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Fault Detection of Gearbox from Inverter Signals Using Advanced Signal Processing Techniques

Pislaru, Crinela, Lane, Mark, Ball, Andrew and Gu, Fengshou (2012) Fault Detection of Gearbox from Inverter Signals Using Advanced Signal Processing Techniques. Journal of Physics: Conference Series, 364. 012080. ISSN 1742-6596

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The gear faults are time-localized transient events so time-frequency analysis techniques (such as the Short-Time Fourier Transform, Wavelet Transform, motor current signature analysis) are widely used to deal with non-stationary and nonlinear signals. Newly developed signal processing techniques (such as empirical mode decomposition and Teager Kaiser Energy Operator) enabled the recognition of the vibration modes that coexist in the system, and to have a better understanding of the nature of the fault information contained in the vibration signal. However these methods require a lot of computational power so this paper presents a novel approach of gearbox fault detection using the inverter signals to monitor the load, rather than the motor current. The proposed technique could be used for continuous monitoring as well as on-line damage detection systems for gearbox maintenance.

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Item Type: Article
Uncontrolled Keywords: condition monitoring; gearbox fault detection; signal processing; electrical drives; inverters
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
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References: [1] Cohen L 1995 Time-Frequency Analysis, (NJ: Prentice-Hall). [2] Staszewski W J , Robertson AC 2007 Time-frequency and time-scale analyses for structural health monitoring. Phil. Trans. R. Soc. A 15 February 2007 vol. 365 no. 1851 449-477 [3] Chinmaya K, Mohanty AR 2006 Monitoring Gear Vibrations Through Motor Current Signature Analysis and Wavelet Transform. Mech Sys and Signal Processing 20 158 – 187. [4] Treetrong J 2009 The Use of Parameter Identification Methods for the Condition Monitoring of Electric Motor Drives, PhD Thesis, University of Manchester. [5] Chinmaya K, Mohanty AR 2006 Vibration and Current Transient Monitoring for Gearbox Fault Detection Using Multiresolution Fourier Transform. J. Sound and Vibration 311 109-122 [6] Gunal S, Ece DG, Gerek ON 2009 Induction Motor Condition Monitoring Using Notch Filtered Motor Current, Mechanical Sys and Signal Processing 23 2658-2670. [7] Gu F, Shao Y, Huc N, Naid A, Ball AD 2011 Electrical Motor Current Signal Analysis Using A Modified Bi Spectrum For Fault Diagnosis Of Downstream Mechanical Equipment. Mech Sys and Signal Processing 25 360 – 372. [8] Benbouzid MEH, Vieira M, Theys C 1999 Induction Motors’ Faults Detection and Localization Using Stator Current Advanced Signal Processing Techniques IEEE Trans Power Electronics 14 14-22 [9] Li H, Zheng H, Tang L 2010 Gear Fault Detection Based on Teager-Huang Transform Int. J Rotating Machinery 2010 [online] doi:10.1155/2010/502064 [accessed] 20 Jan 2012 [10] Lane M 2011 Using AC Motor as a Transducer for Detecting Electrical and Electromechanical Faults, MRes Thesis, University of Huddersfield.
Depositing User: Crinela Pislaru
Date Deposited: 14 Jun 2012 15:21
Last Modified: 28 Aug 2021 20:42


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