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

A technology of correlation analysis and operating parameters, which is applied in forecasting, data processing applications, electrical digital data processing, etc., to achieve the effect of complete equipment abnormal information and predicting results in advance

Active Publication Date: 2019-07-12
ZHEJIANG UNIV
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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

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

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Embodiment Construction

[0060] The specific implementation of the present invention will now be further described in conjunction with the accompanying drawings. Part of the principles have been described in detail above and will not be repeated here. The following example uses a real case based on the trip data of the low vacuum protection of the steam turbine to illustrate the specific operation steps and verify the effectiveness of the proposed method.

[0061] This milling machine data records the degradation of the operation of cutting metallic materials with milling cutters. The initial operating condition of the steam turbine is load 250MW, condenser vacuum 93kPa, with the condenser vacuum value as the indicator parameter, vacuum A starts to indicate abnormality from the 762nd sampling point, when the vacuum value drops to 81kPa, the steam turbine trips machine. The method for predicting abnormal working conditions of industrial processes includes the following steps:

[0062] Step 1: Use the...

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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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Application Information

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IPC IPC(8): G06F17/50G06Q10/04G06Q10/00
CPCG06Q10/04G06Q10/20G06F30/20
Inventor 徐正国王豆陈积明程鹏孙优贤
Owner ZHEJIANG UNIV
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