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This paper proposes a new method called “sequential fuzzy neural network” to diagnose fault of gear equipment automatically and precisely. Symptom parameters in time domain, by which fault of the gear equipment can be detected and distinguished, are selected according to its values calculated from the signals measured in each state of gear equipment. The probability density functions are translated...
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