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Online diagnosis of brick interior fault based on dynamic fuzzy cluster analysis

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3 Author(s)
Zhihua Qiao ; Autom. Coll., Shenyang Aerosp. Univ., Shenyang, China ; Ming Yang ; Zijuan Wang

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 type by comparing them when online detection. Experiment results show that the method is effective.

Published in:

Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On  (Volume:3 )

Date of Conference:

12-13 June 2010

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