mining processes.

Report on end-user requirements, and regulations

The detailed specifications for the further integration of the DISIRE components generated form WP2-4 into the adopted industrial processes and their full operability will be further specified in this task. The specification documents will be process specific and the effort will be to further extend the functionalities and the implementation limitations of the pure scientific initial results in the project in the industrial demonstrations of the subcomponents in TRL levels 3-5.

Report on sensor solutions for continuous processes

This deliverable will report on the development and evaluation of PAT sensors and electronics for continuous processes, being able to follow the flow, constituting markers for moving and stirring as well as allowing measurements in the process and during transport of materials.

Report of DEMO-site implementation of control systems based on O2 sensoring and optical non- invasive instrumentation

This deliverable will present the experimental evaluation results of the DISIRE online PAT based IPC strategy, in the case of industrial furnaces, based on the developed O2 sensors and imaging diagnosis instrumentations.

Modeling and process control architectures for data-driven MPC

This deliverable will focus on the definition and design of a smooth and consistent modeling and control design workflow that is amenable for data-driven adaptation of MPC from PAT. Moreover the performance indicators for the related product quality and energy efficiency will also be reported.

Small scale validation report

This deliverable will report on the laboratory based validation of batch and continuous sensor solutions as a preparation for inclusion in the live processes. Performance and parameters that will reported will include: - High temperatures influence - Impulse and pressure (mechanical) - Radio performance (Electromagnetic)

Evaluation of the IPC in the steel process

This deliverable will describe the evaluation of the DISIRE technology after the application of the in-situ sensors for improved control of the heating of steel prior to the metal working in a furnace at Swerea MEFOS, with respect to robust and efficient industrial extended evaluation in a TRL level of 6.

DISIRE Progress Report releases

This deliverable, will be an ongoing document that embodies the evaluation and estimation of the project results concerning the developed concepts, methodologies and development status. The planned releases are: M6, M12, M18, M24, M30 and M36.

Benchmark specifications and related performance measures for expected Impact

Based on the defined application scenarios and desired impact goals of DISIRE, this deliverable will focus in creating a strategy for evaluating the capabilities of each of the DISIRE subcomponents, ending with the final benchmark of the project. The deliverable will contain specifications on: - Specification of advanced inline sensing - Specification of PAT analysis - Specification on PAT based IPC - Process specific demonstration specifications

Sensor technology selection report

This deliverable will report on the survey for identifying the physical quantities being critical to be measured in the defined DISIRE application scenarios. The goal will be to identify shortcomings of existing sensor technology and identify needs for research towards new types of measurements, as well as to identify application for sensor technology previously not used in continuous industrial process control.

Performance assessment of data-driven MPC

This deliverable will report on the definition and the results obtained from the detailed testing procedures for assessing the performance improvements achievable by the overall offline modeling/MPC design and online data-driven adaptation schemes, the design workflow, the online data-driven algorithms and the simulated assessment of the online PAT-driven MPC technology.

Report on batch sensor design solutions

This deliverable will report the developments in the area of sensors and electronics in batch processes and more specifically in the area of non-contact high speed industrial fibre optic infrared sensing. The applicability, manufacturability and initial lab and extended industrial tests will be also be reported.

Commercialization and Product Development Workshops, Live Demonstrations, Media Shows

This deliverable will report on the scheduled and performed semi-annual series of workshops and events aiming in the commercialization and further spin out product development from the application of the DISIRE project.

Product tracing in ferrous mineral processing

This deliverable will report on the evaluation of PAT sensors in pelletising plant after real case extended experimentation. Moreover this deliverable will report on the designed infrastructure for performing the full scale product tracing experimentations.

Evaluation of sensors to be used in the steel industry

This deliverable will report on the evaluation of inline sensors in the steel industry. This evaluation will include the the requirement analysis for the cases of material handling and BF processes, applicability of sensors in different materials, sustainability of sensors agains temperatures and gas atmospheres, and wireless methods for establishing data connections. Finally, an application strategy will be presented towards the implementation of the proposed sensors in the experimental BF.

Application scenarios and demonstration activities specifications

This deliverable will analyze and specify in detail the identified DISIRE application scenarios and impact goals, based on the collected and integrated information from the end-user reports on the existing inline measurements, PAT analysis and IPC concepts. Existing methods in the form of state of the art and further expected DISIRE capabilities and characteristics will be further investigated in relation with the applicability of the examined scenarios and the overall TRL demonstration levels that could be achieved.

