Optimal Automated Process Fault Analysis

The book first describes motivations for automating process fault analysis in detail and subsequently discusses MOME and its associated Fuzzy logic algorithm. Other chapters cover various topics related to process fault Analysis including the need for augmenting process fault analysis with trend analysis of the various process sensor measurements and Key Performance Indicators (KPIs). Also included is a brief review of a number of the other various possible diagnostic strategies used to automate process fault analysis as well as their limitations. A description of DuPont's plant and the original automated process fault analyzer developed for it including the lessons learned from the development of this real-world fault analyzer and the advantages of using the knowledge-based system paradigm for solving problems are also included.

Dr. Richard J. Fickelscherer is currently a licensed Professional Engineer and is a principal owner of FALCONEER Technologies, LLC. He has developed and implemented programs which provide various supervisory control functions for DuPont, Exxon-Mobile, Merck Pharmaceuticals, Koch Industries, the FMC Corporation and many other client companies.

Dr. Daniel L. Chester joined the Department of Computer and Information Sciences at the University of Delaware in 1980, where he soon became one of the principal investigators on the FALCON project. He is currently Associate Chair in the computer science department at the University of Delaware. He has been involved in the creation and development of three companies, one of which is FALCONEER Technologies, LLC. He is also co-inventor in five U.S. patents.