An expert system aided method of the blade-tip signal decomposition to the turbine blade vibration sources identification is presented. The method utilises a multi-valued diagnostic model based on the discrete wavelet transform. Proposed algorithm consists of four stages: signal decomposition into low- and high-frequency components (approximations and details), approximations and details parameterization, multi-valued encoding of parameters obtained at the second stage, an expert system use of the turbine blade vibration sources identification.
An expert system aided method of the blade vibration sources identification with blade-tip timing (BTT) signal decomposition
2018
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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