Multi-modal industrial process fault detection method of weighted k-nearest neighbor standardized method
An industrial process and fault detection technology, applied in electrical testing/monitoring, testing/monitoring control systems, instruments, etc., can solve problems such as low fault detection accuracy, achieve the effect of improving fault detection accuracy and eliminating modal effects
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[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0034] refer to Figure 1-6 , the present invention provides a multimodal industrial process fault detection method based on a weighted k-nearest neighbor standardization method, a WKNS-PCA fault detection method, which is used to effectively detect multimodal processes, improve the accuracy of process detection and reduce false alarms and omissions The WKNS-PCA method mainly includes the modeling stage and the detection stage; the modeling stage includes the ...
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