Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Tangbo Bai"'
Publikováno v:
IEEE Access, Vol 11, Pp 124004-124013 (2023)
The surface cracks on high-speed railway ballastless track slabs directly influence their lifespan, while the efficiency of damage detection and maintenance is crucial for ensuring operational safety. Leveraging deep learning image processing technol
Externí odkaz:
https://doaj.org/article/489ab7c9941f4579acbd14f2cea81ae8
Publikováno v:
IEEE Access, Vol 7, Pp 38213-38223 (2019)
Vibration signal analysis is one of the most effective approaches for detecting faults in bearings. A bearing compound-fault signal always consists of multiple signatures and stochastic noise. The separation of multi-fault signals from them is not on
Externí odkaz:
https://doaj.org/article/9a4464598111482e914fda422a247e69
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
Rotating machinery has a complicated structure and interaction of multiple components, which usually results in coupling faults with complex dynamic characteristics. Fault diagnosis methods based on vibration signals have been widely used, however, t
Externí odkaz:
https://doaj.org/article/6bc87887ce5b4010a0a5a9623bbed5e0
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
Large-scale mechanical equipment monitoring involves various kinds and quantities of information, and the present research on multisensor information fusion may face problems of information conflicts and modeling complexity. This paper proposes an an
Externí odkaz:
https://doaj.org/article/f0c2d700e5ec4483936d59dfe81b67b3
Publikováno v:
Entropy, Vol 23, Iss 11, p 1437 (2021)
The detection of rail surface defects is an important tool to ensure the safe operation of rail transit. Due to the complex diversity of track surface defect features and the small size of the defect area, it is difficult to obtain satisfying detecti
Externí odkaz:
https://doaj.org/article/f0d2f43b37334dc191a8c02bd32f0e10
Publikováno v:
Shock and Vibration, Vol 2019 (2019)
Effective and efficient diagnosis methods are highly demanded to improve system reliability. Comparing with conventional fault diagnosis methods taking a forward approach (e.g., feature extraction, feature selection, and fusion, and then fault diagno
Externí odkaz:
https://doaj.org/article/82059faad7304e91bd1d2c3bcfe96195
Publikováno v:
Advances in Mechanical Engineering, Vol 8 (2016)
Gearbox diagnosis under stationary operating conditions has been extensively investigated; however, variable operating conditions such as load and speed changes play important roles in affecting the accuracy of gearbox diagnosis. This article present
Externí odkaz:
https://doaj.org/article/ddb4eed1808446038b59a3ebd2e6902b
Publikováno v:
Entropy
Volume 23
Issue 11
Entropy, Vol 23, Iss 1437, p 1437 (2021)
Volume 23
Issue 11
Entropy, Vol 23, Iss 1437, p 1437 (2021)
The detection of rail surface defects is an important tool to ensure the safe operation of rail transit. Due to the complex diversity of track surface defect features and the small size of the defect area, it is difficult to obtain satisfying detecti
Publikováno v:
IEEE Access, Vol 7, Pp 38213-38223 (2019)
Vibration signal analysis is one of the most effective approaches for detecting faults in bearings. A bearing compound-fault signal always consists of multiple signatures and stochastic noise. The separation of multi-fault signals from them is not on
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 35:5771-5784