Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895763863> ?p ?o ?g. }
- W2895763863 endingPage "295" @default.
- W2895763863 startingPage "283" @default.
- W2895763863 abstract "Machinery vibration signal is a typical multi-component signal and fault features are often submerged by some interference components. To accurately extract fault features, a weak feature enhancement method based on empirical wavelet transform (EWT) and an improved adaptive bistable stochastic resonance (IABSR) is proposed. This method makes full use of the signal decomposition performance of EWT and the signal enhancement of the IABSR to achieve the purpose of fault feature enhancement in low frequency band of FFT spectrum. Firstly, EWT is used as the preprocessing program of bistable stochastic resonance (BSR) to decompose the machinery vibration signal into a set of sub-components. Then, the sensitive component that contains main fault information is further input into BSR system to enhance fault features with the assistance of residual noises. Finally, the fault features are identified from fast Fourier transform (FFT) spectrum of the BSR output. To achieve the optimal BSR output, the IABSR method based on salp swarm algorithm (SSA) is presented. Compared with the tradition adaptive BSR (ABSR), the IABSR optimizes not only the BSR system parameters but also the calculation step size. Two case studies on machinery fault diagnosis demonstrate the effectiveness and superiority of the proposed method. In addition, the proposed method is easy to implement and is robust to noise to some extent." @default.
- W2895763863 created "2018-10-12" @default.
- W2895763863 creator A5010472607 @default.
- W2895763863 creator A5014310116 @default.
- W2895763863 creator A5068665155 @default.
- W2895763863 creator A5079815413 @default.
- W2895763863 date "2019-01-01" @default.
- W2895763863 modified "2023-10-12" @default.
- W2895763863 title "Weak feature enhancement in machinery fault diagnosis using empirical wavelet transform and an improved adaptive bistable stochastic resonance" @default.
- W2895763863 cites W1804238228 @default.
- W2895763863 cites W1963999667 @default.
- W2895763863 cites W1964212228 @default.
- W2895763863 cites W1987921974 @default.
- W2895763863 cites W1994146659 @default.
- W2895763863 cites W2000982976 @default.
- W2895763863 cites W2007221293 @default.
- W2895763863 cites W2019900743 @default.
- W2895763863 cites W2023340018 @default.
- W2895763863 cites W2035591701 @default.
- W2895763863 cites W2049706005 @default.
- W2895763863 cites W2066458068 @default.
- W2895763863 cites W2070461430 @default.
- W2895763863 cites W2075691402 @default.
- W2895763863 cites W2077242766 @default.
- W2895763863 cites W2116967254 @default.
- W2895763863 cites W2120390927 @default.
- W2895763863 cites W2203044710 @default.
- W2895763863 cites W2217684237 @default.
- W2895763863 cites W2299617127 @default.
- W2895763863 cites W2365083697 @default.
- W2895763863 cites W2404598724 @default.
- W2895763863 cites W2471474832 @default.
- W2895763863 cites W2554187209 @default.
- W2895763863 cites W2605673312 @default.
- W2895763863 cites W2738900493 @default.
- W2895763863 cites W2749059789 @default.
- W2895763863 cites W276684437 @default.
- W2895763863 cites W2781003581 @default.
- W2895763863 cites W2788684127 @default.
- W2895763863 cites W2791125525 @default.
- W2895763863 doi "https://doi.org/10.1016/j.isatra.2018.09.022" @default.
- W2895763863 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30309725" @default.
- W2895763863 hasPublicationYear "2019" @default.
- W2895763863 type Work @default.
- W2895763863 sameAs 2895763863 @default.
- W2895763863 citedByCount "59" @default.
- W2895763863 countsByYear W28957638632019 @default.
- W2895763863 countsByYear W28957638632020 @default.
- W2895763863 countsByYear W28957638632021 @default.
- W2895763863 countsByYear W28957638632022 @default.
- W2895763863 countsByYear W28957638632023 @default.
- W2895763863 crossrefType "journal-article" @default.
- W2895763863 hasAuthorship W2895763863A5010472607 @default.
- W2895763863 hasAuthorship W2895763863A5014310116 @default.
- W2895763863 hasAuthorship W2895763863A5068665155 @default.
- W2895763863 hasAuthorship W2895763863A5079815413 @default.
- W2895763863 hasConcept C11413529 @default.
- W2895763863 hasConcept C115961682 @default.
- W2895763863 hasConcept C121332964 @default.
- W2895763863 hasConcept C127313418 @default.
- W2895763863 hasConcept C138885662 @default.
- W2895763863 hasConcept C153180895 @default.
- W2895763863 hasConcept C154945302 @default.
- W2895763863 hasConcept C165205528 @default.
- W2895763863 hasConcept C175551986 @default.
- W2895763863 hasConcept C196216189 @default.
- W2895763863 hasConcept C199360897 @default.
- W2895763863 hasConcept C207658827 @default.
- W2895763863 hasConcept C2775924081 @default.
- W2895763863 hasConcept C2776401178 @default.
- W2895763863 hasConcept C2779843651 @default.
- W2895763863 hasConcept C41008148 @default.
- W2895763863 hasConcept C41895202 @default.
- W2895763863 hasConcept C47432892 @default.
- W2895763863 hasConcept C47446073 @default.
- W2895763863 hasConcept C62520636 @default.
- W2895763863 hasConcept C75172450 @default.
- W2895763863 hasConcept C97292510 @default.
- W2895763863 hasConcept C99498987 @default.
- W2895763863 hasConceptScore W2895763863C11413529 @default.
- W2895763863 hasConceptScore W2895763863C115961682 @default.
- W2895763863 hasConceptScore W2895763863C121332964 @default.
- W2895763863 hasConceptScore W2895763863C127313418 @default.
- W2895763863 hasConceptScore W2895763863C138885662 @default.
- W2895763863 hasConceptScore W2895763863C153180895 @default.
- W2895763863 hasConceptScore W2895763863C154945302 @default.
- W2895763863 hasConceptScore W2895763863C165205528 @default.
- W2895763863 hasConceptScore W2895763863C175551986 @default.
- W2895763863 hasConceptScore W2895763863C196216189 @default.
- W2895763863 hasConceptScore W2895763863C199360897 @default.
- W2895763863 hasConceptScore W2895763863C207658827 @default.
- W2895763863 hasConceptScore W2895763863C2775924081 @default.
- W2895763863 hasConceptScore W2895763863C2776401178 @default.
- W2895763863 hasConceptScore W2895763863C2779843651 @default.
- W2895763863 hasConceptScore W2895763863C41008148 @default.
- W2895763863 hasConceptScore W2895763863C41895202 @default.
- W2895763863 hasConceptScore W2895763863C47432892 @default.
- W2895763863 hasConceptScore W2895763863C47446073 @default.