2020
DOI: 10.17531/ein.2020.4.17
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Fast bearing fault diagnosis of rolling element using Lévy Moth-Flame optimization algorithm and Naive Bayes

Abstract: Fault diagnosis is part of the maintenance system, which can reduce maintenance costs, increase productivity, and ensure the reliability of the machine system. In the fault diagnosis system, the analysis and extraction of fault signal characteristics are very important, which directly affects the accuracy of fault diagnosis. In the paper, a fast bearing fault diagnosis method based on the ensemble empirical mode decomposition (EEMD), the moth-flame optimization algorithm based on Lévy flight (LMFO) and the nai… Show more

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Cited by 44 publications
(30 citation statements)
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“…[25,26]. Reliability for the mechanical strength of materials was discussed in papers [27,28]. M. Warszyński [29] defines the reliability of an object or element as its ability to carry loads under specified conditions and over specified time periods while maintaining its required strength.…”
Section: Introductionmentioning
confidence: 99%
“…[25,26]. Reliability for the mechanical strength of materials was discussed in papers [27,28]. M. Warszyński [29] defines the reliability of an object or element as its ability to carry loads under specified conditions and over specified time periods while maintaining its required strength.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, this property should be taken into account by the orthodontist as the biomechanical effect of the apparatus may be affected. (4) It seems that among the tested materials, the material 2A, of which orthodontic plates are made, can be used for applications in which stresses caused by long-term biomechanical loads should be less than 20 MPa.…”
Section: Discussionmentioning
confidence: 99%
“…The functional properties of polymeric materials, including mechanical properties and their experimental assessment have become an important area of research in the field of material engineering [1][2][3][4]. The growing interest is due to the increasing use of polymers in industrial production as well as medical devices [5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…The research work on object detection algorithms has experienced the transition from traditional algorithms to deep learning ones [24]. The traditional object detection methods, such as the algorithm of fast multi-feature pedestrian detection based on the histogram of an oriented gradient (HOG) using discrete wavelet transform proposed by Gwang-Soo Hong [25], and distinctive image features from scale-invariant key points proposed by Lowe D. [26], etc.…”
Section: Methodsmentioning
confidence: 99%