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Dual-model fault diagnosis method based on dynamic weighing

A dynamic weighting, fault diagnosis technology, applied in the direction of instruments, electrical testing/monitoring, control/regulation systems, etc., can solve the problems of long convergence time, failure diagnosis methods cannot incorporate empirical knowledge, large differences, etc., to achieve good theoretical and Application value, improving the accuracy of fault diagnosis, and the effect of good performance evaluation indicators

Active Publication Date: 2018-10-12
HEBEI UNIV OF TECH
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Problems solved by technology

However, both of them still have the following deficiencies: data-driven fault diagnosis methods have problems such as inability to integrate empirical knowledge, data imbalance, and large-scale training set training convergence time is too long, making it impossible to obtain relatively high accuracy by relying on data-driven models alone. Good diagnostic effect; the text-driven fault diagnosis method has many problems such as unstable calculation results, large differences, sensitive to data, and prone to overfitting, which makes it difficult to achieve the ideal accuracy rate only by using the text-driven model

Method used

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  • Dual-model fault diagnosis method based on dynamic weighing
  • Dual-model fault diagnosis method based on dynamic weighing
  • Dual-model fault diagnosis method based on dynamic weighing

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Embodiment

[0093] Experimental verification of the dual-model fault diagnosis method based on dynamic weighting:

[0094] 1. Data description

[0095] Such as Figure 3-6 As shown, the experiment takes the bearing vibration data and fault record text provided by a certain company as an example, and selects rolling bearing samples that are worn and have local faults during use. The main fault types are: wear, fatigue spalling, corrosion, fracture, There are seven types of gluing, indentation and cage damage. The fault samples of different damage degrees under the fault state of the inner ring of the rolling bearing are recorded as FT1, FT2, FT3, FT4, FT5, FT6, FT7. Select the normal state (FT0), wear state (FT1), fatigue peeling state (FT2), corrosion state (FT3), fracture state (FT4), glued state (FT5), indentation state (FT6) collected by the vibration sensor at the motor drive end. ) and cage damage state (FT7), the sampling frequency is 12000HZ, the rotating shaft rotates one circl...

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Abstract

The invention discloses a dual-model fault diagnosis method based on dynamic weighing. The method comprises the steps that sensor vibration signals and fault recording texts collected by a motor driveend under the normal state and various fault states are selected; then,the sensor vibration signals and the fault recording texts are learned,then,a dynamic weighing combination algorithm is adoptedfor giving a weight to a model,sub-model SVM multi-classification voting results are combined,and a final classification result is obtained. Joint diagnosis for bearing fault data and bearing fault texts can be achieved. Non-balanced processing and valuable information extraction and classification are performed on equipment operation data,manual recording experience knowledges are effectively combined for text data mining,compared with a single diagnosis model,the method can remarkably improve the fault diagnosis precision,a better performance evaluation index is obtained,and the good theoretic and application value is obtained.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of bearing equipment, in particular to a dual-model fault diagnosis method based on dynamic weighting. Background technique [0002] In recent years, with the advancement of science and technology and the development of modern production, the technological revolution centered on manufacturing has become the key to the competition among major powers. All countries attach great importance to the development of the manufacturing industry: Germany proposed the "Industry 4.0" strategy, known as the fourth industrial revolution centered on intelligent manufacturing; the United States proposed the "National Strategic Plan for Advanced Manufacturing" to develop the manufacturing industry in various ways ; At the same time, the United Kingdom proposed "high-value manufacturing strategy", France proposed "new industrial France", Japan proposed "industrial revival plan" and so on. As a global manufa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 季海鹏刘晶刘凯
Owner HEBEI UNIV OF TECH
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