Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Zhu, Deheng"'
Autor:
Zhu, Deheng1 (AUTHOR) zhudeheng2013@yahoo.co.jp, Seki, Hiroaki2 (AUTHOR), Tsuji, Tokuo2 (AUTHOR), Hiramitsu, Tatsuhiro2 (AUTHOR)
Publikováno v:
Sensors (14248220). Sep2022, Vol. 22 Issue 18, p7006-N.PAG. 17p.
Autor:
Lin, Du, Jiang, Lei, Li, Fuqi, Zhu, Deheng **, Tan, Kexiong, Wu, Chengqi, Jin, Xianhe, Wang, Changchang, Cheng, T.C.
Publikováno v:
In Tsinghua Science & Technology 2005 10(5):598-604
Publikováno v:
International Journal of Mechatronics and Automation; 2022, Vol. 9 Issue: 2 p90-98, 9p
Autor:
Li Fuqi, Tan Kexiong, Jin Xianhe, Wu Chengqi, Wang Changchang, Zhu Deheng, Lin Du, T.C. Cheng, Jiang Lei
Publikováno v:
Tsinghua Science and Technology. 10:598-604
This paper introduces a computerized on-line partial discharge (PD) monitoring and diagnostic system for transformers. The system, which is already in use in a power station, uses wide-band active transducers and a data acquisition unit with modulari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e81f820a7f5ed813f98a9bac2ac83382
https://doi.org/10.1016/s1007-0214(05)70125-5
https://doi.org/10.1016/s1007-0214(05)70125-5
Publikováno v:
IEEE Transactions on Dielectrics and Electrical Insulation. 2:700-707
The insulation system of HV apparatus deteriorates due to partial discharges (PD). PD tests are carried out successfully in shielded laboratories to verify the insulation quality and to rectify defects left during the manufacturing process. A variety
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f991ab2ea272416f1b9da04e3c943c8
https://doi.org/10.1109/94.407034
https://doi.org/10.1109/94.407034
Publikováno v:
2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings..
An on-line diagnostic expert system (ES) for generators is presented in this paper, in which the automatic diagnostic mode and man-machine interactive diagnostic mode are used to evaluate the state of generators based on the knowledge-based system (K
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76b7b04529de0285b829f2370257d0f4
https://doi.org/10.1109/tencon.2002.1182701
https://doi.org/10.1109/tencon.2002.1182701
Publikováno v:
[1991] Proceedings of the 3rd International Conference on Properties and Applications of Dielectric Materials.
A computer-aided online detection system of partial discharges (PDs) in power transformers is described. The impulse electrical signals of PD are detected with a current transducing unit and the acoustic emission signals of the PD are detected with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06c527ba12472a2fe2b49e33d796430b
https://doi.org/10.1109/icpadm.1991.172275
https://doi.org/10.1109/icpadm.1991.172275
Publikováno v:
POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151).
An artificial neural network (ANN) representation method is presented and discussed in this paper. ANN representation of symbolic and numeric knowledge is realized by the improved backpropagation (BP) algorithm. The method of management and organizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::851aa719d4f3ea8e95e888f2a78245b1
https://doi.org/10.1109/icpst.1998.728932
https://doi.org/10.1109/icpst.1998.728932
Publikováno v:
Proceedings of 5th International Conference on Properties and Applications of Dielectric Materials.
The application of Wavelet Transform to extract partial discharge signals from narrow-band disturbance such as sinusoidal interference is described in this paper. Mallat's algorithm of dyadic wavelet transform was used to filter out PD signals. Two k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bafc5d0ec0bfe681ad31e68ed3e2bab3
https://doi.org/10.1109/icpadm.1997.617593
https://doi.org/10.1109/icpadm.1997.617593
Publikováno v:
Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials (Cat. No.00CH36347).
An on-line power equipment monitoring and diagnosis system (PEMDS), which is developed for monitoring multiple parameters of power apparatus, is introduced in this paper. The structure of the system and the principles of development are discussed. PE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9a8723c17374f2eb4e72b01ef85187b
https://doi.org/10.1109/icpadm.2000.876108
https://doi.org/10.1109/icpadm.2000.876108