Outer Race Fault Diagnosis by Comparison between the Power Spectral Density and the Kurtogram
| Autor: | Azeddine Bendiabdellah, Ahmed Hamida Boudinar, Mohammed-El-Amine Khodja, Ameur Fethi Aimer |
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| Rok vydání: | 2019 |
| Předmět: |
Bearing (mechanical)
Computer science Stator 020208 electrical & electronic engineering Spectral density 02 engineering and technology Fault (power engineering) Signature (logic) law.invention law 0202 electrical engineering electronic engineering information engineering Demodulation 020201 artificial intelligence & image processing Envelope (radar) Algorithm Induction motor |
| Zdroj: | 2019 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2019 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM). |
| DOI: | 10.1109/acemp-optim44294.2019.9007138 |
| Popis: | Statistically, the outer race of the rolling-element bearing is the most sensitive element used in induction motors. Among the known diagnosis methods, the analysis of the stator current envelope based on its demodulation, makes it possible to directly obtain the signature of the searched faults without the fundamental effect. This paper discusses one of these methods known as the Wavelet-Kurtogram. For this purpose, a comparison between the Wavelet-Kurtogram and the Power Spectral Density using the Periodogram is carried out for bearing faults diagnosis. The experimental results obtained show the superiority and the effectiveness of Wavelet-Kurtogram in the detection of the outer race fault. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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