This paper outlines the application of wavelet analysis and mathematical morphology in transient signal processing for power system faults based on the introduction of the fundamental theory, mainly including the transient signal detection of the transmission line fault, early detection and diagnosis of the fault of generator, transformer and motor.

The idea and design of transient signal processing in optical fiber voltage transformer are described.

Power system transient signal analysis based on AOK TFR;

Power spectral estimation of power system fault transient signal;

The Method of Detection on Transient Signal in Stationary Random Noise;

To distinguish fault transient signals from non-fault transient signals, on the basis of researching various transient signals and their characteristics the authors establish an EMTDC model to simulate 500kV transmission line.

Utilizing the time-frequency localization ability of wavelet analysis,on the basis of multi-scale expression of transient signals,the concept of wavelet energy entropy(WEE)for feature extraction is defined;integrating WEE with fuzzy logic,a new method to select faulty phase is formed.

Based on multi-scales expression and the definition of two post-analysis methods (energy statistic and wavelet entropy), the EMTDC simulated models were built about five transient signals including single phase grounding, switch operating, capacitor.

In order to solve the problem that multiplied signals cannot be separated by a linear filter,this paper is intended to investigate and examine the principle and approach for designing a generalized linear filter by developing a way of realizing homomorphic signal processing of multiplied signals on LabVIEW.