Earticle

초록

영어

Fast Fourier Transform plays a very important role in signal analysis, but the Fast Fourier Transform traditional mutation fault fan are unable to analyze the trend of fault features, the beginning and the end, and these signals often contain important information, the fault at the same time, the local signal analysis Fast Fourier Transform of fault are also incapable of action. The method of multi scale wavelet theories and Fast Fourier Transform are combined, make up for the deficiency of the Fast Fourier Transform, and the method is applied to the fault diagnosis of fan, and achieved good results, experiments show that, this method can effectively improve the accuracy of fault diagnosis. Wavelet packet analysis due to the high, the low frequency part of the signal local refinement and retention time domain features of the original signal, which has good time-frequency localization characteristics, it can effectively identify the non-stationary signal, to achieve the purpose of fault diagnosis, get more and more extensive application in the field of fault diagnosis. Signal generating fan running most of the non-stationary signal, the wavelet packet analysis technology is used to diagnose the fault has practical significance.

목차

Abstract
 1. Introduction
 2. FFT Transform and Wavelet Transform
 3. Wavelet Decomposition and Wavelet Packet Decomposition Principle
 4. Multi Scale Wavelet Analysis
 5. Wavelet Frequency Analysis Technique
 6. Conclusion
 References

키워드

저자

• Wang Wei [ School of Information and Electrical Engineering, CUMT, Xuzhou 221008, China ]
• Ma Xiaoping [ School of Information and Electrical Engineering, CUMT, Xuzhou 221008, China ]
• Wang Qianjin [ School of Information and Electrical Engineering, CUMT, Xuzhou 221008, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605