Detection of faulty high speed wind turbine bearing using signal intensity estimator technique

Author:

Elforjani Mohamed1ORCID,Shanbr Suliman2,Bechhoefer Eric3

Affiliation:

1. University of Hertfordshire; Hatfield AL10 9AB UK

2. Cranfield University; Bedfordshire UK

3. Green Power Monitoring Systems; LLC Vermont USA

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Reference33 articles.

1. A brief review: acoustic emission method for tool wear monitoring during testing;Li;International Journal of Machine Tools & Manufacturing,2002

2. Identification of bearing defects by spectral analysis;Taylor;Mechanical Design,1980

3. The condition monitoring of rolling element bearing using vibration analysis;Mathew;Vibration and Acoustics, Stress, and Reliability in Design,1984

4. Detecting fatigue cracks in gears by amplitude and phase demodulation of the meshing vibration;McFadden;Journal of Vibration and Acoustic, ASME,1986

5. A new method of modelling gear faults;Randall;Journal of Mechanical Design, ASME,1982

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