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The levitation system is a crucial component of a maglev train as it is responsible for levitating the train body above the track. Real‐time diagnosis of faults in the levitation system is essential for commercial operational purposes. Despite extensive research on the mechanism of the levitation system, it is challenging to obtain an accurate system model due to unavoidable noise and disturbances...
On account of the fault diagnosis problems of the levitation sensor on maglev train, this paper introduces a non-linear second-order discrete tracking differentiator to estimate the output value of the sensor, and judges whether the sensor has the fault by comparing the estimated value and the measured value. On the basis of the simulation analysis, fault diagnosis experiment of the current sensor...
A new style tracking-differentiator based on border characteristics is applied in the Fault Diagnosis and Active Fault Tolerance problem for accelerator in maglev system. The integral of accelerator signal is compared with the differential of gap signal, and the difference is used to obtain the decision variable and threshold according to Bayes's decision theory. When fault occurs, integral of accelerator...
A method of acoustic emission defect inspection based on wavelet packet analysis and BPNN (BP neural network)is introduced. The method of wavelet packet based on sections and energy-moment feature is used to replace the traditional “wavelet packet-energy” to pick-up characteristics of AE signals. The efficiency of this method is validated by experiment of metal vessel defect diagnosis. The result...
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