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《Journal of Vibration and Shock》 2011-09
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Advances in applications of hybrid intelligent fault diagnosis and prognosis technique

LEI Ya-guo,HE Zheng-jia (State Key Laboratory for Manufacturing Systems Engineering,Xi'an Jiaotong University,Xi'an 710049,China )  
In order to implement condition monitoring and fault diagnosis for large-scale,complex and key mechanical equipment effectively,hybrid intelligent fault diagnosis and prognosis technique by synthesizing and utilizing multiple artificial intelligent techniques and advanced signal processing methods,has been given high regard and studied widely by inland and overseas researchers.Based on investigating a good deal of relevant literatures,the extensive concept of the hybrid intelligent fault diagnosis and prognosis technique was introduced,the inland and overseas state-of-the art was reviewed,and the problems existing in present studies were also analyzed and pointed out.Finally,aiming at the state-of-the art and existing problems,the development trends of the hybrid intelligent fault diagnosis and prognosis technique were discussed.
【Fund】: 国家自然科学基金(51005172);; 中央高校基本科研业务费专项资金资助;; 人力资源和社会保障部留学人员科技活动项目择优资助经费
【CateGory Index】: TH165.3
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