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Crane swing mechanism gear fault diagnosis method and system and storage medium

A fault diagnosis and slewing mechanism technology, which is applied in the field of computer-readable storage media and crane slewing mechanism gear fault diagnosis, can solve problems such as early fault diagnosis of crane slewing mechanism gears that are not applicable, and achieve the effect of early fault diagnosis

Inactive Publication Date: 2020-12-22
WUHAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, it is necessary to provide a method, system and computer-readable storage medium for fault diagnosis of crane slewing mechanism gears, so as to solve the problem that the prior art is not suitable for early fault diagnosis of crane slewing mechanism gears

Method used

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  • Crane swing mechanism gear fault diagnosis method and system and storage medium
  • Crane swing mechanism gear fault diagnosis method and system and storage medium
  • Crane swing mechanism gear fault diagnosis method and system and storage medium

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Embodiment 1

[0035] The embodiment of the present invention provides a method for diagnosing gear faults in the slewing mechanism of a crane, and its flow chart is as follows: figure 1 As shown, the method includes the following steps:

[0036] S1. Collect gear vibration signals, and preprocess the gear vibration signals to obtain sample signals;

[0037] S2. Extracting the angular domain features of the sample signal, forming the angular domain features into a feature vector, constructing a fault feature space from the feature vector, and obtaining principal components in the fault feature space;

[0038] S3. Training a BP neural network according to the principal components to obtain a BP neural network classifier for gear fault diagnosis;

[0039] S4. Collect the gear vibration signal again, obtain the principal component corresponding to the gear vibration signal, input the principal component into the BP neural network classifier for gear fault diagnosis, and obtain the gear fault di...

Embodiment 2

[0086] An embodiment of the present invention provides a gear fault diagnosis system for a crane slewing mechanism, including a signal acquisition and preprocessing module, a principal component acquisition module, a classifier acquisition module, and a gear fault diagnosis module;

[0087] The signal collection and preprocessing module is used to collect gear vibration signals, and preprocess the gear vibration signals to obtain sample signals;

[0088] The principal component acquisition module is configured to extract angle-domain features of the sample signal, form the angle-domain features into a feature vector, construct the feature vector into a fault feature space, and obtain principal components in the fault feature space;

[0089] The classifier obtaining module is used to train a BP neural network according to the principal components to obtain a BP neural network classifier for gear fault diagnosis;

[0090]The gear fault diagnosis module is used to re-acquire gear...

Embodiment 3

[0092] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for diagnosing a gear failure of a slewing mechanism of a crane as described in Embodiment 1 is implemented.

[0093] The invention discloses a gear fault diagnosis method and system of a crane slewing mechanism and a computer-readable storage medium. By collecting gear vibration signals, the gear vibration signals are preprocessed to obtain sample signals; the angle domain of the sample signals is extracted. Features, the angle domain features are formed into feature vectors, and the feature vectors are constructed into a fault feature space to obtain principal components in the fault feature space; BP neural network is trained according to the principal components to obtain gear fault diagnosis. BP neural network classifier; re-collect the gear vibration signal, obtain the correspondi...

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Abstract

The invention relates to a crane swing mechanism gear fault diagnosis method and system and a computer readable storage medium, and the method comprises the following steps: collecting a gear vibration signal, and carrying out the preprocessing of the gear vibration signal, and obtaining a sample signal; extracting angular domain features of the sample signal, forming a feature vector by the angular domain features, constructing a fault feature space by the feature vector, and obtaining a principal component in the fault feature space; training a BP neural network according to the main component to obtain a BP neural network classifier for gear fault diagnosis; and re-collecting the gear vibration signal, obtaining a main component corresponding to the gear vibration signal, and inputtingthe main component into a BP neural network classifier for gear fault diagnosis to obtain a gear fault diagnosis result. According to the crane swing mechanism gear fault diagnosis method, early faultdiagnosis of the crane swing mechanism gear can be achieved.

Description

technical field [0001] The invention relates to the technical field of crane fault diagnosis, in particular to a method, a system and a computer-readable storage medium for fault diagnosis of a gear of a crane slewing mechanism. Background technique [0002] The slewing mechanism is a key component connecting the crane base and the upper rotatable parts. Its operating status is directly related to the normal operation and safe use of the whole machine. When the mechanism is working, there will be frequent emergency start and brake, and the impact vibration generated by it will make the slewing support gear After running for a period of time, various early defects will occur, such as early cracks, pitting and so on. If the early faults cannot be found in time, the defects will further expand during operation, and serious faults such as broken teeth will occur, which will cause severe vibration of the machinery, resulting in damage or shutdown of mechanical equipment, resultin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G01M13/021G01M13/028
CPCG06N3/084G01M13/021G01M13/028G06N3/045G06F2218/04G06F2218/08G06F2218/12G06F18/241
Inventor 王贡献徐志海胡志辉胡勇袁建明
Owner WUHAN UNIV OF TECH
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