Platform for rapid deployment of self-configuring and optimized predictive maintenance services

Projektinformationen

PROPHESY

ID Finanzhilfevereinbarung: 766994

DOI

10.3030/766994

Projekt abgeschlossen

EK-Unterschriftsdatum 11 Juli 2017

Startdatum 1 Oktober 2017

Enddatum 30 September 2020

Finanziert unter

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Gesamtkosten

€ 7 100 131,79

EU-Beitrag

€ 5 528 318,51

Koordiniert durch

NETCOMPANY SA
Belgium

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Leistungen

Demonstrators, pilots, prototypes (16)

Training and Knowledge Sharing Platform v2

Prototype implementation of the cloud-based training and knowledge sharing platform, based on the outcomes of Task 5.3.

PROPHESY Data Visualization Portal v2

Prototype implementation of the sharable dashboards based on the outcomes of Task 5.2.

Remote Maintenance based on Augmented Reality (PROPHESY-AR) v2

Prototype implementation of the PROPHESY-AR service brick based on the outcomes of Task 5.4.

Solutions Optimization Engine v1

Prototype implementation of mechanisms and tools for composing integrated PdM services and programmes. It will reflect the outcomes of task 6.2.

Security, Trustworthiness and Data Protection Framework v2

Prototype implementation of PROPHESY-CPS security and data protection mechanisms.

KPIs Tracking and Cost Benefit Tools v1

Prototype implementation of data-driven tools for KPIs calculation and tracking, including their use for cost-benefit calculations. The deliverable will reflect the outcomes of tasks 6.3 and 6.5.

KPIs Tracking and Cost Benefit Tools v2

Prototype implementation of data-driven tools for KPIs calculation and tracking, including their use for cost-benefit calculations. The deliverable will reflect the outcomes of tasks 6.3 and 6.5.

PROPHESY-CPS Middleware Infrastructure v1

Prototype implementation of the PROPHESY-CPS infrastructure, including edge devices, streaming and cloud integration capabilities.

PROPHESY Data Visualization Portal v1

Prototype implementation of the sharable dashboards based on the outcomes of Task 5.2.

Solutions Optimization Engine v2

Prototype implementation of mechanisms and tools for composing integrated PdM services and programmes. It will reflect the outcomes of task 6.2.

Training and Knowledge Sharing Platform v1

Prototype implementation of the cloud-based training and knowledge sharing platform, based on the outcomes of Task 5.3.

Automatic Data Collection v2

Prototype implementation of the IoT data collection infrastructure of PROPHESY.

Automatic Data Collection v1

Prototype implementation of the IoT data collection infrastructure of PROPHESY.

Remote Maintenance based on Augmented Reality (PROPHESY-AR) v1

Prototype implementation of the PROPHESY-AR service brick based on the outcomes of Task 5.4.

PROPHESY-CPS Middleware Infrastructure v2

Prototype implementation of the PROPHESY-CPS infrastructure, including edge devices, streaming and cloud integration capabilities.

Security, Trustworthiness and Data Protection Framework v1

Prototype implementation of PROPHESY-CPS security and data protection mechanisms.

Documents, reports (31)

Visualization and AR Specifciations

Detailed Specifciations of the PROPHESY’s visualization capabilities, including interfacing to PROPHESY-CPS, PROPHESY-ML and the complex demonstrators

Report on PROPHESY Community v1

A report on the members of the PROPHESY ecosystem and market platform, including the actions undertaken to attract them.

Digital Modelling and Interoperability v1

Report on the digital models and interoperability techniques based on Task 3.2.

Stakeholders’ Feedback and Evaluation v1

A report on stakeholders’ feedback for each demonstrator and the PROPHESY technologies as a whole, based on the outcomes of task T7.5.

Demonstrators Sites Preparation Report v1

A report on the preparation of the pilot sites, including mobilization of stakeholders, training of employees, revisions to processes, deployment of infrastructure and more.

Report on Standardization Activities and Collaboration with Associations v2

Detailed report on the project’s participation and contribution to standardization bodies and EU associations.

