Affiliation:
1. Laboratory of Thermal Turbomachines, National Technical University of Athens, Athens, Greece
Abstract
The application of wavelet analysis to diagnosing faults in gas turbines is examined in the present paper. Applying the wavelet transform to time signals obtained from sensors placed on an engine gives information in correspondence to their Fourier transform. Diagnostic techniques based on Fourier analysis of signals can therefore be transposed to the wavelet analysis. In the paper the basic properties of wavelets, in relation to the nature of turbomachinery signals, are discussed. The possibilities for extracting diagnostic information by means of wavelets are examined, by studying the applicability to existing data from vibration, unsteady pressure, and acoustic measurements. Advantages offered, with respect to existing methods based on harmonic analysis, are discussed as well as particular requirements related to practical application.
Subject
Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Fuel Technology,Nuclear Energy and Engineering
Reference10 articles.
1. Cempell, C., 1991, Vibroacoustical Condition Monitoring, Ellis Horwood Limited, ISBN 0-13-931718-X.
2. Collacott, R. A., 1977, Mechanical Fault Diagnosis and Condition Monitoring, Chapman and Hall Ltd, ISBN 0-412-12930-2.
3. Loukis, E., Wetta, P., Mathioudakis, K., Papathanasiou, A., and Papailiou, K., 1991, “Combination of Different Unsteady Quantity measurements for Gas Turbine Blade Fault Diagnosis,” ASME paper 91-GT-201.
4. Mathioudakis
K.
, PapathanasiouA., LoukisE., and PapailiouK., 1991, “Fast Response Wall Pressure Measurement as a Means of Gas Turbine Blade Fault Identification,” ASME JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER, Vol. 113, pp. 269–275.
5. Meyer, Y., 1993, Wavelets: Algorithms & Applications, SIAM, Philadelphia.
Cited by
23 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献