DISIRE Final Report

This deliverable will present all the achievements of the DISIRE project, the main contributions and the overall report on financial reporting, while will summarize the results and the impact of all WPs in DISIRE.

Applied PAT and data mining for raw materials transportation system

This deliverable will report on online PAT for transport processes. Moreover it will be presented the synthesis of existing knowledge about what kind of data, in what format, how often etc. might be available or needed in order to perform an optimal IPC strategy for optimizing the transport process, and how additional online and offline data based can be integrated in producing the DISIRE online PAT. Finally, in this deliverable the methodologies for establishing a proper mechanism for the identification and modelling of the random stream of the transported ore will be performed, combined with the Mathematical models and appropriate algorithms for copper ore stream modelling for IPC will be also provided.

Sensor data Collection preparation system design report

This deliverable will report on the design and development of methods for collecting and preparing PAT sensory data, including PAT position and product and process state data. The reported system will be a generic data and processing model, which will be easy to configure and implement in different production lines with different levels of complexities and different types of industries.

Feasibility analysis of novel technologies to support imaging diagnosis

During the project we have detected several technologies that can support flame diagnosis tools. On the one hand, spectroscopy has been revealed a most promising technology to flame diagnosis under industrial conditions that expected. Thus CIRCE will review all the applications of image diagnosis of combustion process to different SPIRE sectors in an additional public deliverable.

Industrial Process Discovery Document

This deliverable will survey the type and perpose of all the sensory data in the DISIRE application driven use cases. This sensory servey will be combined with the existing control strategies and systems in order to define the processes and the product state data needed for implementing engineering and statistical process control.

Establishing and running an Innovation Management Office

This deliverable will describe the activities, structure and impact of the DISIRE innovation and knowledge management office, which will be established to facilitate the innovative approach for commercialization of the DISIRE technological platform and its components. Moreover, this deliverable will report on the series of training activities implemented throughout the project duration in order to address specific challenges of research commercialization, such as time to market, design quality and functionality, manufacturability and cost efficiency in all anticipated user environments

Retrofitting of cracking furnaces to low-NOx operation with integrated novel diagnosis tools

Retrofitting evaluation of current wall burners to long flame burners. This measurement has been carried out in other cracking furnaces with a significant reduction of NOx. An analysis for the DCI furnaces will be carried out.

Evaluation of PAT based IPC performance in pelletizing plant

This deliverable will report on the pilot scale testing addressing several aspects of the challenging measurement conditions that are specific to ferrous mineral processing and have been investigated in pilot scale processes.

Analysis and calculation module Report

This deliverable will report on the design and development of machine learning and prediction algorithms for the calculation of the process state required by the process control and optimization modules.

Technical report of CFD results regarding the optimal localization in furnace for O2 sensoring

This deliverable will report on the specific technical details for designing and installing the DISIRE based O2 sensors in a real furnace.

On the modelling and control of belt conveyor network

This deliverable will report on the application of in situ sensors for flotation process monitoring. More specifically the methods for developing a system for collecting on line PAT and modeling the flotation process at KGHM will be reported.

Technology Exploitation Strategy

This deliverable will report on the identified and assessed knowledge generated in the different WPs, while presenting and analyzing the further exploitation of the project outcome.

Evaluation of data analysis and PAT production in the steel process

This deliverable will report on the PAT creation and combination in swarm sensing in the case of steel and the experimental BF.

Data Management Plan

As DISIRE will participate in the limited action on open access to research data in H2020, a Data Management Plan (DMP) will be developed describing the data management life cycle for all data sets that will be collected. More details the DMP will specify what data the project will generate, whether and how it will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.

Development of Interactive Innovation Toolkit

This deliverable will present the development and operation of the interactive innovation toolkit within the innovation management office, in order to assure the quality and the progress of commercialization of the DISIRE research outcomes in the related industries.

Business Plan

This deliverable will present the DISIRE business Plan using the “business models generation canvas” methodology in order to ensure the optimum exploitation of generated business opportunities and the associated business models.

Report of flame and combustion characterization by means of optical non-invasive instrumentation. Developments of algorithms for control combustion

This deliverable will report the DISIRE technological findings in utilizing image based and non-invasive instrumentation techniques for characterizing the flame and combustion status.

Open Research Data Pilot

This deliverable will report on the created and open research data sets created within the project.

