Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Renhe Yao"'
Publikováno v:
ISA Transactions. 136:483-502
Faulty impulses from incipient damaged bearings are typically submerged in harmonics, random shocks, and noise, making incipient fault diagnosis challenging. The prerequisite to this problem is the robust estimation of faulty impulses; thus, this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::896d2832d7e17c1b6641c6b3c5a91567
https://doi.org/10.1016/j.isatra.2022.10.022
https://doi.org/10.1016/j.isatra.2022.10.022
Publikováno v:
Measurement Science and Technology. 34:085101
Efficient and automatic fault feature extraction of rotating machinery, especially for incipient faults is a challenging task of great significance. In this article, an optimal periodicity-enhanced group sparse method is proposed. Firstly, a period s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce583339aa9ab2b78ac907b7ebee1580
https://doi.org/10.1088/1361-6501/accc4c
https://doi.org/10.1088/1361-6501/accc4c
Publikováno v:
Mechanical Systems and Signal Processing. 187:109955
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab415b41bebf15f0bf38300602827799
https://doi.org/10.1016/j.ymssp.2022.109955
https://doi.org/10.1016/j.ymssp.2022.109955
Publikováno v:
ISA transactions. 118
Incipient fault detection of rolling bearings is a challenging task since the weak fault features are disturbed by heavy background noise. This paper develops a periodicity-enhanced sparse representation method to address this issue. Firstly, periodi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1982ac0fb178d5d97fe9aff8ed5558e
https://pubmed.ncbi.nlm.nih.gov/33676735
https://pubmed.ncbi.nlm.nih.gov/33676735
Publikováno v:
Mechanical Systems and Signal Processing. 166:108467
Bearing incipient fault feature extraction is crucial and challenging throughout its life cycle. In this paper, an adaptive period matching enhanced sparse representation (APMESR) algorithm is developed to address this issue. First, a novel methodolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e6104c1dbd708ddc52506e6fdaa6459
https://doi.org/10.1016/j.ymssp.2021.108467
https://doi.org/10.1016/j.ymssp.2021.108467
Publikováno v:
Measurement. 179:109471
Vibration signals measured from rolling bearing are often used to judge operational condition of rotation machinery. This paper proposes a nonconvex wavelet total variation method to detect rolling bearing fault feature submerged in noise measurement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86b054672b102b9f772a944603d40120
https://doi.org/10.1016/j.measurement.2021.109471
https://doi.org/10.1016/j.measurement.2021.109471
Publikováno v:
Measurement Science and Technology. 32:105005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9d8c75f95c254e32b33c39c3ca0e3c2
https://doi.org/10.1088/1361-6501/abfe84
https://doi.org/10.1088/1361-6501/abfe84