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Open AccessArticle

Intelligent Ball Bearing Fault Diagnosis Using Fractional Lorenz Chaos Extension Detection

1
College of Information Engineering, Qujing Normal University, Qujing 655011, China
2
Department of Mechanical Engineering, National Cheng Kung University, 1 University Road, Tainan City 701, Taiwan
3
Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(9), 3069; https://doi.org/10.3390/s18093069
Received: 14 August 2018 / Revised: 6 September 2018 / Accepted: 10 September 2018 / Published: 12 September 2018
(This article belongs to the Section Physical Sensors)
In this study we used a non-autonomous Chua’s circuit, and the fractional Lorenz chaos system. This was combined with the Extension theory detection method to analyze the voltage signals. The bearing vibration signals, measured using an acceleration sensor, were introduced into the master and slave systems through a Chua’s circuit. In a chaotic system, minor differences can cause significant changes that generate dynamic errors. The matter-element model extension can be used to determine the bearing condition. Extension theory can be used to establish classical and sectional domains using the dynamic errors of the fault conditions. The results obtained were compared with those from discrete Fourier transform analysis, wavelet analysis and an integer order chaos system. The diagnostic rate of the fractional-order master and slave chaotic system could reach 100% if the fractional-order parameter adjustment was used. This study presents a very efficient and inexpensive method for monitoring the state of ball bearings. View Full-Text
Keywords: ball bearing; fractional Lorenz chaos system; Extension theory; Chua’s Circuit fault diagnosis ball bearing; fractional Lorenz chaos system; Extension theory; Chua’s Circuit fault diagnosis
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MDPI and ACS Style

Tian, A.-H.; Fu, C.-B.; Li, Y.-C.; Yau, H.-T. Intelligent Ball Bearing Fault Diagnosis Using Fractional Lorenz Chaos Extension Detection. Sensors 2018, 18, 3069.

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