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In this paper, a decentralized fault diagnosis approach of complex processes is proposed based on multi-block kernel probabilistic principal component analysis (MBKPPCA). Under the probabilistic modeling framework, this paper introduced MBKPPCA into process monitoring and gave a qualitative analysis on the problems of determining the parameters in MBKPPCA. Efficient Expectation-Maximization algorithms...
In this brief, a new fault isolation method is proposed. The disadvantages of the conventional contribution plot method are: 1) the fault cannot be identified accurately due to process control and recycle loops in process flowsheets. To overcome this disadvantage, the fault-relevant-independent components (ICs) are extracted in this brief, which clearly represent different fault feature and 2) the...
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