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This paper introduces a new idea of bearing fault diagnosis, which is to use the Multipoint Optimal Minimum Entropy Deconvolution Adjusted (MOMEDA) Technique to filter the vibration signal, getting the output signal and directly to do spectral analysis, then to observe the fault characteristics for fault diagnosis. MOMEDA technique is an improved MED algorithm proposed by McDonald in 2016, which can...
The general methods of health indicators extraction for planetary gearbox are based on the vibration signals which acquired by sensors equipped on the casing of the gearbox and sampled in the frame of Shannon sampling theory. Therefore, it is necessary to sample and save abundant original vibration data in the process of uninterrupted monitoring, and this will generate masses of original data which...
Weak signal detection based on stochastic resonance (SR) can hardly succeed when noise intensity exceeds the optimal value of SR. This paper explores a novel parallel bistable SR array mechanism by decomposed multi-scale noises from input signal. A smoother output with lower noise is obtained from the combination of colored noise SR effect and parallel bistable SR array. The influence of noise intensity...
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