Pubblicazioni

Dynamic Relative Gain Array Estimation using Local Polynomial Approximation Approach

Autori: Ali M. H. Kadhim, Wolfgang Birk, Miguel Castano Arranz
Pubblicato in: Modeling, Identification and Control: A Norwegian Research Bulletin, Numero 37/4, 2016, Pagina/e 247-259, ISSN 0332-7353
Editore: The Research Council of Norway
DOI: 10.4173/mic.2016.4.5

On the selection of control configurations for uncertain systems using gramian-based Interaction Measures

Autori: Miguel Castaño Arranz, Wolfgang Birk
Pubblicato in: Journal of Process Control, Numero 47, 2016, Pagina/e 213-225, ISSN 0959-1524
Editore: Butterworth Scientific Ltd.
DOI: 10.1016/j.jprocont.2016.09.005

The Use of a Multilabel Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults Based on the Start-Up Transient

Autori: George Georgoulas, Vicente Climente-Alarcon, Jose A. Antonino-Daviu, Ioannis P. Tsoumas, Chrysostomos D. Stylios, Antero Arkkio, George Nikolakopoulos
Pubblicato in: IEEE Transactions on Industrial Informatics, Numero 13/2, 2017, Pagina/e 625-634, ISSN 1551-3203
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TII.2016.2637169

Current methods and possibilities to determine the variability of Cu content in the copper ore on a conveyor belt in one of KGHM Polska Miedz S.A. mines

Autori: Leszek Jurdziak, Witold Kawalec, Robert Krol
Pubblicato in: E3S Web of Conferences, Numero 8, 2016, Pagina/e 01055, ISSN 2267-1242
Editore: EDS Scineces
DOI: 10.1051/e3sconf/20160801055

Project DISIRE (H2020) – an idea of annotating of ore with sensors in KGHM Polska Miedz S.A. underground copper ore mines

Autori: Witold Kawalec, Robert Krol, Radoslaw Zimroz, Leszek Jurdziak, Marek Jach, Radoslaw Pilut
Pubblicato in: E3S Web of Conferences, Numero 8, 2016, Pagina/e 01058, ISSN 2267-1242
Editore: EDP Sciences
DOI: 10.1051/e3sconf/20160801058

A Survey on Control Configuration Selection and New Challenges in Relation to Wireless Sensor and Actuator Networks

Autori: Miguel Castaño Arranz, Wolfgang Birk, George Nikolakopoulos
Pubblicato in: IFAC-PapersOnLine, Numero 50/1, 2017, Pagina/e 8810-8825, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2017.08.1536

Automated Control Configuration Selection Considering System Uncertainties

Autori: Ali M. H. Kadhim, Miguel Castaño Arranz, Wolfgang Birk
Pubblicato in: Industrial & Engineering Chemistry Research, Numero 56/12, 2017, Pagina/e 3347-3359, ISSN 0888-5885
Editore: American Chemical Society
DOI: 10.1021/acs.iecr.6b04035

Idea of Identification of Copper Ore with the Use of Process Analyser Technology Sensors

Autori: Leszek Jurdziak, Damian Kaszuba, Witold Kawalec, Robert Król
Pubblicato in: IOP Conference Series: Earth and Environmental Science, Numero 44, 2016, Pagina/e 042037, ISSN 1755-1307
Editore: IOP Publishing
DOI: 10.1088/1755-1315/44/4/042037

Extracting the Magnetic Properties of Blast Furnace Cokes

Autori: 26. Renbi, A. and Johansson, J.
Pubblicato in: IET Science, Measurement & Technology, 2017, ISSN 1751-8822
Editore: Institution of Engineering and Technology

Application of compound Poisson process for modelling of ore flow in a belt conveyor system with cyclic loading

Autori: Piotr Kruczek, Marta Polak, Agnieszka Wyłomańska, Witold Kawalec, Radoslaw Zimroz
Pubblicato in: International Journal of Mining, Reclamation and Environment, 2017, Pagina/e 1-16, ISSN 1748-0930
Editore: Taylor & Francis
DOI: 10.1080/17480930.2017.1388335

On-line updating of cyclostationary tools for fault detection in rotating machines - the filter bank approach * *This work is supported by the Framework Programme for Research and Innovation Horizon 2020 under grant agreement n. 636834 (DISIRE - Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock)

Autori: Piotr Kruczek, Jakub Obuchowski, Agnieszka Wylomanska, Radoslaw Zimroz
Pubblicato in: IFAC-PapersOnLine, Numero 50/1, 2017, Pagina/e 4702-4707, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2017.08.854

