Two-stage equipment fault diagnosis method

A technology of equipment faults and diagnostic methods, applied in neural architecture, biological neural network models, etc., can solve problems such as overfitting and unreliable fault prediction results, so as to avoid imbalance, improve accuracy and explain sexual effect

Inactive Publication Date: 2018-03-30
BEIJING INST OF COMP TECH & APPL
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Problems solved by technology

Processing unbalanced data together will lead to overfitting, making the failure prediction effect unreliable

Method used

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  • Two-stage equipment fault diagnosis method
  • Two-stage equipment fault diagnosis method
  • Two-stage equipment fault diagnosis method

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Embodiment Construction

[0048] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0049] Such as figure 1 As shown, the two-stage equipment fault diagnosis method of the present invention comprises the following steps:

[0050] Step 1. Data processing step: According to the data collected by the sensor, the data is cleaned and processed in a unified manner;

[0051] Step 2. Fault diagnosis step based on case search: for the collected data, search through the K-nearest neighbor method in the pre-established fault case database. Based on the preset threshold, for the searched cases, return the corresponding fault type information and end, and continue to step 3 for the unsearched cases;

[0052] Step 3. Fault judgment step based on time characteristics: Calculate the obtained equipment state character...

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Abstract

The present invention relates to a two-stage equipment fault diagnosis method and relates to the technical field of equipment fault diagnosis. According to the method provided by the present invention, the steps of the prediction model can be adjusted according to the requirements of different response times, calculation capabilities, details of fault diagnosis types, the dependence on human factors of maintenance personnel can be reduced, the efficiency of equipment fault diagnosis can be improved, important references can be provided for the maintenance personnel to determine the equipment faults, and the method can play an important role in the equipment fault type diagnosis under different conditions.

Description

technical field [0001] The invention relates to the technical field of equipment fault diagnosis, in particular to a two-stage equipment fault diagnosis method. Background technique [0002] In the whole process of equipment maintenance support, the relationship between equipment failure phenomenon (or failure symptom) and failure cause (or failure unit) is complex, and has the characteristics of randomness and uncertainty. [0003] Due to the lack of reasoning ability and self-learning ability under inaccurate conditions, traditional fault diagnosis methods have exposed the disadvantages of low efficiency and high cost of fault diagnosis. [0004] Early fault diagnosis methods relied too much on the judgment of domain experts or experienced maintenance personnel, resulting in extremely subjective and high cost in the process of diagnosing faults. [0005] The general forecasting method ignores the time order factors of the acquisition of all feature sequences, resulting in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04
CPCG06N3/042
Inventor 焦亚森王金龙方志郑箘
Owner BEIJING INST OF COMP TECH & APPL
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