Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Jianshe Kang"'
Publikováno v:
Jixie chuandong, Vol 44, Pp 143-149 (2020)
The rolling bearing fault signal of the gearbox is difficult to extract effectively due to noise interference. A fault feature extraction method of gearbox rolling bearing based on VMD and fast-kurtogram is proposed. Firstly， the vibration signal o
Externí odkaz:
https://doaj.org/article/6cb64b0a255846dbbb46d855714270fc
Publikováno v:
Shock and Vibration, Vol 2022 (2022)
Industrial big data bring a large number of high-dimensional sample datasets. Although a deep learning network can well mine the internal nonlinear structure of the dataset, the construction of the deep learning model requires a lot of computing time
Externí odkaz:
https://doaj.org/article/4d54c997550544c29129f15103c273f5
Publikováno v:
Sensors, Vol 22, Iss 21, p 8129 (2022)
Regarding the problem of the valve gap health status being difficult to assess due to the complex composition of the condition monitoring signal during the operation of the diesel engine, this paper proposes an adaptive noise reduction and multi-chan
Externí odkaz:
https://doaj.org/article/2a2baf31f0a04096a20040aea7a72b93
Publikováno v:
Structural Health Monitoring. 22:1677-1707
This paper proposes an adaptive fault diagnosis algorithm based on vibration signals for fault diagnosis of bearings and diesel engines. First, the improved nonlinear gray wolf optimization algorithm (NGWO) is adopted to optimize the key parameter fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65d448b482403dbb4fe4be09e42e0d87
https://doi.org/10.1177/14759217221113323
https://doi.org/10.1177/14759217221113323
Publikováno v:
Quality and Reliability Engineering International.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::529d18bb71e6cbfc0d46d48b9f091927
https://doi.org/10.1002/qre.3350
https://doi.org/10.1002/qre.3350
Publikováno v:
Open Physics. 20:993-1018
Aiming at the problems of complex diesel engine cylinder head signals, difficulty in extracting fault information, and existing deep learning fault diagnosis algorithms with many training parameters, high time cost, and high data volume requirements,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::034c55925be80c7820175cbdace20850
https://doi.org/10.1515/phys-2022-0197
https://doi.org/10.1515/phys-2022-0197
Publikováno v:
Sensors, Vol 15, Iss 3, Pp 6996-7015 (2015)
Tracking degradation of mechanical components is very critical for effective maintenance decision making. Remaining useful life (RUL) estimation is a widely used form of degradation prediction. RUL prediction methods when enough run-to-failure condit
Externí odkaz:
https://doaj.org/article/3e48f0f8b188469093ae3c7ed674047e
Autor:
Ruifeng Yang1 rfyangphm@163.com, Jianshe Kang1 jskang201206@126.com
Publikováno v:
Vibroengineering Procedia. Dec2016, Vol. 10, p173-178. 6p.
Publikováno v:
Complexity, Vol 2017 (2017)
Separated decision-making for maintenance and spare ordering is unrealistic in the industry, so this paper aims to optimize them together. A joint policy of inspection-based preventive maintenance (PM) and spare ordering considering two modes of spar
Externí odkaz:
https://doaj.org/article/c76123d764d244129a8198cd46f6c800
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
Stochastic resonance is like a nonlinear filter to detect the weak bearing fault-induced impulses that submerged in strong noises. Signal-to-noise ratio (SNR) is often used as the index to evaluate the SR output, but the fault characteristic frequenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27f7bf5bc1412232f7dd59a28ba23e20
https://doi.org/10.1155/2021/8888079
https://doi.org/10.1155/2021/8888079