Gear Fault Diagnosis Based on Time Synchronous Average and Envelope Analysis

2013 ◽  
Vol 303-306 ◽  
pp. 502-505 ◽  
Author(s):  
Yun Li ◽  
Yan Gao ◽  
Jun Guo ◽  
Xian Jun Yu ◽  
Yan Xue Liu
Keyword(s):  
Fault Diagnosis ◽  
Simulation Study ◽  
Spectrum Analysis ◽  
Rotation Frequency ◽  
High Accuracy ◽  
Envelope Analysis ◽  
Gear Mesh ◽  
Gear Fault ◽  
Gear Fault Diagnosis ◽  
Envelope Spectrum

This paper proposed a new method of gear fault diagnosis in gearbox. Mainly it stresses on the combination of time synchronous average (TSA) and envelope analysis, using TSA technique to eliminate the random noises in the gearbox. Then, the clear rotation frequency, gear mesh frequency and their harmonics can be obtained through the envelope spectrum analysis. Simulation study indicates that this method can effectively detect the gear faults with a high accuracy.

Gear Fault Diagnosis Methods Based on EMD and HMM

2013 ◽  
Vol 333-335 ◽  
pp. 1684-1687
Author(s):  
Bin Wu ◽  
Song He Zhang ◽  
Yue Gang Luo ◽  
Shan Ping Yu
Keyword(s):  
Fault Diagnosis ◽  
Vibration Signal ◽  
Modulation Amplitude ◽  
Double Frequency ◽  
Gear Mesh ◽  
Gear Fault ◽  
Diagnosis Method ◽  
Modulation Signal ◽  
Gear Fault Diagnosis ◽  
Modulation Sideband

Due to the feature and the forms of motion of the gears, the vibration signal of the gear is mainly the frequency modulation, amplitude modulation, or hybrid modulation signal corresponding to the gear-mesh frequency and its double frequency signal. When faults arise on the gears, the number and shape of the modulation sideband will be changed. The structures and forms of the FM composition differ according to the type of faults. According to the above mentioned characteristic, this essay raises a method to disassemble the gear vibrate signal, points out the formulas to build up characteristic vector, on that basis, the essay raised a gear fault diagnosis method based on EMD and Hidden Markov Model (HMM), this method can identify the working condition of the normal gears, snaggletooth gears, and pitting gears.

Fault Diagnosis of Gearbox Based on ICA and Envelope Analysis

2012 ◽  
Vol 430-432 ◽  
pp. 2054-2057
Author(s):  
Bin Li ◽  
Yu Guo ◽  
Ting Wei Liu ◽  
Yan Gao
Keyword(s):  
Fault Diagnosis ◽  
Independent Component Analysis ◽  
Spectrum Analysis ◽  
Frequency Characteristics ◽  
Independent Component ◽  
Test Results ◽  
Envelope Analysis ◽  
Envelope Signal ◽  
Envelope Spectrum ◽  
Types Of Faults

The traditional envelope analysis methods are usually ineffective in the fault diagnosis of Gearbox on the condition that there are multi-fault sources in mechanic systems. In the paper, an independent component analysis (ICA) approach is proposed incorporating with the envelope analysis to handle the difficulty. The gearbox envelope signal can be separated into different components according to different vibration sources, and then be further studied by the envelope spectrum analysis in terms of the vibrations in the gearbox. Extensive practical tests on the gearbox including two types of faults are performed to verify the validity of the proposed method. The test results show that the fault frequency characteristics can be separated successfully and the faults are identified precisely.

Research of Gear Fault Comprehensive Diagnosis Method Based on Analysis of Vibration Signal

2014 ◽  
Vol 898 ◽  
pp. 892-895
Author(s):  
Zhan Jie Lv ◽  
Wen Xu ◽  
Gui Ji Tang ◽  
Guo Dong Han ◽  
Shu Ting Wan
Keyword(s):  
Fault Diagnosis ◽  
Vibration Signal ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
Gear Fault ◽  
Gear Fault Diagnosis ◽  
The Time Domain ◽  
Envelope Spectrum ◽  
Signal Processing Methods

For gearbox common type of fault, leads to common methods gear fault diagnosis, according to the various parameters of the gearbox, to give a gearbox fault frequencies. Using mat lab signal analysis, by the time domain analysis, frequency domain analysis, cestrum analysis, signal processing methods envelope spectrum consolidated results there is a fault in the gearbox countershaft. This papers they have certain significance to gear fault diagnosis.

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