Dissertation > Excellent graduate degree dissertation topics show

Study on Fault Diagnosis Method for High Speed Traction Motor Bearings Based on Wavelet Analysis

Author: WuYong
Tutor: DengXiang
School: Beijing Jiaotong University
Course: Mechanical and Electronic Engineering
Keywords: Bearing test Faults diagnosis Wavelet analysis EMD
CLC: TH165.3
Type: Master's thesis
Year: 2011
Downloads: 325
Quote: 4
Read: Download Dissertation

Abstract


With the appearance of high speed trains in recent years, the working conditions of high speed traction motor is more strictly inspected.The situation monitoring and fault diagnosis technology of the mechanical equipment overseas have come to the stage of application. Howerver, in our country, it needs to develop rapidly not only in fault diagnosis theory and methods but also in the engineering practice and development of monitoring diagnosis production, although the fault diagnosis has developed more than 20 years. Wavelet and Hilbert transform, Wavelet packet transform, EMD decomposition method used for the diagnosis of high speed tracking motor bearings in time domain and frequency domain are employed in the dissertation. The software platform is developed by using LabVIEW and Matlab.(1) The method of diagnosis of high speed traction motor bearings via Wavelet and Hilbert transform was studied.Firstly, Daubechies wavelet was applied to decompose the vibration signal of the fault bearings, and then the characteristic fault frequency imformation was extracted to determine the type of axial linear crack faults effectively.(2) Wavelet packet was applied in the fault diagnosis of high speed traction motor rolling bearings.The optimum plot method according to energy after wavelet packet decomposition was proposed. Threshold of wavelet packet is the sum of average and variance value, which is used to signal de-noise and reconstruct. The wavelet package was selected to do the Fast Fourier Transform and then characteristic frequency imformation was extracted to determine the type of axial linear crack faults simply.(3) Combination of Wavelet packet and EMD decomposition, the new method was explored and researched.Wavelet packet and EMD decomposition were applied to fault diagnosis of high speed traction motor bearings. Firstly, Wavelet packet was used to de-noise, EMD was used to decompose and then the IMFs with biggest correlation coefficients were selected to decomposition again with Wavelet packet and the optimum packet was selected for FFT. At last, the type of axial linear crack fault in frequency domain was determined. Although this method can be used to diagnose the fault character, too much time cost to the balance decomposition, so difficult to be combined to software. (4) Test platform construction and experiment research.Experiment verification has done via wavelet analysis after data acquisition in the test platform. Wavelet and Hilbert transform, Wavelet packet transform, EMD decomposition method were used to do the diagnosis application of fault bearings.And then the most effective diagnosis method—Wavelet packet method was founded.(5) The software platform is developed by using LabVIEW and Matlab.Taking the excellence of Matlab data process and applying yulewalk multi-band pass filter to get the characteristic frequency. And get the software of fault diagnosis. Finally,.the type of fault can be diagnosed.

Related Dissertations

  1. Based on Computer Vision Fabric defect detection and classification of,TP274
  2. The Research of Phishing Detection Technology Based on Nearest Neighbor and Similarity Measurement,TP393.08
  3. Based on wavelet and neural network theory of power system load forecasting,TM715
  4. EMD-based medical image fusion algorithm,TP391.41
  5. A Study of GPS Dynamic Deformation Monitoring Data Processing Based on EMD and ICA,P228.4
  6. EMU bogie bearing reliability analysis and fault diagnosis technology research,U269
  7. Sound signal analysis method overloaded freight train rolling bearing fault diagnosis,TH165.3
  8. Design and implementation of energy management systems based on EMD-BP neural network prediction model,TP315
  9. Sparse representation of image-based steganographic algorithm,TP309
  10. Research on Combination Model for Short-term Load Forecasting Based on EMD and GP Regression Theory,TM715
  11. Research and Implemente of Partial Discharge Location System,TM41
  12. Research on the Analysis for Low Frequency Oscillation in Power Systems,TM712
  13. ECG Denoising and QRS detection algorithm,TH772.2
  14. Research of Method on Faults Diagnosis of Axial Fan in the Environment Control System of Metro,TH432.1
  15. Study on the Fault Diagnosis of Asynchronous Induction Motor Base on the Wavelet Analysis,TH165.3
  16. Study on Fault Feature Extraction of Gearbox Based on EMD,TH165.3
  17. Fault Diagnosing of Rotating Machine Based on Vibration Signal Processing,TH165.3
  18. Research on Pavement Distress Detection and Classification Using Wavelet Analysis,TP391.41
  19. Research of De-noise and Pattern-recognition in Partial Discharge Detection System,TP391.41
  20. Research on the Algorithm of Speeth Pitch Detection,TN912.3
  21. Inhibition of the end effect of EMD method,TN911.7

CLC: > Industrial Technology > Machinery and Instrument Industry > Machinery Manufacturing Technology > Flexible manufacturing systems and flexible manufacturing cell > Fault diagnosis and maintenance
© 2012 www.DissertationTopic.Net  Mobile