Acoustic based condition monitoring of a diesel engine using self-organising map networks |
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| Authors: | Weidong Li Robert M ParkinJoanne Coy Fengshou Gu |
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| Institution: | a Department of Mechanical Engineering, Queen's University, Kingston, ON, Canada K7L 3N6b Department of Mechanical Engineering, Loughborough University, Loughborough LE11 3TU, UKc Consignia Research Group, Swindon SN3 4RD, UKd Manchester School of Engineering, University of Manchester, Manchester M13 9PL, UK |
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| Abstract: | In this paper, the acoustic based condition monitoring of a diesel engine is investigated. Firstly, an experimental test rig is set up to simulate engine faults. Acoustic signals are measured from the test diesel engine under different conditions. To analyse the measured acoustic signals, a two-dimensional topological seif-organising map (SOM) network is employed in this paper to perform feature extraction. The extracted features are processed by both statistical and spectral methods. The results show that the extracted features are able to show the differences between the engine's normal and faulty conditions. |
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