Rotor system typical fault diagnosis method based on current signal

A technology of current signals and typical faults, which is applied in the field of typical fault diagnosis of rotor systems based on current signals, can solve problems such as the influence of fault diagnosis results, signal annihilation, and many signal noise components, so as to achieve convenient implementation, overcome strong power frequency and low cost low effect

Inactive Publication Date: 2017-08-25
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0003] Vibration detection methods are relatively mature in theory and widely used. However, in the process of signal acquisition, vibration signals are easily affected by the harsh environment of the site, resulting in excessive noise components in the signal, and useful signals are obliterated. The result has a greater impact

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  • Rotor system typical fault diagnosis method based on current signal
  • Rotor system typical fault diagnosis method based on current signal
  • Rotor system typical fault diagnosis method based on current signal

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Embodiment Construction

[0019] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings: the present embodiment is implemented on the premise of the technical solution of the present invention, and provides a detailed implementation manner and a specific operation process.

[0020] like figure 1 As shown, this embodiment includes the following steps:

[0021] 1. Collect the motor current signals under different faults of the rotor system. When the rotor system fails, it will cause torque fluctuations on the rotating shaft, and the torque fluctuations are fed back to the motor to cause changes in the motor current.

[0022] 2. In order to avoid the influence of the current change in the motor starting stage, the current signal when the motor rotates at a constant speed is collected as the time domain signal x(t) to be processed; Time interval, n represents the number of sampling points.

[0023] 3. Perform denoising preprocessing on the ...

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Abstract

The invention provides a rotor system typical fault diagnosis method based on motor current, belonging to the field of rotating machinery equipment. According to the method, firstly a current signal of a rotor system driving motor is collected, and an improved wavelet threshold denoising method is used for current signal denoising pretreatment on the current signal; then the current signal is subjected to EEMD decomposition, an meaningless IMF component is removed, the amplitude domain and time-frequency domain feature of each IMF component are extracted to form a feature vector, then a principal component analysis method is used to carry out dimension reduction on the feature vector, and a new low dimensional feature vector is obtained; and finally a support vector machine of particle swarm optimization is used to establish a nonlinear mapping relationship between the feature vector and different fault types, and the fault diagnosis is realized. According to the method, through the fault diagnosis of the motor current signal, the signal collection is convenient, the external interference resistance ability is high, and the method is easy to implement. The invention can be applied to the diagnosis of faults of mass unbalance, deflection angle misalignment, parallel misalignment and the like of a rotor system.

Description

technical field [0001] The invention belongs to the field of rotating machinery equipment, and in particular relates to a typical fault diagnosis method of a rotor system based on a current signal. Background technique [0002] Rotating machinery is the most widely used mechanical equipment in production enterprises, and the rotor system, as the core component of rotating machinery, will cause huge economic losses and even casualties in the event of failure. At present, the method of fault diagnosis of rotor system is mainly based on vibration analysis. The vibration signal during the operation of the rotor system is collected, and the corresponding signal processing technology is combined to judge whether there is a fault in the rotor system. For example, the patent with the publication number CN101294845A discloses a "multi-frequency weak signal detection method for the early failure of the rotor", and the patent with the publication number CN104697767A discloses "a method...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/00
CPCG01M13/00
Inventor 庞新宇张天赐李峰杨兆建
Owner TAIYUAN UNIV OF TECH
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