Details

Autor(en) / Beteiligte

• Daoli Zhao
• Wuke Liang
• Haipeng Nan
• Xingqi Luo
• Wei Ma

Titel

Fault Diagnosis Method of Hydropower Units Based on Integrated Information Fusion Technology

Ist Teil von

• 2009 Asia-Pacific Power and Energy Engineering Conference, 2009, p.1-4

Ort / Verlag

IEEE

Erscheinungsjahr

2009

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• A diagnosis method based on integrated information fusion which combining neural network and Dempster-Shafer evidential theory is presented in this paper. In the method, vibration-testing data of hydropower units is processed through several sub-neural networks and the output result of each sub-neural network is used as the corresponding BPA (basic probability assignment) function that is hard extremely to be obtained. Whereafter, the more accurate and comprehensive diagnosis result can be obtained by fusion diagnosis. Diagnosis example shows that, using information fusion of multi-symptom domains, the belief function of fault target increases markedly, and uncertainty of diagnosis decreases obviously, as a result, the reliability of diagnosis can be greatly improved.