Fault Detection in Belt Conveyor Drive Unit via Multiple Source Data

Autori: Piotr Kruczek, Jakub Sokołowski, Jakub Obuchowski, Mateusz Sawicki, Agnieszka Wyłomańska, Radosław Zimroz
Pubblicato in: Applied Condition Monitoring, 2017, Pagina/e 173-186, ISSN 2363-698X
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-51445-1_10

Periodically impulsive behavior detection in noisy observation based on generalized fractional order dependency map

Autori: Grzegorz Żak, Agnieszka Wyłomańska, Radosław Zimroz
Pubblicato in: Applied Acoustics, 2017, ISSN 0003-682X
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.apacoust.2017.05.003

Application of Independent Component Analysis in Temperature Data Analysis for Gearbox Fault Detection. Cyclostationarity: Theory and Methods III

Autori: Jacek Wodecki, Pawel Stefaniak, Mateusz Sawicki, Radoslaw Zimroz
Pubblicato in: Applied Condition Monitoring, 2017, Pagina/e 187-198, ISSN 2363-698X
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-51445-1_11

Nonnegative factorization of spectrogram for local damage detection of belt conveyor gearboxes

Autori: Jacek Wodecki, Rafał Zdunek, Agnieszka Wyłomańska, Radosław Zimroz
Pubblicato in: IFAC-PapersOnLine, Numero 50/1, 2017, Pagina/e 4714-4718, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2017.08.859

Autocorrelation analysis of Cu content in ore streams in one of KGHM Polska Miedź S.A. mines.

Autori: Leszek Jurdziak, Witold Kawalec, Robert Król
Pubblicato in: Advances in Intelligent Systems and Computing, 2017, Pagina/e 189-198, ISSN 2194-5357
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-64465-3_19

Study on tracking the mined ore compound with the use of process analytic technology tags.

Autori: Leszek Jurdziak, Witold Kawalec, Robert Król
Pubblicato in: Advances in Intelligent Systems and Computing, Pagina/e 418-427, ISSN 2194-5357
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-64465-3_40

Cyclic sources extraction from complex multiple-component vibration signal via periodically time varying filter

Autori: Piotr Kruczek, Jakub Obuchowski, Agnieszka Wylomanska, Radoslaw Zimroz
Pubblicato in: Applied Acoustics, Numero 126, 2017, Pagina/e 170-181, ISSN 0003-682X
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.apacoust.2017.05.013

Study on tracking the mined ore compound with the use of process analytic technology tags

Autori: Leszek Jurdziak, Witold Kawalec, Robert Król
Pubblicato in: Advances in Intelligent Systems and Computing, 2017, Pagina/e 418-427, ISSN 2194-5357
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-64465-3_40

Stochastic economic model predictive control for Markovian switching systems * *This work was supported by the EU-funded H2020 research project DISIRE, grant agreement No. 636834. The work of the third author was supported by the KU Leuven Research Council under BOF/STG-15-043.

Autori: Pantelis Sopasakis, Domagoj Herceg, Panagiotis Patrinos, Alberto Bemporad
Pubblicato in: IFAC-PapersOnLine, Numero 50/1, 2017, Pagina/e 524-530, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2017.08.056

Embedded Mixed-Integer Quadratic Optimization using Accelerated Dual Gradient Projection

Autori: Vihangkumar V. Naik, Alberto Bemporad
Pubblicato in: IFAC-PapersOnLine, Numero 50/1, 2017, Pagina/e 10723-10728, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2017.08.2235

Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings

Autori: Jacek Wodecki, Anna Michalak, Radoslaw Zimroz
Pubblicato in: Mechanical Systems and Signal Processing, Numero 102, 2018, Pagina/e 102-116, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2017.09.008

Measures of Dependence for α -Stable Distributed Processes and Its Application to Diagnostics of Local Damage in Presence of Impulsive Noise

Autori: Grzegorz Żak, Marek Teuerle, Agnieszka Wyłomańska, Radosław Zimroz
Pubblicato in: Shock and Vibration, Numero 2017, 2017, Pagina/e 1-9, ISSN 1070-9622
Editore: IOS Press
DOI: 10.1155/2017/1963769

A bias-correction method for closed-loop identification of Linear Parameter-Varying systems

Autori: Manas Mejari, Dario Piga, Alberto Bemporad
Pubblicato in: Automatica, Numero 87, 2018, Pagina/e 128-141, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2017.09.014

