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A method to online detect and diagnose brick interior different types of faults was proposed based on striking sound. Applied spectrum analysis to striking sound signals of bricks, picked out characteristic frequencies of every spectrum to form a data matrix, then applied fuzzy cluster analysis to get classification, next computed corresponding average similarity to every cluster, judged bricks fault...
The extract accuracy of signal is vital to signal process, directly affects result of all next doing. To sound signal Approximate Entropy was taken as acoustics character to analyze sound signal got by experiment, and judging it's start and stop point accurately, then extracting striking sound from original signal. It is proved by experiment result the aim of extracting striking signal is satisfied...
In this paper, a method to online detect and diagnose brick interior different types of faults is proposed based on striking sound. Apply spectrum analysis to striking sound signals of bricks normal and with different types of faults, pick out characteristic frequencies of every spectrum to form data matrixes, then apply principal component analysis to build a normal and several different faults principal...
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