Novel Instantaneous Wavelet Bicoherence for Vibration Fault Detection in Gear Systems

Gelman, Len; Solinski, Krzysztof; Ball, Andrew

doi:10.3390/en14206811

Cited by 10 publications

(6 citation statements)

References 57 publications

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“…The main dissimilarity between the proposed technologies (1), the higher-order spectral cross-covariance technologies in refs [1][2][3], and the classical higher-order spectra [58] is that the proposed cross-correlations are estimated for the moduli of complex frequency transforms and complex time-frequency transforms. The proposed use of complex transform moduli for higher-order spectral techniques is non-traditional, as traditionally e.g., [1][2][3]7,16,18,22,24,27,58,59], in applications by all known authors of higher-order spectral techniques and the complex spectral components (not moduli of complex spectral components) are used.…”

Section: The Cross-correlations Of Spectral Modulimentioning

confidence: 99%

Novel Nonlinear High Order Technologies for Damage Diagnosis of Complex Assets

2022

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For the first time worldwide, innovative techniques, generic non-linear higher-order unnormalized cross-correlations of spectral moduli, for the diagnosis of complex assets, are proposed. The normalization of the proposed techniques is based on the absolute central moments, that have been proposed and widely investigated in mathematical works. The existing higher-order, cross-covariances of complex spectral components are not sufficiently effective. The novel technology is comprehensively experimentally validated for induction motor bearing diagnosis via motor current signals. Experimental results, provided by the proposed technique, confirmed high overall probabilities of correct diagnoses for bearings at early stages of damage development. The proposed diagnosis technology is compared with existing diagnosis technology, based on the triple cross-covariance of complex spectral components.

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Section: The Cross-correlations Of Spectral Modulimentioning

confidence: 99%

Novel Nonlinear High Order Technologies for Damage Diagnosis of Complex Assets

2022

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“…In Refs. [ 26 , 27 , 28 ], an initial application of wavelet bicoherence and wavelet cross-covariance to the diagnosis of gearbox tooth faults at an early stage and developed naturally, is presented. The HOS are used in Ref.…”

Section: Introductionmentioning

confidence: 99%

Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis

Farhat

Gelman

Abdullahi

et al. 2023

Sensors

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For the first time ever worldwide, this paper proposes, investigates, and validates, by multiple experiments, a new online automatic diagnostic technology for the belt mis-tracking of belt conveyor systems based on motor current signature analysis (MCSA). Three diagnostic technologies were investigated, experimentally evaluated, and compared for conveyor belt mis-tracking diagnosis. The proposed technologies are based on three higher-order spectral diagnostic features: bicoherence, tricoherence, and the cross-correlation of spectral moduli of order 3 (CCSM3). The investigation of the proposed technologies via comprehensive experiments has shown that technology based on the CCSM3 is highly effective for diagnosing a conveyor belt mis-tracking via MCSA.

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“…Most IMs are required to operate for a long time between maintenance actions. That is why effective condition monitoring is needed in industrial applications of motors [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ], gear motors [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ], and other structures. Proper fault diagnosis and fault isolation of key components is crucial for continuity of IM operations.…”

Section: Introductionmentioning

confidence: 99%

Novel Investigation of Higher Order Spectral Technologies for Fault Diagnosis of Motor-Based Rotating Machinery

Ciszewski

Gelman

Ball

et al. 2023

Sensors

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In the last decade, research centered around the fault diagnosis of rotating machinery using non-contact techniques has been significantly on the rise. For the first time worldwide, innovative techniques for the diagnosis of rotating machinery, based on electrical motors, including generic, nonlinear, higher-order cross-correlations of spectral moduli of the third and fourth order (CCSM3 and CCSM4, respectively), have been comprehensively validated by modeling and experiments. The existing higher-order cross-correlations of complex spectra are not sufficiently effective for the fault diagnosis of rotating machinery. The novel technology CCSM3 was comprehensively experimentally validated for induction motor bearing diagnosis via motor current signals. Experimental results, provided by the validated technology, confirmed high overall probabilities of correct diagnosis for bearings at early stages of damage development. The novel diagnosis technologies were compared with existing diagnosis technologies, based on triple and fourth cross-correlations of the complex spectra. The comprehensive validation and comparison of the novel cross-correlation technologies confirmed an important non-traditional novel outcome: the technologies based on cross-correlations of spectral moduli were more effective for damage diagnosis than the technologies based on cross-correlations of the complex spectra. Experimental and simulation validations confirmed a high probability of correct diagnosis via the CCSM at the early stage of fault development. The average total probability of incorrect diagnosis for the CCSM3 for all experimental results of 8 tested bearings, estimated via 6528 diagnostic features, was 1.475%. The effectiveness gains in the total probability of incorrect diagnosis for the CCSM3 in comparison with the CCCS3 were 26.8 for the experimental validation and 18.9 for the simulation validation. The effectiveness gains in the Fisher criterion for the CCSM3 in comparison with the CCCS3 were 50.7 for the simulation validation and 104.7 for the experimental validation.

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Novel Instantaneous Wavelet Bicoherence for Vibration Fault Detection in Gear Systems

Cited by 10 publications

References 57 publications

Novel Nonlinear High Order Technologies for Damage Diagnosis of Complex Assets

Novel Nonlinear High Order Technologies for Damage Diagnosis of Complex Assets

Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis

Novel Investigation of Higher Order Spectral Technologies for Fault Diagnosis of Motor-Based Rotating Machinery

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