Multiple Multiplicative Fault Diagnosis for Dynamic Processes via Parameter Similarity Measures

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• 作者：Hsiao-Ping Huang ; Cheng-Chih Li ; Jyh-Cheng Jeng
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2007
• 出版时间：June 20, 2007
• 年：2007
• 卷：46
• 期：13
• 页码：4517 - 4530
• 全文大小：238K
• 年卷期：v.46,no.13(June 20, 2007)
• ISSN：1520-5045

文摘

In this paper, a systematic approach that employs novel parameter similarities is proposed to detect, isolate,and identify multiplicative faults in a multi-input multi-output (MIMO) dynamic system. These multiplicativefaults are usually difficult to deal with using conventional statistics-based methods. Similarity measures basedon impulse response sequences of dynamic elements are defined. By using the proposed similarity measures,the overall and local faults, including dead time, gain, and other dynamic parameters in a multivariate process,can be detected and isolated. The method has the potential to be used for on-line fault diagnosis. Simulatednumerical and industrial examples are used to demonstrate the methodology.