Use of fuzzy cause-effect digraph for resolution fault diagnosis for process plants. 2: Diagnostic algorithm and applications
- National Central Univ., Chung-li (Taiwan, Province of China). Dept. of Chemical Engineering
A new model graph called the fuzzy cause-effect digraph (FCDG) model was already proposed in part 1, and its capability to eliminate spurious interpretations attributed to system compensation and inverse responses from backward loops and forward paths is to be demonstrated. In this paper the authors attempt to develop a new fault diagnosis algorithm based on the fuzzy cause-effect digraph model. This method applies fuzzy reasoning to estimate the states of unmeasured variables, to explain fault propagation paths, and to locate fault origins. In particular, it can obtain the fault origin occurring in the process with single and multiple loops at the early stage of fault. This study uses a CSTR as an example to explicate this diagnosis method and compares the results with those of other methods.
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 178422
- Journal Information:
- Industrial and Engineering Chemistry Research, Vol. 34, Issue 5; Other Information: PBD: May 1995
- Country of Publication:
- United States
- Language:
- English
Similar Records
Digraph and fault-tree technique for online process diagnosis
Fault Diagnosis of Steam Generator Using Signed Directed Graph and Artificial Neural Networks