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Shaft Crack Damage Fault Detection Using Induction Machine Electrical Signature Analysis
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Cracks in shafts have long been identified as factor limiting the safe and reliable operation of gearbox, they sometimes result in disastrous failure of equipment (tooth,.) and, more often, in costly process, upsets, repairs and replacement of equipment. This paper represents the utilization of dynamic model of a simple stage gearbox (with and without defects) and the Hilbert Transform Demodulation in the early detection and condition monitoring of shaft crack fault. Then, the vibration signal is analyzed using the proposed approach. The used approach is compatible for such diagnosis and gives valuable information about crack effects defect presence. The obtained results of early detection of shaft crack fault using the instantaneous phase are represented in this paper.
Title: Shaft Crack Damage Fault Detection Using Induction Machine Electrical Signature Analysis
Description:
Cracks in shafts have long been identified as factor limiting the safe and reliable operation of gearbox, they sometimes result in disastrous failure of equipment (tooth,.
) and, more often, in costly process, upsets, repairs and replacement of equipment.
This paper represents the utilization of dynamic model of a simple stage gearbox (with and without defects) and the Hilbert Transform Demodulation in the early detection and condition monitoring of shaft crack fault.
Then, the vibration signal is analyzed using the proposed approach.
The used approach is compatible for such diagnosis and gives valuable information about crack effects defect presence.
The obtained results of early detection of shaft crack fault using the instantaneous phase are represented in this paper.
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