Optimal automated process fault analysis /
"Process fault analyzers monitor process operations in order to identify the underlying causes of operational problems. Several diagnostic strategies exist for automating process fault analysis; however, automated fault analysis is still not widely used within the processing industries due to p...
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| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey :
John Wiley and Sons, Inc.,
[2013]
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| Subjects: | |
| Online Access: | CONNECT |
| Summary: | "Process fault analyzers monitor process operations in order to identify the underlying causes of operational problems. Several diagnostic strategies exist for automating process fault analysis; however, automated fault analysis is still not widely used within the processing industries due to problems of cost and performance as well as the difficulty of modeling process behavior at needed levels of detail. In response, this book presents the method of minimal evidence (MOME), a model-based diagnostic strategy that facilitates the development and implementation of optimal automated process fault analyzers. MOME was created at the University of Delaware by the researchers who developed the FALCON system, a real-time, online process fault analyzer. The authors demonstrate how MOME is used to diagnose single and multiple fault situations, determine the strategic placement of process sensors, and distribute fault analyzers within large processing systems."-- |
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| Item Description: | Wiley EBA |
| Physical Description: | 1 online resource (xix, 204 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118481950 9781118481936 1118481933 111848195X |
