Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Bearing fault diagnosis method adopting current signal analysis under rotating speed fluctuation quasi-stable working condition

A speed fluctuation and current signal technology, which is applied in the field of bearing fault diagnosis of permanent magnet synchronous motors, can solve the problem that the characteristic frequency of bearing faults is easily covered up, achieve high gain, suppress current harmonic components, and realize the effect of diagnosis

Active Publication Date: 2022-03-01
JIANGSU UNIV
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the actual production system, due to the influence of load or working conditions, there will be slight fluctuations in the motor speed, resulting in the characteristic frequency of bearing faults being easily covered up

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Bearing fault diagnosis method adopting current signal analysis under rotating speed fluctuation quasi-stable working condition
  • Bearing fault diagnosis method adopting current signal analysis under rotating speed fluctuation quasi-stable working condition
  • Bearing fault diagnosis method adopting current signal analysis under rotating speed fluctuation quasi-stable working condition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] In order to make the technical solution of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0054] figure 1 It is a schematic diagram of a block diagram of a permanent magnet synchronous motor bearing fault diagnosis system under quasi-stationary conditions of speed fluctuations using current signals, and the method includes the following steps:

[0055] Step 1, introducing a proportional-integral-quasi-resonant controller into the current loop and speed loop of the vector control system to suppress the current measurement error and the current harmonic component caused by the nonlinearity of the inverter under the condition of speed fluctuation;

[0056] Step 2: Process the inner ring, outer ring and rolling elements of rolling bearings by EDM to simulate bearing damage faults, and replace the faulty bearings on the fan side or load side of permanent magnet synchronous motors...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a bearing fault diagnosis method adopting current signal analysis under a rotating speed fluctuation quasi-stable working condition. The method comprises the following steps of: firstly, respectively connecting corresponding quasi-resonance compensators in a current loop and a rotating speed loop of a vector control system in parallel to suppress a current measurement error and a current harmonic component caused by nonlinearity of an inverter, and secondly, designing an optimal band-pass filter by utilizing a fast spectral kurtosis algorithm to extract a transient impact fault component of a current signal; and then, extracting a square envelope line of the filtered current signal by adopting Hilbert transform, and further solving a square envelope spectrum by using discrete Fourier transform to realize accurate extraction of the fault feature component of the permanent magnet synchronous bearing. According to the method, motor current signal characteristic analysis is adopted, and meanwhile, the high gain and wide bandwidth characteristics of the quasi-resonance controller are utilized, so that the fault diagnosis of the permanent magnet synchronous motor bearing under the rotating speed fluctuation quasi-stable working condition can be realized.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of motor bearings, in particular to a fault diagnosis method for permanent magnet synchronous motor bearings under quasi-stable working conditions of rotational speed fluctuations using current signal analysis. Background technique [0002] The permanent magnet synchronous motor has the advantages of simple structure, small size, high reliability, high power density and good control performance, and has been widely used in industrial and civil fields. Rolling bearings are key parts that support the rotation of permanent magnet synchronous motor rotors. There is relative motion between the inner and outer rings and they need to bear radial and axial loads. This long-term and complex environment makes them extremely vulnerable to damage. Therefore, motor bearing condition monitoring and fault diagnosis are of great significance to ensure the safe and healthy operation of the motor and reduce...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/045G06F17/11G06K9/00
CPCG01M13/045G06F17/11G06F2218/02
Inventor 宋向金赵文祥王照伟
Owner JIANGSU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products