Study on vibrations diagnostics of gas turbine engines with wavelets

In this paper we present a research of method of vibration signals processing intended to determine the state of gas turbine engines. To solve this problem continuous wavelet transform was chosen as a tool that can handle nonstationary signals. Efficiency of signal components separation representing characteristic frequencies of defects was researched by means of Gaussian derivative wavelets and Morlet wavelet. These wavelets were compared in order to choose the proper wavelet for construction of automated diagnostic systems for gas turbine engines.