[1]
H. Boulton. Combining Thermo graphic, Environmental And Functional Testing For Characterization And Performance Measurement of Electronic Devices And Assemblies, SPIE, 581 Thermo sense Ⅷ, 1986.
Google Scholar
[2]
H. Cui, Z. Tang, Y. Fang, J. Liu, T. Qian, C. Yang, The studies of a temperature monitor system for electric equipments based on infrared technical and virtual instruments, Advanced Materials Research, 2011, 219-220:1617-1620.
DOI: 10.4028/www.scientific.net/amr.219-220.1617
Google Scholar
[3]
Q. Dong, Infrared diagnosis technique for power equipment application, Beijing China, China Machine Press, 1998, 8-14
Google Scholar
[4]
X. Wang, W. Yang, M. Rong, H. Zou, Z. Yuan, N. Yuan, Development of digital infrared temperature sensor for high voltage power equipment. High Voltage Apparatus, 2002, 38(2):19-21
Google Scholar
[5]
W. Dai, M. Fang, Infrared detection technology application and research on power station. Infrared Technology, 2006, 28(5):306-309
Google Scholar
[6]
J. Xue, Application of infrared testing technique in electric power system. Shanxi Electric Power, 2007.1:14-18
Google Scholar
[7]
X. Wang, The discuss of infrared examination of electrodynamic system examination. Henan Electric Power, 2007, 1:18-20
Google Scholar
[8]
C. Romessis, K. Mathioudakis, Bayesian network approach for gas path fault diagnosis, J. Engineering for gas turbines and power, 2006, 128(1):64-72
DOI: 10.1115/1.1924536
Google Scholar
[9]
H. Wang, Y. Cheng, A quantitative system for pulse diagnosis in traditional Chinese medicine. In: Proceedings 27th annual int. Conf. on IEEE Engineering in Medichine and Biology Society. Shanghai: IEEE, 2005. 5676-5679
DOI: 10.1109/iembs.2005.1615774
Google Scholar
[10]
D. Heckerman Bayesian network for data mining, Data mining and knowledge discovery, 1997, 3:79-119
Google Scholar