Gear case fault diagnosis method based on blind source separation

A technology of blind source separation and fault diagnosis, which is used in machine gear/transmission mechanism testing, special data processing applications, instruments, etc. to remove external interference, improve fault diagnosis accuracy, and solve fault location.

Inactive Publication Date: 2015-03-04
SHENYANG INSTITUTE OF CHEMICAL TECHNOLOGY
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Provide a theoretical basis for fault identification a

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  • Gear case fault diagnosis method based on blind source separation
  • Gear case fault diagnosis method based on blind source separation
  • Gear case fault diagnosis method based on blind source separation

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[0022] The present invention will be described in further detail below in conjunction with the embodiments shown in the accompanying drawings.

[0023] The present invention is specifically implemented as follows:

[0024] 1 Blind source signal separation

[0025] 1.1 Blind source separation of signals.

[0026] It can recover several observed aliased signals into their separate signals. Usually the observed signal is obtained from the output of the sensor, and the sensor receives the unknown aliased signal of several source signals. "Blind" here means that the source signal cannot be directly observed, and there is no information about how the signal is aliased. In blind source separation, the lack of information of signal aliasing methods is compensated by assuming that the source signals are mutually independent. figure 1 is a general model for blind source-signal separation, assuming that there exists statistically independent signals and at least observed aliasi...

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Abstract

The invention discloses a gear case fault diagnosis method based on blind source separation and relates to a mechanical fault diagnosis method, the method is applied to the blind source separation technology for solving the gear case fault diagnosis problem. The blind source separation technology is applied to the gear case diagnosis based on vibration analysis as the main tool for pre-processing the signal and extracting the fault feature and is capable of greatly strengthening the fault information, changing the conventional fault information strengthening thought by taking the noise reducing process as the main part, raising the diagnosis precision and solving the problems that the fault is difficult to locate and the early fault diagnosis rate is low. The blind source separation technology is applied to the gear case diagnosis based on vibration analysis as the main tool for pre-processing the signal and extracting the fault feature and is capable of greatly strengthening the fault information. The conventional fault information strengthening thought by taking the noise reducing process as the main part is changed for raising the diagnosis precision and solving the problems that the fault is difficult to locate and the early fault diagnosis rate is low.

Description

technical field [0001] The invention relates to a mechanical fault diagnosis method, in particular to a gearbox fault diagnosis method based on blind source separation. Background technique [0002] Vibration signal analysis technology is one of the main means of mechanical equipment status detection and fault diagnosis, and a relatively complete theoretical and technical system has been formed. However, in practice, multi-measuring points and multi-sensor acquisition methods are widely used in state monitoring and fault diagnosis systems. In complex working conditions, the signals picked up by sensors are often mixed signals generated by different signal sources. The fault-related vibration signals are often polluted by structural vibration and interference noise, especially the early fault signals are often very weak and the signal-to-noise ratio is low, which greatly affects the existing feature extraction and fault diagnosis methods, and the false alarm rate High, w...

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Application Information

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IPC IPC(8): G01M13/02G06F19/00
Inventor 刘欢高淑芝王健赵立杰郭烁张琳琳
Owner SHENYANG INSTITUTE OF CHEMICAL TECHNOLOGY
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