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NEW DEMODULATION TECHNOLOGY OF OPTIMIZING ENERGY OPERATOR AND APPLICATION TO GEAR FAULT DIAGNOSIS 被引量:2
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作者 Zhang Chaohui Zhu Ge +2 位作者 Peng Donglin Zhang Xinghong Wang Xianquan 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2005年第4期627-630,共4页
Although many methods have been applied to diagnose the gear thult currently, the sensitivity of them is not very good. In order to make the diagnosis methods have more excellent integrated ability in such aspects as ... Although many methods have been applied to diagnose the gear thult currently, the sensitivity of them is not very good. In order to make the diagnosis methods have more excellent integrated ability in such aspects as precision, sensitivity, reliability and compact algorithm, and so on, and enlightened by the energy operator separation algorithm (EOSA), a new demodulation method which is optimizing energy operator separation algorithm (OEOSA) is presented. In the algorithm, the non-linear differential operator is utilized to its differential equation: Choosing the unit impulse response length of filter and fixing the weighting coefficient for inportant points. The method has been applied in diagnosing tooth broden and fatiguing crack of gear faults successfully. It provides demodulation analysis of machine signal with a new approach. 展开更多
关键词 Energy operator Optimizing arithmetic Gear fault diagnosis
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