Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Fengyun Xi"'
Publikováno v:
Earth Science-Journal of China University of Geosciences. 47:3501
Publikováno v:
Entropy, Vol 26, Iss 9, p 810 (2024)
Electric motors play a crucial role in self-driving vehicles. Therefore, fault diagnosis in motors is important for ensuring the safety and reliability of vehicles. In order to improve fault detection performance, this paper proposes a motor fault di
Externí odkaz:
https://doaj.org/article/27b5efc2031243fe953bed23d04f7c49
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1286 (2024)
In the complex and harsh environment of agriculture, rolling bearings, as the key transmission components in agricultural machinery, are very prone to failure, so research on the intelligent fault diagnosis of agricultural machinery components is cri
Externí odkaz:
https://doaj.org/article/4b4b3277da434e0b80fd72e5327151c8
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1333 (2024)
Maintaining agricultural machinery is crucial for efficient mechanized farming. Specifically, diagnosing faults in rolling bearings, which are essential rotating components, is of significant importance. Domain-adaptive technology often addresses the
Externí odkaz:
https://doaj.org/article/f8a1f49d26b64864841bba688e5bc5b1
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1496 (2024)
Walnut trees on the Tibetan Plateau have sustainable and nutritious characteristics. They grow naturally without the use of any chemical fertilizers and pesticides. Therefore, the soil fertility of walnut orchards is a key factor influencing walnut y
Externí odkaz:
https://doaj.org/article/1849d6fc08d24912a49133ee5b70c5a9
Publikováno v:
Polymer Testing, Vol 129, Iss , Pp 108247- (2023)
With the rapid growth of microelectronics and optoelectronics, the demand for black polyimides (BPIs) with exceptional comprehensive performance has increased dramatically. 3,6-diaryl-2,5-dihydropyrrolo [3,4-c]pyrrole-1,4-dione (TDPP) is a well-known
Externí odkaz:
https://doaj.org/article/ffafce8aad914ba7b70028b1f5b365e3
Publikováno v:
Agriculture, Vol 14, Iss 1, p 112 (2024)
In the context of addressing the challenge posed by limited fault samples in agricultural machinery rolling bearings, especially when early fault characteristics are subtle, this study introduces a novel approach. The proposed multi-domain fault diag
Externí odkaz:
https://doaj.org/article/cd9ab8d7baef4bc88a9e92561eab2460
Publikováno v:
Fractal and Fractional, Vol 7, Iss 12, p 875 (2023)
In response to challenges associated with feature extraction and diagnostic models’ complexity in the early diagnosis of bearings’ faults, this paper presents an innovative approach for the early fault diagnosis of rolling bearings. This method c
Externí odkaz:
https://doaj.org/article/c0ee68d1f1da4d63988009af64fd1828
Publikováno v:
Entropy, Vol 25, Iss 10, p 1446 (2023)
Three-phase asynchronous motors have a wide range of applications in the machinery industry and fault diagnosis aids in the healthy operation of a motor. In order to improve the accuracy and generalization of fault diagnosis in three-phase asynchrono
Externí odkaz:
https://doaj.org/article/672d4f423edc4e2ea14b6480b231a4ff
Intelligent Fault Diagnosis of Variable-Condition Motors Using a Dual-Mode Fusion Attention Residual
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 7, p 1385 (2023)
Electric motors play a crucial role in ship systems. Detecting potential issues with electric motors is a critical aspect of ship fault diagnosis. Fault diagnosis in motors is often challenging due to limited and noisy vibration signals. Existing dee
Externí odkaz:
https://doaj.org/article/e77dc3f55da24702b597b6936fd81576