An integrated intelligence system for wear debris analysis |
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| Affiliation: | 1. School of Metallurgy and Materials Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong, NSW 2522, Australia;1. Key Laboratory of Marine Power Engineering & Technology (Ministry of Transport), Wuhan University of Technology, Wuhan 430063, PR China;2. Reliability Engineering Institute, National Engineering Research Center for Water Transportation Safety, Wuhan 430063, PR China;3. Yichang Marine Diesel Engine Co. Ltd., Yichang 443099, PR China;4. School of Marine Engineering, Jimei University, Xiamen 361021, PR China;1. Reliability Engineering Institute, National Engineering Research Center for Water Transportation Safety, Wuhan University of Technology, Wuhan, 430063, PR China;2. School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, 430063, PR China;3. School of Marine Engineering, Jimei University, Xiamen, 361021, PR China;1. Department of Machine Construction and Materials, Faculty of Marine Engineering, Maritime University of Szczecin, 2 Willowa Str, 71-650 Szczecin, Poland;2. Department of Marine Power Plants, Faculty of Marine Engineering, Maritime University of Szczecin, 2 Willowa Str, 71-650 Szczecin, Poland |
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| Abstract: | Wear debris generated from two moving surfaces inside a machine is a direct wear product of operating machinery. The study of the debris can reveal wear mechanisms, wear modes and wear phases undergoing in the machine. Hence, wear debris analysis can be a very useful means to assess the condition of the machine. However, the current techniques for individual particle analysis are usually time-consuming and costly due to the requirement of analyst’s expertise to perform particle inspection, morphology characterisation and data interpretation. The limitation has obstructed the wide application of this method. Therefore, it is necessary to develop effective, reliable and cost-efficient techniques to perform wear debris analysis for industrial application. This paper presents a fully computerised package for wear debris analysis. The package includes three major systems corresponding to a three-dimensional particle analysis system, an automatic particle identification system and an expert system, communicating with each other through user-friendly interfaces. The successful development of such a system has demonstrated the possibility to achieve a fully computerised analysis system for routine and in-depth wear debris study for machine condition monitoring and fault diagnosis. |
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