Motor rolling bearing fault diagnosis method and diagnosis system thereof

Abstract

The invention provides a motor rolling bearing fault diagnosis method and a diagnosis system thereof. The motor rolling bearing fault diagnosis method comprises the steps that a three-dimensional coordinate system in radial direction X, forward direction Y and vertical direction Z is used; a three-way acceleration sensor is arranged near a motor rolling bearing to acquire a three-way vibration signal; a rotational speed sensor and an ammeter are arranged to acquire the rotational speed pulse signal of the rolling bearing and measure the current signal of a motor stator; the maximum allowable deviation sigma I determining the current smoothness is set, and the maximum allowable deviation sigma V determining the rotational speed smoothness is set; during the time period T, vibration data under steady rotational speed and current are intercepted through predetermined conditions; valid three-way vibration data Acc in the time period T are extracted; the standard deviation of the three-wayvibration data is calculated, and composite time domain indexes in three directions are calculated; a threshold table is acquired through testing; and the acquired composite time domain indexes in three directions are compared with the threshold table to acquire the fault degree, and an alarm is given out.

Description

technical field [0001] The invention belongs to the technical field of signal processing analysis and fault diagnosis, and in particular relates to a fault diagnosis method and a diagnosis system for a motor rolling bearing. Background technique [0002] The motor is the core component of a railway locomotive, and the bearings are crucial to the safety of the operation. Therefore, real-time monitoring and fault diagnosis of the motor bearings are the key to ensure the reliable operation of the locomotive. In addition, early warning and diagnosis of faults before serious faults occur, It can provide an important reference for motor maintenance, thereby reducing operation and maintenance costs. [0003] Although the existing motor rolling bearing fault diagnosis methods can monitor and warn the motor bearing status in real time, they usually use a fixed threshold to alarm the fault degree, so the rate of missed and false alarms is high; in addition, due to the traditional moto...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems existing in the prior art, the present invention provides a motor rolling bearing fault diagnosis method and its diagnosis system, which can well solve the problems of poor signal extraction effect and low fault diagnosis accuracy in traditional methods. By using threshold table, The adaptive demodulation technology and the comprehensive analysis method based on the vibration data of the three-way sensor can accurately extract, alarm and diagnose the early fault characteristics of the motor bearing

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