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This paper focuses on fault diagnosis using neuro-fuzzy network. It is shown that less reliable result may be derived as the network takes no consideration of previous state information in online fault diagnosis. To solve this problem, we combine a modified neuro-fuzzy network with the evidence update theory. Besides, a new updating rule that combining the Jeffery-like rule and linear combination...
Multivariate statistical process monitoring (MSPM) is an efficient data-driven fault detection and diagnosis approach for complex industrial processes. Partial least squares or projection to latent structures (PLS) is one of the latent projection structures used in MSPM, which uses process data X and quality data Y together. In this paper, we discuss a new fault diagnosis approach based on total projection...
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