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Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing

1
Department of Metrology and Information Systems, Faculty of Electrical and Control Engineering, Gdańsk University of Technology, 80-233 Gdansk, Poland
2
School of Computing and Engineering, The University of Huddersfield, West Yorkshire HD1 3DH, UK
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(10), 1560; https://doi.org/10.3390/electronics9101560
Received: 19 August 2020 / Revised: 22 September 2020 / Accepted: 22 September 2020 / Published: 23 September 2020
(This article belongs to the Special Issue Fault Identification and Prognosis for Electromechanical Systems)
It is proposed, developed, investigated, and validated by experiments and modelling for the first time in worldwide terms new data processing technologies, higher order spectral multiple correlation technologies for fault identification for electromechanical systems via electrical data processing. Investigation of the higher order spectral triple correlation technology via modelling has shown that the proposed data processing technology effectively detects component faults. The higher order spectral triple correlation technology successfully applied for rolling bearing fault identification. Experimental investigation of the technology has shown, that the technology effectively identifies rolling bearing fault by electrical data processing at very early stage of fault development. Novel technology comparisons via modelling and experiments of the proposed higher order spectral triple correlation technology and the higher order spectra technology show the higher fault identification effectiveness of the proposed technology over the bicoherence technology. View Full-Text
Keywords: electromechanical systems; digital data processing; fault diagnosis electromechanical systems; digital data processing; fault diagnosis
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MDPI and ACS Style

Ciszewski, T.; Gelman, L.; Ball, A. Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing. Electronics 2020, 9, 1560. https://doi.org/10.3390/electronics9101560

AMA Style

Ciszewski T, Gelman L, Ball A. Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing. Electronics. 2020; 9(10):1560. https://doi.org/10.3390/electronics9101560

Chicago/Turabian Style

Ciszewski, Tomasz; Gelman, Len; Ball, Andrew. 2020. "Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing" Electronics 9, no. 10: 1560. https://doi.org/10.3390/electronics9101560

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