Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Tongyang Pan"'
Publikováno v:
IEEE Internet of Things Journal. 9:19811-19822
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e1eaaa9e9973723fb929889a255ce95
https://doi.org/10.1109/jiot.2022.3168317
https://doi.org/10.1109/jiot.2022.3168317
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62398a8395af74583f816914e7ba1aee
https://doi.org/10.1109/tim.2021.3134999
https://doi.org/10.1109/tim.2021.3134999
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aa790a93eb2b5d79eb77e6bb4dc5577
https://doi.org/10.1109/tim.2022.3184368
https://doi.org/10.1109/tim.2022.3184368
Publikováno v:
IEEE Transactions on Industrial Electronics. 68:10130-10141
Intelligent fault diagnosis of machines has long been a research hotspot and has achieved fruitful results. However, intelligent fault diagnosis is a difficult issue in the case of a small sample due to the lack of fault signals. To solve this proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37e0e977100331c0bb9e3dfe3b017fed
https://doi.org/10.1109/tie.2020.3028821
https://doi.org/10.1109/tie.2020.3028821
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:6282-6293
Class imbalance issue has been a major problem in mechanical fault detection, which exists when the number of instances presenting in a class is significantly fewer than that in another class. This article focuses on the problem of zero-shot fault de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa76169f32dda8fc781be545007c6b1a
https://doi.org/10.1109/tii.2020.3030967
https://doi.org/10.1109/tii.2020.3030967
Autor:
Tongyang Pan
Publikováno v:
Energy Revolution and Chemical Research ISBN: 9781003332657
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d20e77117301f35a3f9fac828e3508a4
https://doi.org/10.1201/9781003332657-101
https://doi.org/10.1201/9781003332657-101
Publikováno v:
Mechanical Systems and Signal Processing. 195:110271
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37f7347ad48b00fe65bf82dd1c424d83
https://doi.org/10.1016/j.ymssp.2023.110271
https://doi.org/10.1016/j.ymssp.2023.110271
Publikováno v:
Reliability Engineering & System Safety. 232:109074
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cd8d8f31040622879a70e8d5f4b9e02
https://doi.org/10.1016/j.ress.2022.109074
https://doi.org/10.1016/j.ress.2022.109074
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-11
The implementation of condition monitoring and fault diagnosis is of special importance for ensuring wind turbine (WT) operation safely and stably. In practice, however, the fault data of WT are limited, which makes it hard to identify faults of WT a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e74a3a0b266767c628b5d98be5319c8e
https://doi.org/10.1109/tim.2020.3043098
https://doi.org/10.1109/tim.2020.3043098
Publikováno v:
Journal of Manufacturing Systems. 57:400-415
Change of working condition leads to discrepancy in domain distribution of equipment vibration signals. This discrepancy poses an obstacle to application of deep learning method in fault diagnosis of wind turbine. When lacking domain adaptation abili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9d6a891295553de4908dfca07d80b1c
https://doi.org/10.1016/j.jmsy.2020.10.007
https://doi.org/10.1016/j.jmsy.2020.10.007