Adapted Wavelet Transform for Twisted Blade Diagnosis in Multi Stage Rotor

Author:

Abdelrhman Ahmed M.,Leong M. Salman,Ali Y.H.,Ahmad Iftikhar,Georgantopoulou Christina G.,Ali Salah M.

Abstract

This paper studies the diagnosis of twisted blade in a multi stages rotor system using adapted wavelet transform and casing vibration. The common detection method (FFT) is effective only if sever blade faults occurred while the minor faults usually remain undetected. Wavelet analysis as alternative technique is still unable to fulfill the fault detection and diagnosis accurately due to its inadequate time-frequency resolution. In this paper, wavelet is adapted and its time-frequency is improved. Experimental study was undertaken to simulate multi stages rotor system. Results showed that the adapted wavelet analysis is effective in twisted blade diagnosis compared to the conventional one.

Publisher

EDP Sciences

Subject

General Medicine

Reference17 articles.

1. Abdelrhman A. M., Hee L. M., Leong M. S., and Al-Obaidi S., “Condition Monitoring of Blade in Turbomachinery: A Review,” Adv. Mech. Eng, vol. 2014, p. 10, 2014.

2. Hui K. H., Hee L. M., Leong M. S., and Abdelrhman A. M., “Time-Frequency Signal Analysis in Machinery Fault Diagnosis,” in Adv Mat Res, 2014, pp. 41–45.

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