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- W2355871278 abstract "In order to accurately assess the health condition of stator insulations, the basic theory of guided- wave and probability- imaging method was employed for stator insulation damage detection of large generators. The excitation,propagation and acquisition of the guided wave for the stator insulation damage detection were simulated numerically. Finite element models of four typical insulation damages, i.e. void, delamination, longitudinal and transverse cracks were established. Hilbert Transform(HT) was used to extract the time of flight(To F) of damage scattered wave as the damage feature for damage location detection. Then, the probability-imaging method was used to detect the damage situation of the stator insulation. Numerical simulation results reveal that the To F is an effective feature that can represent the damage location, the A0 mode Lamb wave is more sensitive to the insulation damage, and the probability- imaging method can be used to detect and locate the damage in the stator insulation immediately and accurately. This work provides effective information for further study of the stator insulation condition assessment based on the guided wave." @default.
- W2355871278 created "2016-06-24" @default.
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- W2355871278 date "2015-01-01" @default.
- W2355871278 modified "2023-09-27" @default.
- W2355871278 title "Damage Detection of Large Generator Stator Insulation Using Guided Wave-based Imaging Method" @default.
- W2355871278 hasPublicationYear "2015" @default.
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