APPLICATION OF A CONTINUOUS WAVELET TRANSFORMS AND ANFIS TO FAULT DIAGNOSIS OF A GEARBOX OF TRACTOR

Authors

  • Mostafa Bahrami Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agriculture, Razi University, Kermanshah, Iran
  • Hossein Javadikia
  • Ebrahim Ebrahimi Department of Mechanical Engineering, Faculty of Engineering, Kermanshah Branch Islamic Azad University, Kermanshah, Iran

Abstract

This study proposes a technique based on continuous wavelet transform added by adaptive-neural-fuzzy inference system (ANFIS) for fault diagnosis of gearbox of MF285 tractor. Varying fault can cause changes in a measured gearbox vibration signal. A gear motion vibration signal in speed of 1500 r/min is analyzed as source data. Energy of coefficients wavelet is proposed to evaluate tractor gear fault by ANFIS. We found that this technique can correctly indicate early gear fault.

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Published

2017-05-11

How to Cite

APPLICATION OF A CONTINUOUS WAVELET TRANSFORMS AND ANFIS TO FAULT DIAGNOSIS OF A GEARBOX OF TRACTOR. (2017). Journal of Mechanical Engineering, 46(1), 9-15. https://doi.org/10.3329/jme.v46i1.32517

Issue

Vol. 46 No. 1 (2016)

Section

Articles

How to Cite

APPLICATION OF A CONTINUOUS WAVELET TRANSFORMS AND ANFIS TO FAULT DIAGNOSIS OF A GEARBOX OF TRACTOR. (2017). Journal of Mechanical Engineering, 46(1), 9-15. https://doi.org/10.3329/jme.v46i1.32517