APPLICATION OF FAULT DIAGNOSIS BASED ON TIME-FREQUENCY DISTRITUTION TO ROLLING BEARINGS OF PLANETARY GEAR BOX
Tian Guang
Abstract
Tian Guang
Abstract
The rolling bearings of gear box have two limitations. The limitations not only have the relation of the frequency, but of the time compactly. If the fault signals are only analyzed from the time domain or the frequency domain,all the characters of the fault signal will be got difficulty.Using the time and the frequency’s combined function to express the signal and introducing the time-frequency analysis to the fault diagnosis must accord with the practice.The vibration singles of the planetary gear box rolling bearings have analyzed combined the example. The results show that the pseudo-Wigner-Ville distribution(PWD) can reflect the time-frequency fault information of the rolling bearings efficiently and visually; moreover it has more better differentiate ability in the fault information. And it will provide a facility, feasible means to the analyses of the uncalm , time-changing machine vibrant signal.
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The rolling bearings of gear box have two limitations. The limitations not only have the relation of the frequency, but of the time compactly. If the fault signals are only analyzed from the time domain or the frequency domain,all the characters of the fault signal will be got difficulty.Using the time and the frequency’s combined function to express the signal and introducing the time-frequency analysis to the fault diagnosis must accord with the practice.The vibration singles of the planetary gear box rolling bearings have analyzed combined the example. The results show that the pseudo-Wigner-Ville distribution(PWD) can reflect the time-frequency fault information of the rolling bearings efficiently and visually; moreover it has more better differentiate ability in the fault information. And it will provide a facility, feasible means to the analyses of the uncalm , time-changing machine vibrant signal.
Key concepts: Fault (geology), Time domain, SIGNAL (programming language), Frequency domain, Vibration, Engineering, Time–frequency analysis, Bearing (navigation)