Bio-inspired computational techniques based on advanced condition monitoring |
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| Authors: | Su Liangcheng He Shan Li Xiaoli Li Xinglin |
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| Affiliation: | Su Liangcheng1,2,He Shan3,Li Xiaoli1,Li Xinglin4 (1. Institute of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China,2. Hangzhou Bearing Test & Research Center Co.,Ltd.,Hangzhou 310022,3. School of Computer Science,the University of Birmingham Edgbaston Birmingham,B15 2TT UK,4. Postdoctoral Research Workstation of Hangzhou Bearing Test and Research Centre with Assistance of UNDP/UNIDO,China) |
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| Abstract: | The application of bio-inspired computational techniques to the field of condition monitoring is addressed. First, the bio-inspired computational techniques are briefly addressed; the advantages and disadvantages of these computational methods are made clear. Then, the roles of condition monitoring in the predictive maintenance and failures prediction and the development trends of condition monitoring are discussed. Finally, a case study on the condition monitoring of grinding machine is described, which sh... |
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| Keywords: | condition monitoring computational intelligence neural networks evolutionary computation fuzzy logic |
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