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Title: MODEL-BASED CONDITION MONITORING APPLIED TO A LARGE-SCALE INDUSTRIAL STEEL MILL (REPRINTED FROM CONDITION MONITORING 94)
Author: THOMAS, P; KERRIDGE, SR; SLADE, AJ
Abstract: The aim of the IRAS(1) project is to develop fast, robust tools for reliability risk analysis and real-time fault location, based on existing condition monitoring techniques, in complex systems. These tools will have a low threshold of expertise and costs, thus encouraging small as well as large companies to perform reliability analysis on their production. To date Fault Tree Analysis (FTA), Failure Mode Effect Analysis (FMEA) and Real-Time Fault Location (RTFL) have mostly been considered independently, whereas the aim of lRAS is to integrate the tools into a single environment. it should be noted, however that all these algorithms require knowledge about fault initiation within the system and fault propagation through the system, and thus the combination of these techniques reduces the overall complexity and therefore effort required. The IRAS research project concentrates on a generic solution using interactive model building which will allow RTFL, FMEA, FTA to be carried our on a model of a system at arbitrary levels of detail. The system will be used on-line with signals from existing condition monitoring equipment and sensors to allow RTFL by Fault Tree Synthesis. IRAS will also run off-line, for example, in a design environment to produce FMEA. This paper describes the model building aspects of lRAS facilitated by a Graphical User Interface (GUI), with particular reference to the underlying data structures used for the generic analysis techniques for fault and condition monitoring.
Source: INSIGHT
Publication Year: 1995
Volume: 37
Issue nr: 8
Pages: 595 - 598
Science Code: Instruments & Instrumentation; Materials Science, Characterization & Testing
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