Condition monitoring of fatigue cracks in machinery blades
Numerical examples are given based on the processing of signals generated using a nonlinear model of a blade. The signals generated are the resonant vibroacoustical oscillations of cracked and uncracked blades under narrowband excitation. The numerical examples show that the crack detection is more effective when using the new diagnostic features than when using the power spectral density feature. The presented experimental results are matched with the numerical results.
The proposed approach offers an effectiveness improvement over the traditional approach based on power spectral density.
Document Type: Research Article
Affiliations: 1: Department of Process and Systems Engineering, Applied Mathematics and Computing Group, School of Engineering, Cranfield University, Cranfield, Bedfordshire MK43 0AL 2: Rolls-Royce plc, UK 3: Cranfield University
Publication date: 2003-08-01
- Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.
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