Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines
نویسندگان
چکیده
منابع مشابه
Diagnosis of broken-bars fault in induction machines using higher order spectral analysis.
Detection and identification of induction machine faults through the stator current signal using higher order spectra analysis is presented. This technique is known as motor current signature analysis (MCSA). This paper proposes two higher order spectra techniques, namely the power spectrum and the slices of bi-spectrum used for the analysis of induction machine stator current leading to the de...
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Nowadays in industry there many processes where human intervention is replaced by electrical machines, especially induction machines due to his robustness and performance. Although, induction machines are a high reliable device, they are also susceptible to faults. Therefore, the study of induction machine state is essential to reduce human and financial costs. It is presented in this paper an ...
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This paper presents an assessment of motor current signature analysis for fault diagnosis of an induction motor. Single phasing fault has been considered and stator current harmonics are analyzed by assessing peaks and symmetry in harmonic spectrums both at normal condition and at fault condition. ‘db4’ is used for current signature analysis wavelet decomposition. A comparative observation is m...
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The use of efficient signal processing tools (SPTs) to extract proper indices for the fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The 2nd part of this two-part paper is, in turn, divided into two parts. Part two covers the signal processing techniques which can be applied to non-stationary conditions. In this paper, all utilized SPTs for n...
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Different alternatives to detect and diagnose faults in induction machines have been proposed and implemented in the last years. These new alternatives are characterised by an on-line and non-invasive feature, that is to say, the capacity to detect faults while the machine is working and the capacity to work sensorless. These characteristics, obtained by the new techniques, distinguish them fro...
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ژورنال
عنوان ژورنال: IEEE Transactions on Energy Conversion
سال: 2015
ISSN: 0885-8969,1558-0059
DOI: 10.1109/tec.2015.2416973