Weak transient impulse signal extraction based on blind deconvolution and cluster in acoustical machine diagnosis
Сhen Yi · 2009
The time-domain blind deconvolution algorithm based on contrast function and deflation has recently become the focus of intensive research work due to its potential in many applications.However,it has a disadvantage that the separation results are easily influenced by the length of deconvolution filters when the signals come from machine sound.In this paper,an improved blind deconvolution algorithm based on hierarchical cluster is proposed.Hierarchical cluster is applied to analysis the results which are obtained by using a group of deconvolution filters of various lengths.Therefore,the improved algorithm can be employed to receive more reliable and better estimated signals.Computer simulation and acoustical transient impulse signal extraction of faulty bearing in a realworld situation are used to verify the validity of the proposed algorithm.