APPLICATION OF FAST FOURIER AND WAVELET TRANSFORMS TOWARDS ACTUATOR LEAKAGE DIAGNOSIS: A COMPARATIVE STUDY

Authors

  • Amin Yazdanpanah Goharrizi Presently Postdoctoral Fellow, Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada
  • Nariman Sepehri Fluid Power and Telerobotics Research Laboratory, Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB, Canada R3T-5N5

Keywords:

fault detection, hydraulic actuators, internal leakage, fast Fourier transform, wavelet transform

Abstract

Applications of fast Fourier and wavelet transforms to detect internal leakage in hydraulic actuators are experimentally compared. By analyzing the dynamics of the actuator, it is shown that the internal leakage increases the damping characteristic of the system and decreases the Bode magnitude of pressure signal over valve displacement, around the hydraulic natural frequency. This is further confirmed, by decomposing the original pressure signal, using either transform methods, and identifying the frequency component sensitive to internal leakage. The root mean square of the processed pressure signal is used and a comparison of the two transforms is made to assess their ability to detect internal leakage fault using only pressure signal obtained from either open-loop or closed-loop systems. The results indicate that both approaches can detect internal leakage without a need to explicitly include the model of the actuator and/or the leakage. It is further shown that the wavelet transform method is found to be more sensitive to the internal leakage than the approach based on fast Fourier transform.

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Author Biographies

Amin Yazdanpanah Goharrizi, Presently Postdoctoral Fellow, Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada

Amin Yazdanpanah Goharrizi received his B.S. degree from Amirkabir University of Technology, Tehran, Iran, in 2003, and his M.Sc. degree from Khajeh Nasir University, Tehran, Iran, in 2005 and his Ph.D. degree from the University of Manitoba, Canada. Currently, he is a jointly appointed Postdoctoral Fellow at the University of Toronto and Sunnybrook Health Sciences Centre. His current research interests include fault detection, signal processing and control systems.

Nariman Sepehri, Fluid Power and Telerobotics Research Laboratory, Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB, Canada R3T-5N5

Nariman Sepehri is a professor with the Department of Mechanical and Manufacturing Engineering, at the University of Manitoba, Canada. His research and development activities are primarily centered in all fluid power related aspects of systems, diagnosis and control.

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Published

2018-12-30

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