Community Research and Development Information Service - CORDIS

Decomposition of process trends

The aim of the CHEM project was to develop and implement advanced Decision Support Systems (DSS) for process monitoring, data and event analysis, and operation support in industrial processes. The systems are synergistic integration of innovative software tools, which improve the safety, product quality and operation reliability as well as reduce the economic losses due to faulty states, mainly in refining, chemical and petrochemical processes.

The CHEM applications consist of integrated sets of software toolboxes that provide robust detection and diagnosis of process problems in real-time. The systems assist operators in assessing process status and responding to abnormal events. The project provides a flexible architecture and a methodology in order to facilitate the development of such applications on many processes.

The dynamic behaviour of a typical industrial process comprises a large number of concurrent phenomena. Typical dynamic process phenomena include gradual performance degradation (due to, e.g. fouling), stationary fluctuation (due to, e.g. resonating control loops) and sporadic changes (due to, e.g. vessel overflows). These phenomena have different time scales, and should be analysed separately. However, they are superimposed on top of each other in the time series measured from the process.

'Decomposition of process trends' toolbox provides functionality for extracting relevant features from the measured process trends. The toolbox is rapidly tailored for the needs of the plant.

The toolbox has been used, e.g., to detect filter blocking in an industrial gas-cleaning tower.

Reported by

KCL Science and Consulting
02151 Espoo
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