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>Researcher at School of Automobile Releases New Data on Security and Communication Networks (Study on Fault Diagnosis Method and Application of Automobile Power Supply Based on Fault Tree- Bayesian Network)
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Researcher at School of Automobile Releases New Data on Security and Communication Networks (Study on Fault Diagnosis Method and Application of Automobile Power Supply Based on Fault Tree- Bayesian Network)
By a News Reporter-Staff News Editor at Network Daily News – Research findings on security and communication networks are discussed in a new report. According to news originating from the School of Automobile by NewsRx correspondents, research stated, “Among various fault types of automotive power faults, power supply UB + faults have the most complex relationship between fault signs and fault points and are difficult to diagnose.”
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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)