| Bio-inspired Computational Techniques Based Advanced Condition Monitoring |
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| 作者姓名： | Su Liangcheng He Shan Li Xiaoli Li Xinglin |
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| 作者单位： | （1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;2. Hangzhou Bearing Test & Research Center Co., Ltd., Hangzhou 310022, China;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, Hangzhou 310022, China) |
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| 基金项目： | This work was supported by the National Natural Science Foundation of China (No.61025019;No.90820016);Program for New Century Excellent Talents in University (No.NECT070735); Natural Science Foundation of Hebei (No.F2009001638). |
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| 摘 要： | 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 shows the application of bio-inspired computational technique to a practical condition monitoring system.
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| 关 键 词： | condition monitoring computational intelligence neural networks evolutionary computation fuzzy logic |
Bio inspired computational techniques based on advanced condition monitoring |
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| Su Liangcheng,He Shan,Li Xiaoli,Li Xinglin.Bio-inspired Computational Techniques Based Advanced Condition Monitoring[J].Engineering Sciences,2011,9(1):90-96. |
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| Authors: | Su Liangcheng He Shan Li Xiaoli Li Xinglin |
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| Institution: | Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;2. Hangzhou Bearing Test & Research Center Co., Ltd., Hangzhou 310022, China;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, Hangzhou 310022, 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 shows the application of bio inspired computational technique to a practical condition monitoring system. |
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| Keywords: | condition monitoring computational intelligence neural networks evolutionary computation fuzzy logic |
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