Variable working condition gear case bearing fault diagnosis method based on form component analysis

A morphological component, fault diagnosis technology, applied in the direction of mechanical bearing testing, machine gear/transmission mechanism testing, measuring devices, etc., can solve the problems of order aliasing, unclear maximum order of signals, etc., and achieve simple signal structure and algorithm. Easy and simple effect

Active Publication Date: 2016-09-07
SHIJIAZHUANG TIEDAO UNIV +1
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Problems solved by technology

[0005] At present, if the maximum order contained in the signal is known, the resampling order can be determined according to the sampling th

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  • Variable working condition gear case bearing fault diagnosis method based on form component analysis
  • Variable working condition gear case bearing fault diagnosis method based on form component analysis
  • Variable working condition gear case bearing fault diagnosis method based on form component analysis

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[0053] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0054] Many specific details are set forth in the following description to facilitate a full understanding of the present invention, but the present invention can also be implemented in other ways different from those described herein, and those skilled in the art can do so without departing from the connotation of the present invention. Similar promotion, therefore, the present invention is not limited by the specific embodiments dis...

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Abstract

The invention discloses a variable working condition gear case bearing fault diagnosis method based on form component analysis, and relates to the technical field of a test method of a gear or a transmission mechanism. According to the method, resonance components correlated with gear vibration and impact components correlated with bearing fault information in gear case bearing fault signals can be sparsely represented by use of different dictionaries, and by use of the form component analysis and through combination with other signal processing methods, fault components with different form components in the signals can be effectively separated. The principle of the method is simple, the algorithm is easily realized, the physical meaning of the signals is clear, the method is an effective gear case bearing fault diagnosis method, and the method can also reduce the angle domain resampling order and reduces the computational complexity of order tracking.

Description

technical field [0001] The invention relates to the technical field of testing methods for gears or transmission mechanisms, in particular to a method for diagnosing bearing faults of gear boxes with variable working conditions based on morphological component analysis. Background technique [0002] In recent years, there have been catastrophic accidents caused by various faults in the gearbox at home and abroad, and these accidents are mainly caused by the faults of the gearbox during operation. At present, in order to prevent such accidents, it is necessary to carry out regular and frequent maintenance to eliminate the faults of the gearbox, which not only increases the normal operation and maintenance costs of the gearbox, but also seriously affects the normal operation of the gearbox, which is easy to cause gear failure. damage to the box. Research on fast and effective gearbox fault diagnosis methods is of great significance for preventing sudden gearbox failures, redu...

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Application Information

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IPC IPC(8): G01M13/02G01M13/04
CPCG01M13/02G01M13/045
Inventor 郝如江牛志雷王胜江杨红娜李辉
Owner SHIJIAZHUANG TIEDAO UNIV
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