<正>Although many methods have been applied to diagnose the gear fault 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.
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机译:Application of instantaneous phase detection technology based on laser displacement sensor in fault diagnosis of spur gear of rotation vector reducer
机译:基于优化遗传神经网络的井下运输机械滚动轴承故障诊断(The Application of Optimizing the GENETIC NEURAL NETWORK to the Fault Diagnosis of Rolling Bearings of Transporting Machinery Underground)