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题名: Sensor fault diagnosis method based on fractal dimension
作者: Qian PP(钱朋朋) ; Liu JG(刘金国) ; Zhang W(张伟) ; Li YM(李杨民)
作者部门: 空间自动化技术研究室
会议名称: 2013 25th Chinese Control and Decision Conference, CCDC 2013
会议日期: May 25-27, 2013
会议地点: Guiyang, China
会议录: 2013 25th Chinese Control and Decision Conference, CCDC 2013
会议录出版者: IEEE Computer Society
会议录出版地: Washington, United States
出版日期: 2013
页码: 2955-2960
收录类别: CPCI(ISTP) ; EI
ISBN号: 9781467355322
关键词: Automation ; Fractal dimension ; Spot welding
摘要: The development of automation technology has opened a new field - sensor fault diagnosis. Sensor is the source and foundation of information, once the sensor faults occur, which will lead to the degradation of automation system's performance, even disastrous consequences. There are various sensor fault diagnosis methods, while each method has its imperfection, so this paper has proposed to use fractal dimension for sensor fault diagnosis. Fractal theory is a powerful tool to deal with nature fragmented or complex phenomenon, which can describe the non-linear behaviour of the signal quantitatively. Firstly, this paper indicates the necessity and practical utility of sensor fault diagnosis and the development status of fractal theory. Then it describes the correlation dimension in detail which is the most suitable one to analyze sequenced dynamic signal, thereafter analyzing the type of the sensor fault. Finally, in order to verify the effectiveness of the method proposed, we set up an experimental platform. Five kinds of signals (no-fault signal and four kinds of fault signals) are gathered, whose correlation dimensions are calculated. The experimental results show that: various sensor faults can be diagnosed effectively by correlation dimension. At last, in order to verify the correctness of the correlation dimensions' results, the paper also gives the box counting dimension results, which further verifies the correctness of the results. © 2013 IEEE.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/12408
Appears in Collections:空间自动化技术研究室_会议论文

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