Locomotive motor bearing automatic diagnostic method based on vibration acceleration signal

A vibration acceleration, motor bearing technology, used in the testing of mechanical components, testing of machine/structural components, measuring devices, etc., can solve problems such as large amounts of data, misdiagnosis, and dependence on personal experience

Active Publication Date: 2019-09-24
湖北微特传感物联研究院有限公司
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Problems solved by technology

The above alarm indicators are easily disturbed by noise and are not sensitive to faults, causing serious problems of misdiagnosis and missed diagnosis; the above fault location method needs to rely on professionals to interpret fault results, which is very dependent on personal experience, resulting in huge labor costs
In addition, with the development of artificial int...

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  • Locomotive motor bearing automatic diagnostic method based on vibration acceleration signal
  • Locomotive motor bearing automatic diagnostic method based on vibration acceleration signal
  • Locomotive motor bearing automatic diagnostic method based on vibration acceleration signal

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Embodiment Construction

[0073] The technical solution of the present disclosure will be described in detail below with reference to the drawings and embodiments.

[0074] Such as figure 1 As shown, a method for automatic diagnosis of locomotive motor bearings based on vibration acceleration signals includes the following steps:

[0075] S100: collect the vibration acceleration signal x(t) of the motor bearing and the speed key phase signal v(t);

[0076] S200: Perform order tracking and constant angle incremental sampling on the vibration acceleration signal x(t): obtain the corresponding relationship between the time and the bearing rotation angle θ=v(t) according to the key-phase signal of the speed, and compare the time t with the bearing rotation The functional relation of angle θ t=v -1 (θ) is substituted into the collected vibration acceleration signal x(t) to obtain the angular domain vibration acceleration signal x(v -1 (θ)), simplified as

[0077] S300: Calculate the angular domain vib...

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Abstract

The invention discloses a locomotive motor bearing automatic diagnostic method based on a vibration acceleration signal, comprising the steps of: acquiring a vibration acceleration signal and a speed key phase signal of a motor bearing; performing order tracking and constant-angle incremental sampling, and converting the vibration acceleration signal into an angular-domain vibration acceleration signal; calculating an FFT spectrum and an EEVS enhanced envelope spectrum; setting effective frequency bands in the FFT spectrum and the EEVS enhanced envelope spectrum according to a bearing fault frequency; calculating the fault probability of each component of the bearing according to the band energy in the FFT spectrum and the EEVS enhanced envelope spectrum; setting weights and calculating the weighted probability of each component of the bearing; comparing a preset fault reference probability with the weighted probability of the current bearing so as to automatically determine a fault type and representing the severity of the fault by the weighted probability.

Description

technical field [0001] The disclosure belongs to the field of signal processing analysis and fault diagnosis, and in particular relates to an automatic diagnosis method for locomotive motor bearings based on vibration acceleration signals. Background technique [0002] Motor bearings are fault-prone parts of railway locomotives, which seriously affect the safety of locomotive operation. Accurate and automatic fault diagnosis can significantly reduce the troubleshooting workload of motor design and locomotive maintenance departments. At present, the vibration acceleration signal has been widely used in the fault diagnosis of locomotive motor bearings. By collecting the vibration acceleration signal, not only the fault degree can be warned but also the fault location can be realized. Among them, the fault degree early warning indicators mainly include: peak-to-peak value, mean square amplitude, and kurtosis value; fault location methods mainly include: FFT spectrum analysis me...

Claims

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Application Information

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IPC IPC(8): G01M13/045
CPCG01M13/045
Inventor 刘一龙陈雪峰张兴武王诗彬田绍华
Owner 湖北微特传感物联研究院有限公司
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