Transformer power fault diagnosis system design based on the HMM method

Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007

Volumn , Issue , 2007, Pages 1077-1082

  Qian, Suxiang ^a   Jiao, Weidong ^a   Hu, Hongsheng ^a   Yan, Gongbiao ^b  

^a University of Jiaxing   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

Fault diagnosis; HMM; Power transformer

Indexed keywords

FAILURE ANALYSIS; LARGE SCALE SYSTEMS; POWER TRANSFORMERS; SYSTEMS ANALYSIS;

LARGE-SCALE TRANSFORMER; SOCIAL DEVELOPMENT;

HIDDEN MARKOV MODELS;

EID: 40649107436     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAL.2007.4338728     Document Type: Conference Paper

References (5)

1. RabinerLR,"AtutorialonhiddenMarkovmodelsandselectedapplicationsins peechrecognition,"Proceedings of IEEE, vol. 77, no. 2 pp.257-286, 1989.
2. th International Conference on Electrical Machines and Drives, 1993.
3. Ocak, H., Loparo, K.A,"A new bearing fault detection and diagnosis scheme based on hidden Markov modeling of vibration signals."Acoustics, Speech, and Signal Processing 2001, vol. 5, pp.3141-3144, 2001.
4. Stegemann, D., Reimche, W., et al,"Monitoring and vibrational diagnostic of rotating machinery in power plants," Power Station Maintenance - Profitability Through Reliability, 1998. First IEE/IMechE International Conference, pp.39-44, 1998.
5. Feng Changjian. HMM Dynamical Pattern Recognition Theories. Methods and Applications in Faults Diagnosis of Rotating Machine: [MA.D thesis], Hangzhou: Zhejiang University, 2002.