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Identifying crack parameters in slow rotating machinery using vibration measurements and hybrid neuro-particle swarm technique
(2010 , Conference Paper)
Low-cycle fatigue-initiated cracks may result in failure in slow-rotating equipments. Online monitoring to identify such fault/crack parameters, namely crack size and crack location, would be critical in providing an early ...
Solving the inverse problem of crack identification using fuzzy genetic algorithms
(2010 , Conference Paper)
Failure due to low-cycle fatigue initiated cracks in rotating equipment may result in catastrophic scenarios. It is, therefore, important to identify fault parameters, such as crack size and crack location, to avoid such ...