Bearing fault diagnosis method under variable speed working condition based on mobile equipment

Abstract

According to a bearing fault diagnosis method under the variable-speed working condition based on mobile equipment, carrier waves are emitted through a loudspeaker of the mobile equipment, amplitude demodulation is carried out on sound signals collected by a microphone, then instantaneous phase signals of a rotating shaft where a bearing is located are restored through maximum search and least square polynomial fitting, a spectral kurtosis method is used to extract a fault impact envelope to perform order tracking, and a bearing fault is judged through envelope order spectrum analysis. According to the method, test hardware outside mobile equipment does not need to be used, the test cost is reduced, the fault order of the bearing is irrelevant to the rotating speed, compared with a traditional envelope spectrum, the envelope order spectrum is easier to judge the occurrence and the type of the fault, the method is suitable for bearing diagnosis under the working condition of a fixed rotating speed, and a mobile phone program application form is beneficial to technical popularization and field personnel use.

Description

technical field [0001] The invention relates to the fields of mechanical fault diagnosis technology and signal processing and analysis technology, in particular to a bearing fault diagnosis method based on mobile equipment under variable speed operating conditions. Background technique [0002] Bearing is a widely used mechanical component, and its health monitoring is very important for the safe and stable operation of rotating machinery equipment. Vibration and noise analysis is a common method for bearing fault diagnosis. Vibration and noise analysis generally requires professional data acquisition cards and sensor hardware. For non-critical equipment objects, the price is too high. In addition, a large number of bearings work under variable speed conditions, and bearing fault diagnosis under variable speed conditions also depends on speed measurement hardware, such as photoelectric probes and encoders, which increases the test cost. [0003] In literature [1], the autho...

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Problems solved by technology

Vibration and noise analysis is a common method for bearing fault diagnosis. Vibration and noise analysis generally requires professional data acquisition cards and sensor hardware. For non-critical equipment objects, the price is too high

In addition, a large number of bearings work under variable speed conditions, and bearing fault diagnosis under variable speed conditions also depends on speed measurement hardware, such as photoelectric probes and encoders, which increases the test cost

[0003] In literature [1], the author collects the radiation noise of the bearing through the built-in microphone of the mobile phone, and realizes the diagnosis of the bearing fault through the analysis and processing ...

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