Incipient Sensor Fault Diagnosis Based on Average Residual-Difference Reconstruction Contribution Plot

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• 作者：Jiyang Xuan ; Zhengguo Xu ; Youxian Sun
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2014
• 出版时间：May 7, 2014
• 年：2014
• 卷：53
• 期：18
• 页码：7706-7713
• 全文大小：354K
• 年卷期：v.53,no.18(May 7, 2014)
• ISSN：1520-5045

文摘

This paper presents a novel method to diagnose incipient single sensor fault for data-driven process monitoring. As the traditional fault detection methods using statistical indices are not sensitive to incipient faults and the reconstruction-based contribution plot (RBCP), which reduces the fault smearing effect of the traditional contribution plot (TCP) also does not take incipient faults into consideration, a new contribution plot based on average residual-difference and reconstruction is defined to detect incipient faults with high detection sensitivity and to overcome two main disadvantages, lack of consideration of contribution plot in the normal condition and using the data at one sampling time, of the RBCP when incipient faults are treated. Then, fault magnitude can be estimated after the correct identification without the need of a fault direction set, which is different from the fault reconstruction method. The effectiveness of the proposed fault diagnosis method is verified by a Monte Carlo numerical simulation and the benchmark quadruple-tank process.