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This paper introduces a speed-sensorless method for detecting rotor asymmetries in wound rotor induction machine (WRIM) working as generator in wind turbines. The method is based on time-frequency analysis of rotors currents and a new transformation, which make it suitable for every working condition of the machine: steady state, transient regime and non-stationary conditions. Besides, the results...
Diagnosis of faults in induction motors has been accomplished traditionally following a two stage procedure: first, the selected diagnostic quantity is measured and treated with an appropriate signal analysis tool, and, second, the diagnostic signal is evaluated, either by trained personnel or by automatic systems, to determine the presence and the severity of the fault. The techniques used in each...
The diagnosis of electrical motors through the detection of fault frequency signatures in the current's spectrum has become an established standard in the field of industrial maintenance systems. Nevertheles, its implementation on devices with low computing power remains a practical challenge. Industrial controllers, such as programmable logic controllers, or modern, low cost controller hardware,...
Time–frequency analysis of the transient current in induction motors (IMs) is the basis of the transient motor current signature analysis diagnosis method. IM faults can be accurately identified by detecting the characteristic pattern that each type of fault produces in the time–frequency plane during a speed transient. Diverse transforms have been proposed to generate a 2-D time–frequency representation...
The Hilbert transform (HT) can improve the resolution of motor current signature analysis (MCSA), especially at very low slip, because it converts the supply frequency into a continuous component, which can be easily removed to better detect fault harmonics. This paper proposes its application also during speed transients, with two key advantages: first, it allows an easy filtering of the transient...
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