STUDY ON APPLICATION OF ADAPTIVE GENERALIZED MORPHOLOGICAL FILTER IN PROCESSING ON-LINE MONITORING TANδ DATA
Heming Li · Proceedings of the CSEE · 2004
Based on basic morphological transforms and their combination modes, a generalized morphological filter cascaded by different structure elements is proposed. The filter is applied in processing on-line monitoring tanδ to guarantee the accuracy of further fault diagnosis. Due to statistic bias of morphological filter, the output of open-closing filter is relatively small, but that of clos-opening filter is contrary. Therefore, adaption approach is employed to modify weights to realize the combined morphological filter. Results of simulation study and field data processing show the generalized morphological filter can suppress different kinds of white noise and pulse noise, restore the general regularity of the data effectively, and adaptive combined morphological filter has better performance compared with single morphological filter and other filtering approaches.