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Rotating Machine Fault Detection based on Fuzzy Logic and Improved Adaptive Filter

Md Saiful Islam 1 and Uipil Chong 2
1. Chittagong University of Engineering and Technology, Chattogram, Bangladesh
2. University of Ulsan, Ulsan, South Korea

Abstract—The rotating machine contains the many rotating parts and one rotating part produces additional noise to the others. As a result, fault signatures of the rotating machine are turned out to be quite weak. This paper proposed an effective method to detect the fault signatures of rotating machines based on improved adaptive filter, fuzzy logic and spectrum analysis. An improved adaptive filter is used to remove the noises from the faulty signal. Since the performance of the adaptive filter depends on the step size, a new technique is proposed to select the step size effectively based on entropy and fuzzy logic. To determine the fault signature of rotating machines of vibration signals effectively, demodulation is often required. Both squared envelope and Hilbert based envelope analysis are performed to identify the fault signature accurately. The effectiveness of the proposed adaptive filter is shown by simulation. Performances of the improved adaptive are also verified by real experimental data. Experimental results show that the proposed method can effectively detect the fault signatures of the rotating machines.

Index Terms—improved adaptive filter, entropy, Hilbert transform, squared envelope, fuzzy logic, SNR

Cite: Md Saiful Islam and Uipil Chong, "Rotating Machine Fault Detection based on Fuzzy Logic and Improved Adaptive Filter," International Journal of Mechanical Engineering and Robotics Research, Vol. 10, No. 2, pp. 79-86, February 2021. DOI: 10.18178/ijmerr.10.2.79-86

​Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.