Alpha-stable distribution based methods in the analysis of the crusher vibration signals for fault detection

Autori: Grzegorz Zak, Agnieszka Wylomanska, Radosaw Zimroz
Pubblicato in: IFAC-PapersOnLine, Numero 50/1, 2017, Pagina/e 4696-4701, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2017.08.697

Unsupervised Anomaly Detection for Conveyor Temperature SCADA Data

Autori: Jacek Wodecki, Paweł Stefaniak, Marta Polak, Radosław Zimroz
Pubblicato in: Advanced in Condition Monitoring of Machinery in Non-Stationary Operations, 2017, Pagina/e 361-369, ISSN 2363-698X
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-61927-9_34

Data-Driven Iterative Vibration Signal Enhancement Strategy Using Alpha Stable Distribution

Autori: Grzegorz Żak, Agnieszka Wyłomańska, Radosław Zimroz
Pubblicato in: Shock and Vibration, Numero 2017, 2017, Pagina/e 1-11, ISSN 1070-9622
Editore: IOS Press
DOI: 10.1155/2017/3698370

Proximal Limited-Memory Quasi-Newton Methods for Scenario-based Stochastic Optimal Control * *The work of the second author was supported by the EU-funded H2020 research project DISIRE, grant agreement No. 636834. The work of the fourth author was supported by the KU Leuven Research Council under BOF/STG-15-043.

Autori: Ajay Kumar Sampathirao, Pantelis Sopasakis, Alberto Bemporad, Panagiotis Patrinos
Pubblicato in: IFAC-PapersOnLine, Numero 50/1, 2017, Pagina/e 11865-11870, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2017.08.1372

Application of cointegration to vibration signal for local damage detection in gearboxes

Autori: Anna Michalak, Jacek Wodecki, Agnieszka Wyłomańska, Radoslaw Zimroz
Pubblicato in: Applied Acoustics, 2017, ISSN 0003-682X
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.apacoust.2017.08.024

Joint Temperature-Lasing Mode Compensation for Time-of-Flight LiDAR Sensors

Autori: Anas Alhashimi, Damiano Varagnolo, Thomas Gustafsson
Pubblicato in: Sensors, Numero 15/12, 2015, Pagina/e 31205-31223, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s151229854

Direct learning of LPV controllers from data

Autori: Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi
Pubblicato in: Automatica, Numero 65, 2016, Pagina/e 98-110, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2015.11.031

Testing belt conveyor resistance to motion in underground mine conditions

Autori: Robert Król, Waldemar Kisielewski, Damian Kaszuba, Lech Gładysiewicz
Pubblicato in: International Journal of Mining, Reclamation and Environment, 2016, Pagina/e 1-13, ISSN 1748-0930
Editore: Taylor & Francis
DOI: 10.1080/17480930.2016.1187967

Encapsulation Method for Small Wireless Measurement Systems in High Temperature Environments

Autori: J. Johansson, J. Borg
Pubblicato in: Additional Conferences (Device Packaging, HiTEC, HiTEN, & CICMT), Numero 2016/HiTEC, 2016, Pagina/e 000087-000091, ISSN 2380-4491
Editore: IMAPS
DOI: 10.4071/2016-HITEC-87

Bearing fault detection and diagnosis by fusing vibration data

Autori: George Georgoulas, George Nikolakopoulos
Pubblicato in: IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016, Pagina/e 6955-6960, ISBN 978-1-5090-3474-1
Editore: IEEE
DOI: 10.1109/IECON.2016.7794118

A multi-label classification approach for the detection of broken bars and mixed eccentricity faults using the start-up transient

Autori: George Georgoulas, Vicente Climente-Alarcon, Jose A. Antonino-Daviu, Chrysostomos D. Stylios, Antero Arkkio, George Nikolakopoulos
Pubblicato in: 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), 2016, Pagina/e 430-433, ISBN 978-1-5090-2870-2
Editore: IEEE
DOI: 10.1109/INDIN.2016.7819198

Accelerated reconstruction of a compressively sampled data stream

Autori: Pantelis Sopasakis, Nikolaos Freris, Panagiotis Patrinos
Pubblicato in: 2016 24th European Signal Processing Conference (EUSIPCO), 2016, Pagina/e 1078-1082, ISBN 978-0-9928-6265-7
Editore: IEEE
DOI: 10.1109/EUSIPCO.2016.7760414

