Intelligent criterion mining system for complex equipment fault diagnosis

Abstract

The invention discloses an intelligent criterion mining system for complex equipment fault diagnosis. The intelligent criterion mining system comprises a test data management module, a data health state screening module, a data cleaning module, a criterion mining module, a criterion management module and a man-machine interaction module. The test data management module uniformly manages the test data; the data health state screening module screens the data according to the test data state label for data extraction of a post-stage module; the data cleaning module preprocesses the test data; the criterion mining module is used for mining a target criterion; the criterion management module checks mining criteria and manages known criteria in a unified manner; the man-machine interaction module controls the whole criterion mining process. According to the mining system, the parameter envelope or threshold type time sequence criterion for fault diagnosis can be mined, time dimension error calibration of multiple test data sequences, smooth noise reduction processing of the mining criterion and validity check of the mining criterion are supported, the criterion mining process is controllable and visual, and man-machine interaction is friendly.

Description

technical field [0001] The invention relates to the technical field of complex equipment fault diagnosis, in particular to an intelligent criterion mining system for complex equipment fault diagnosis. Background technique [0002] In modern industry, the role of complex equipment is becoming more and more important. In order to reduce the impact of equipment failure on production efficiency and work efficiency, and reduce maintenance costs at the same time, the condition-based equipment maintenance method that benefits from the development of equipment fault diagnosis technology has begun to be applied. [0003] The current equipment fault diagnosis technology can be divided into two categories: model-based diagnosis and data-based diagnosis. Data-based equipment fault diagnosis technology has many branches, among which the extraction of abnormal symptoms directly from the data sequence from the time dimension is the most important and widely used technology. [0004] In t...

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Problems solved by technology

[0006] The technology of the present invention solves the problem: Aiming at the requirement of data-based fault diagnosis for complex equipment, the design solves the problem of intelligent criterion mining, and provides an intelligent criterion mining system for complex equipment fault diagnosis

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