Fault diagnosis method based on switching supervised LDSM

Abstract

The present invention discloses an industrial process fault diagnosis method based on a switching supervised LDSM (Linear Dynamic System Model), which is used for fault diagnosis on the condition that a key quality variable is obtainable in an industrial process. According to the fault diagnosis method, a supervised LDSM is expanded to a multi-modal form, and a switching supervised LDSM is established, thus dynamic characteristics and random characteristics of process data are considered, and important process operation information included in quality variables is also fully utilized. In comparison with the conventional method, the fault diagnosis method improves the capability of describing industrial process operation states by the model, improves a fault diagnosis effect, shortens delay time of diagnosis, enables fault processing to be more timely and effective, and is more beneficial to automatic enforcement of industrial process.

Description

technical field [0001] The invention belongs to the field of industrial process control, and in particular relates to an industrial process fault diagnosis method based on a switched supervised linear dynamic system model. Background technique [0002] In order to ensure process safety and improve production efficiency, the problem of fault diagnosis in industrial production process has become more and more important. On the one hand, modern industry tends to be large-scale and complex, so the characteristics of process data are very complex, and there are problems such as high dimensionality, non-Gaussianity, dynamicity, and randomness. The traditional fault diagnosis method uses a certain method under a single assumption, so its diagnostic effect has certain limitations. On the other hand, if the process is not well diagnosed and the faults are dealt with in time, it will affect the quality of the product and reduce the production efficiency; if it is serious, it will cau...

AI Technical Summary

Problems solved by technology

Although the switched linear dynamic system model (SwitchingLDSM) considers the randomness and dynamics of the process data, it does not take advantage of the quality variable

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