Multiple-Fault Diagnosis Based on System Decomposition and Dynamic PLS

This study suggests a hybrid method of signed digraph and partial least squares for the fault diagnosis of chemical processes. Using the local qualitative relationships of each variable in a signed digraph, a process is decomposed into subprocesses to allow for the reliable diagnosis of multiple fau...

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Veröffentlicht in:Industrial & engineering chemistry research 2003-11, Vol.42 (24), p.6145-6154
Hauptverfasser: Lee, Gibaek, Song, Sang-Oak, Yoon, En Sup
Format: Artikel
Sprache:eng
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Zusammenfassung:This study suggests a hybrid method of signed digraph and partial least squares for the fault diagnosis of chemical processes. Using the local qualitative relationships of each variable in a signed digraph, a process is decomposed into subprocesses to allow for the reliable diagnosis of multiple faults. A partial least-squares model is built for the estimation of each measured variable in each decomposed subprocess. To handle the process dynamics accurately, the input of the partial least-squares model uses both the current values and the past values of the process variables. In each case, the measured and estimated values are compared to diagnose the fault. A case study of a continuously stirred tank reactor illustrates the conclusion that the proposed method greatly improves the accuracy, resolution, and reliability of the diagnosis.
ISSN:0888-5885
1520-5045
DOI:10.1021/ie030084v