A method of gear fault diagnosis

A fault diagnosis and gear technology, applied in the testing of machines/structural components, mechanical components, instruments, etc., can solve the problem that the gear fault diagnosis method cannot identify the fault type at the same time, so as to avoid the occurrence of sudden accidents, The effect of improving the effect and reducing the labor cost

Active Publication Date: 2020-07-24
珠海华星智能技术有限公司
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Problems solved by technology

[0004] The present invention aims to solve the problem that the existing gear fault diagnosis method cannot identify the fault type and locate the fault at the same time, and provides a gear fault diagnosis method

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  • A method of gear fault diagnosis
  • A method of gear fault diagnosis
  • A method of gear fault diagnosis

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific examples and with reference to the accompanying drawings.

[0032] see figure 1 , a kind of gear fault diagnosis method that the present invention proposes, the fault frequency on the time-frequency diagram that generalized linear Chirplet (FM wavelet) transformation algorithm obtains and cycle period are judged the position of faulty gear, is used for the location of gear fault source; At the same time, time domain, frequency domain and wavelet energy feature indexes are used for feature extraction of faulty gear vibration signals to obtain more detailed fault information, and particle swarm optimization support vector machine is used to classify the optimized features. By combining gear fault source location and fault type identification, the diagnosis efficiency and recognition ac...

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Abstract

The invention discloses a gear fault diagnosis method. The location of a faulted gear is determined based on a fault frequency and cycle time, obtained by a generalized linear Chirplet (frequency modulation wavelet) transform algorithm, on a time-frequency map, so that positioning of a gear fault source is carried out; time-domain, frequency-domain and wavelet energy feature indicators are used for feature extraction of a faulted gear vibration signal to obtain accurate detailed fault information; and optimized features are classified by using a support vector machine after particle swarm optimization. On the basis of combination of the gear fault source positioning and fault type identification, the diagnostic efficiency and the recognition accuracy are improved and the complete diagnosisof the gear fault is realized.

Description

technical field [0001] The invention relates to the technical field of gear fault diagnosis, in particular to a gear fault diagnosis method. Background technique [0002] In recent years, with the development of my country's economy and the continuous improvement of science and technology, various types of electromechanical equipment have been widely used in engineering practice. As an important transmission part of the equipment system, gears may cause property losses and even casualties once they fail. Therefore, timely diagnosis of gear faults is of great significance. [0003] Gears will vibrate when they fail, and the frequency of vibration is different, and the types of gear failures are also different. Existing gear fault diagnosis methods often only propose specific fault diagnosis methods for identifying the type of gear fault or judging which gear is faulty from the cycle frequency, that is, the location of the fault source. However, in engineering practice, ther...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/021G01M13/028
CPCG01M13/021G01M13/028
Inventor 蒋占四徐飞宋威震黄惠中倪伟杨庆勇胡永敢
Owner 珠海华星智能技术有限公司
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