Works (3)
Updated: July 5th, 2023 15:57
2008 journal article
On the use of a lower sampling rate for broken rotor bar detection with DTFT and AR-based spectrum methods
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 55(3), 1421–1434.
author keywords: broken rotor bar; fault diagnosis; induction motors; motor current signature analysis (MCSA); spectral analysis
TL;DR:
This paper has demonstrated with experimental results that the use of a lower sampling rate with a digital notch filter is feasible for MCSA in broken rotor bar detection with discrete-time Fourier transform and autoregressive-based spectrum methods.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2006 journal article
Multiple discriminant analysis and neural-network-based monolith and partition fault-detection schemes for broken rotor bar in induction motors
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 53(4), 1298–1308.
author keywords: artificial neural networks (ANN's); broken rotor bar; discriminant analysis; fault diagnosis; induction motors
TL;DR:
Two fault-detection schemes for a broken-rotor-bar fault detection with a multiple signatureprocessing are described and it is demonstrated that the multiple signature processing is more efficient than a single signature processing.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2005 journal article
Multiple signature processing-based fault detection schemes for broken rotor bar in induction motors
IEEE TRANSACTIONS ON ENERGY CONVERSION, 20(2), 336–343.
author keywords: broken rotor bar; discriminant analysis; fault diagnosis; induction motors; monitoring
Source: Web Of Science
Added: August 6, 2018
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