TY - JOUR
T1 - Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing
AU - Ciszewski, Tomasz
AU - Gelman, Len
AU - Ball, Andrew
N1 - Published in a Special Issue: Fault Identification and Prognosis for Electromechanical Systems
PY - 2020/10/1
Y1 - 2020/10/1
N2 - 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.
AB - 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.
KW - Electromechanical systems
KW - Digital data processing
KW - Fault diagnosis
UR - http://www.scopus.com/inward/record.url?scp=85091362711&partnerID=8YFLogxK
U2 - 10.3390/electronics9101560
DO - 10.3390/electronics9101560
M3 - Article
VL - 9
SP - 1
EP - 20
JO - Electronics (Switzerland)
JF - Electronics (Switzerland)
SN - 2079-9292
IS - 10
M1 - 1560
ER -
