Industrial process abnormal condition prediction method based on operation parameter correlation analysis

Abstract

The invention discloses an industrial process abnormal condition prediction method based on operation parameter correlation analysis. The method can be applied to fault prediction and health management of an industrial process. The method starts from the relevance among industrial process operation parameters, and performs abnormal condition prediction based on relevance analysis of the operationparameters. In a single-parameter prediction stage, all operation parameters are predicted through an exponential smoothing method according to existing sensor data. In a correlation analysis stage, operation parameter correlation is calculated through known operation parameter values and parameter predicted values, and the parameter correlation is represented by similarity of a series of indexesrepresenting parameter curves. In a correlation trend prediction stage, a multivariate autoregression model is constructed to predict parameter correlation. According to the method, operation parameter relevance is considered, more complete equipment abnormal information and a more advanced prediction result can be obtained, and practical significance is achieved for fault prediction of industrialequipment.

Description

technical field [0001] The invention belongs to the technical field of reliability engineering and relates to a method for predicting abnormal working conditions of industrial processes based on correlation analysis of operating parameters. Background technique [0002] With the continuous emergence of complex systems and the increasing demand for real-time monitoring of industrial processes, modern industrial equipment is often equipped with multiple sensors to monitor its operating status during operation. At the same time, there may be multiple failure modes during the operation of the equipment, and a certain failure may correspond to several symptoms. In this case, single sensor information can no longer fully reflect the equipment operating status, and failure prediction based on multi-sensor information came into being. Fault prediction based on multi-sensor information aims to use comprehensive sensor information to analyze the operating status of equipment, so as to...

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Problems solved by technology

[0004] In view of the existing technical situation, the purpose of the present invention is to solve the problem that there is a correlation between the operating parameters of the equipment during the operation process, to judge the state of the equipment operation process through the correlation of the operating parameters, and to judge the change trend of the correlation of the operating parameters Prediction of abnormal working conditions of equipment

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