Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition

By J. Cusidó, Luís Romeral, J. A. Redondo, Javier A. Rosero, A. Espinosa. IEEE transactions on industrial electronics (1982. Print), 2008

549 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/480d6e3d2c437f17c639a5cd938d7db786e28522

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In Control and Systems Engineering

In Electrical and Electronic Engineering

Citations in the corpus

EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component (2013, background): “) or time-scale analysis (wavelet) have been proposed [5-9].”
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis (2016, background): “WPT has been found to have an aliasing problem near the border of the frequency bands, and there is no general rule to choose mother wavelets [19], [37], [38].”
Cost-Effective Condition Monitoring for Wind Turbines (2010, methodology): “Wavelet transforms have been successfully used in condition monitoring and diagnosis of rotating electrical machine faults [1], [12]–[14].”
Recent Advances in Modeling and Online Detection of Stator Interturn Faults in Electrical Motors (2011, methodology): “In order to overcome these problems, wavelet transform has been used in [ 9 ], [15], and [17]–[20] as an alternate tool for fault feature extraction.”
Advances in Diagnostic Techniques for Induction Machines (2008, methodology): “The Wigner distribution and its various permutations is an analysis technique that has been widely used in the detection of faults in mechanical systems [70] together with wavelet transform [71]–[74] and Hilbert–Huang transform.”
The Vibration Monitoring Methods and Signal Processing Techniques for Structural Health Monitoring: A Review (2016, methodology): “This technique consumes a small amount of processing power, and it is used for fault diagnoses of induction machines [22].”