Process fault analysis device of process industry system and method therefor
A fault analysis method and process industry technology, applied in the direction of comprehensive factory control, comprehensive factory control, electrical program control, etc., can solve problems such as aggravated fault monitoring and analysis calculation burden, abnormal identification and separation ability, multi-noise information, etc., to achieve Solve knowledge or experience to select monitoring points, improve fault identification and separation capabilities, and monitor timely and accurate results
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[0036] First, the concepts of complex network theory, network topology characteristics, and node correlation strength involved in the present invention are briefly introduced and defined as follows:
[0037]Principal component analysis (PCA): referred to as PCA, is a technique commonly used in process monitoring. The process of reducing the dimensionality of a data set composed of correlated variables to obtain characteristic signals (pivot signals) that are not correlated with each other, that is, using less dimensional principal component signals to represent the dynamic changes of the process data matrix. It constructs the process statistic T based on the process principal component feature signal subspace information 2 And the statistic Q of residual information subspace information, determine its control limit, and then realize the process of process monitoring. When system abnormalities are detected, fault variables are identified by constructing contribution graphs or ...
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