Demonstrators Sites Preparation Report v2

A report on the preparation of the pilot sites, including mobilization of stakeholders, training of employees, revisions to processes, deployment of infrastructure and more.

Public final activity report

Public final activity report will present: (i) the consortium, (ii) the PROPHESY objectives; (iii) a summary of the project results; (iv) the impact achieved during the project and v) the final report of the data management and final release of the PROPHESY data and data access mechanism to the consortium members

Stakeholders’ Feedback and Evaluation v2

A report on stakeholders’ feedback for each demonstrator and the PROPHESY technologies as a whole, based on the outcomes of task T7.5.

Service Bricks Specifications v1

Report on the service components that will be made available to the PROPHESY-SOE.

Predictive Maintenance Business Models v2

Specification of business models for predictive maintenance, including guidelines for their implementation based on the PROPHESY platform and tools.

PROPHESY-SOE Specifications

Detailed specifications of PROPHESY SOE platform, including specifications of its potential impact on RAMS and FMECA processes.

Machines and Tools Models v2

A report on the models of the machines and tools that will be supported by the PROPHESY-ML. It will reflect the outcomes of Task 4.2.

Techno-Economic Validation and Evaluation v2

A report on the techno-economic evaluation of each demonstrator, based on the outcomes of task T7.4.

Digital Modelling and Interoperability v2

Report on the digital models and interoperability techniques based on Task 3.2.

Report on PROPHESY Community v2

A report on the members of the PROPHESY ecosystem and market platform, including the actions undertaken to attract them.

Stakeholders’ Feedback and Evaluation v3

A report on stakeholders’ feedback for each demonstrator and the PROPHESY technologies as a whole, based on the outcomes of task T7.5.

Machines and Tools Models v1

A report on the models of the machines and tools that will be supported by the PROPHESY-ML. It will reflect the outcomes of Task 4.2.

Report on Standardization Activities and Collaboration with Associations v1

Detailed report on the project’s participation and contribution to standardization bodies and EU associations.

Predictive Maintenance Business Models v1

Specification of business models for predictive maintenance, including guidelines for their implementation based on the PROPHESY platform and tools.

Techno-Economic Validation and Evaluation v3

A report on the techno-economic evaluation of each demonstrator, based on the outcomes of task T7.4.

Report on Dissemination and Communication Activities v3

A detailed report on the dissemination and communication activities of the project, including information about their assessment.

Report on Dissemination and Communication Activities v1

A detailed report on the dissemination and communication activities of the project, including information about their assessment.

Platform Architectures and Ecosystem Specifications v2

This deliverable will detail the technical architecture of the PROPHESY platforms (PROPHESY-CPS, PROPHESY-SOE, market platform), as well as the specifications of the PROPHESY ecosystem that will be built around the project’s results.

Dissemination and Commination Plan

Detailed dissemination and communication plan.

Specification of Data Assets and Services

Detailed specifications of data collection and analytics components, including PROPHESY-ML and techniques for data sharing and interoperability.

PROPHESY-CPS Specifications

Detailed specifications of PROPHESY-CPS platform, including documentation of the requirements driving the specifications (i.e. stakeholders’ requirements, market analysis/market requirements etc.).

Report on Dissemination and Communication Activities v2

A detailed report on the dissemination and communication activities of the project, including information about their assessment.

Platform Architectures and Ecosystem Specifications v1

This deliverable will detail the technical architecture of the PROPHESY platforms (PROPHESY-CPS, PROPHESY-SOE, market platform), as well as the specifications of the PROPHESY ecosystem that will be built around the project’s results.

Service Bricks Specifications v2

Report on the service components that will be made available to the PROPHESY-SOE.

Techno-Economic Validation and Evaluation v1

A report on the techno-economic evaluation of each demonstrator, based on the outcomes of task T7.4.

Other (2)

Integrated PROPHESY-ML toolkit v2

The integrated PROPHESY-ML framework, including data collection mechanisms and data analytics algorithms.

Integrated PROPHESY-ML toolkit v1

The integrated PROPHESY-ML framework, including data collection mechanisms and data analytics algorithms.