On control structure design for a walking beam furnace

Autori: H. Jafari, M. Castano, T. Gustafsson, G. Nikolakopoulos
Pubblicato in: 2017 25th Mediterranean Conference on Control and Automation (MED), 2017, Pagina/e 1355-1360, ISBN 978-1-5090-4533-4
Editore: IEEE
DOI: 10.1109/MED.2017.7984307

Data-driven modelling, learning and stochastic predictive control for the steel industry

Autori: Domagoj Herceg, George Georgoulas, Pantelis Sopasakis, Miguel Castano, Panagiotis Patrinos, Alberto Bemporad, Jan Niemi, George Nikolakopoulos
Pubblicato in: 2017 25th Mediterranean Conference on Control and Automation (MED), 2017, Pagina/e 1361-1366, ISBN 978-1-5090-4533-4
Editore: IEEE
DOI: 10.1109/MED.2017.7984308

16th International Multidisciplinary Scientific GeoConference SGEM2016, Science and Technologies in Geology, Exploration and Mining

Autori: Piotr Kruczek, Jakub Obuchowski, Radosław Zimroz, Agnieszka Wyłomańska
Pubblicato in: SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings, 2016, ISBN 9786-197105568
Editore: Stef92 Technology
DOI: 10.5593/sgem2016B12

Online automatic and robust control configuration selection

Autori: Miguel Castano Arranz, Wolfgang Birk
Pubblicato in: 2017 25th Mediterranean Conference on Control and Automation (MED), 2017, Pagina/e 1367-1372, ISBN 978-1-5090-4533-4
Editore: IEEE
DOI: 10.1109/MED.2017.7984309

Cloud computing for big data analytics in the Process Control Industry

Autori: E. Goldin, D. Feldman, G. Georgoulas, M. Castano, G. Nikolakopoulos
Pubblicato in: 2017 25th Mediterranean Conference on Control and Automation (MED), 2017, Pagina/e 1373-1378, ISBN 978-1-5090-4533-4
Editore: IEEE
DOI: 10.1109/MED.2017.7984310

VARIANTS OF IDENTIFICATION OF THE RUN-OF-MINE ORE COMPOUND WITH THE HELP OF PROCESS ANALYTIC TECHNOLOGY IN THE KGHM UNDERGROUND COPPER MINES

Autori: Leszek Jurdziak
Pubblicato in: 17th International Multidisciplinary Scientific GeoConference SGEM2017, Science and Technologies in Geology, Exploration and Mining, 2017, ISBN 9786-197105001
Editore: Stef92 Technology
DOI: 10.5593/sgem2017/13/S03.123

Application of Flexsim in the DISIRE project

Autori: Jurdziak L., Kawalec W., Król R
Pubblicato in: Studies & Proceedings of the Polish Association for Knowledge Management, 2017
Editore: rys., bibliogr.

CONTINUOUS TRANSPORTATION SYSTEM MODELLING IN ONE OF UNDERGROUND MINES FOR THE PURPOSE OF ORE FLOW SIMULATION

IDENTIFICATION OF LOADING PARAMETERS FOR BELT CONVEYORS OPERATING IN KGHM�S MINES

Local damage detection method based on distribution distances applied to time-frequency map of vibration signal

Autori: Grzegorz Zak, Agnieszka Wylomanska, Radoslaw Zimroz
Pubblicato in: 2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2017, Pagina/e 134-140, ISBN 978-1-5090-0409-6
Editore: IEEE
DOI: 10.1109/DEMPED.2017.8062346

Novel method of informative frequency band selection for vibration signal using nonnegative matrix factorization of short-time fourier transform

Autori: Jacek Wodecki, Piotr Kruczek, Agnieszka Wylomanska, Anna Bartkowiak, Radoslaw Zimroz
Pubblicato in: 2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2017, Pagina/e 129-133, ISBN 978-1-5090-0409-6
Editore: IEEE
DOI: 10.1109/DEMPED.2017.8062345

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Editore: IEEE
DOI: 10.1109/MED.2017.7984306

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DOI: 10.1109/MIXDES.2016.7529757

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Editore: IEEE
DOI: 10.1109/MED.2016.7536041

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Pubblicato in: 2016 24th Mediterranean Conference on Control and Automation (MED), 2016, Pagina/e 361-365, ISBN 978-1-4673-8345-5
Editore: IEEE
DOI: 10.1109/MED.2016.7535994

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Editore: IEEE
DOI: 10.1109/MED.2016.7536045

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