Veröffentlichungen

Conference proceedings (5)

Predictive and Explainable Machine Learning for Industrial Internet of Things Applications

Autoren: Ioannis T. Christou, Nikos Kefalakis, Andreas Zalonis, John Soldatos
Veröffentlicht in: 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2020, Seite(n) 213-218, ISBN 978-1-7281-4351-4
Herausgeber: IEEE
DOI: 10.1109/dcoss49796.2020.00043

RUL Prediction for Cold Forming Production Tooling

Autoren: Wim De Mulder, Alessandro Di Bucchianico, Haije Zijlstra
Veröffentlicht in: International Conference on Advances in System Simulation (SIMUL), 2018, ISBN 978-1-61208-831-0
Herausgeber: IARIA, 2020

NOVAAS: A Reference Implementation of Industrie4.0 Asset Administration Shell with best-of- breed practices from IT engineering

Autoren: Giovanni Di Orio, Pedro Maló, José Barata
Veröffentlicht in: onference: IECON'19 - IEEE 45th Annual Conference of the IEEE Industrial Electronics Society, At Lisbon, Portugal, 2019
Herausgeber: IEEE

End-to-End Industrial IoT Platform for Actionable Predictive Maintenance

Autoren: Ioannis T. Christou, Nikos Kefalakis, Andreas Zalonis, John Soldatos, Raimund Bröchler
Veröffentlicht in: 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, 2020
Herausgeber: IFAC-PapersOnLine

Avoiding the Hay for the Needle in the Stack: Online Rule Pruning in Rare Events Detection

Autoren: Ioannis T. Christou
Veröffentlicht in: 2019 16th International Symposium on Wireless Communication Systems (ISWCS), 2019, Seite(n) 661-665, ISBN 978-1-7281-2527-5
Herausgeber: IEEE
DOI: 10.1109/iswcs.2019.8877210

Thesis and dissertations (1)

An attribute oriented induction based methodology to aid in predictive maintenance: anomaly detection, root cause analysis and remaining useful life

Autoren: Fernandez-Anakabe, Javier
Veröffentlicht in: 2019
Herausgeber: Mondragon Unibertsitatea. Goi Eskola Politeknikoa

Peer reviewed articles (4)

Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model

Autoren: Alessandro Di Bucchianico; Mykola Pechenizkiy; Yingjun Deng; Yingjun Deng
Veröffentlicht in: urn:issn:0951-8320, Ausgabe 1, 2019, ISSN 0951-8320
Herausgeber: Elsevier BV
DOI: 10.1016/j.ress.2019.106727

Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends

Autoren: Mikel Iturbe, Iñaki Garitano, Urko Zurutuza, Roberto Uribeetxeberria
Veröffentlicht in: Security and Communication Networks, Ausgabe 2017, 2017, Seite(n) 1-17, ISSN 1939-0122
Herausgeber: John Wiley & Sons Ltd.
DOI: 10.1155/2017/9150965

Configurable Distributed Data Management for the Internet of the Things

Autoren: Kefalakis, Roukounaki, Soldatos
Veröffentlicht in: Information, Ausgabe 10/12, 2019, Seite(n) 360, ISSN 2078-2489
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info10120360

A Cyber-Physical Approach to Resilience and Robustness by Design

Autoren: Giovanni Di Orio, Guilherme Brito, Pedro Malo, Abhinav Sadu, Nikolaus Wirtz, Antonello Monti
Veröffentlicht in: International Journal of Advanced Computer Science and Applications, Ausgabe 11/7, 2020, ISSN 2156-5570
Herausgeber: The Science and Information Organisation
DOI: 10.14569/ijacsa.2020.0110710

Book chapters (1)

Who’s There? Evaluating Data Source Integrity and Veracity in IIoT Using Multivariate Statistical Process Control

Autoren: Iñaki Garitano, Mikel Iturbe, Enaitz Ezpeleta, Urko Zurutuza
Veröffentlicht in: Lectures on Quantum Statistics - With Applications to Dilute Gases and Plasmas, Ausgabe 953, 2019, Seite(n) 181-198, ISBN 978-3-030-05733-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-12330-7_9