Fault diagnosis study on the vibration of hydropower units based on GA neural network and evidence theory fusion

Shuili Fadian Xuebao/Journal of Hydroelectric Engineering

Volumn 27, Issue 5, 2008, Pages 163-167

  Liu, Lifeng ^a   Li, Yuxia ^b   Wang, Wei ^b  

^a China Hydropower Engineering Consulting Group Co   (China)

^b XI'AN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Evidence theory; GA neural network; Hydraulic machinery; Vibration fault diagnosis

Indexed keywords

FUSION REACTIONS; GENETIC ALGORITHMS; HYDRAULIC MACHINERY; IMAGE CLASSIFICATION; LATTICE VIBRATIONS; MACHINERY; MATLAB; NEURAL NETWORKS; RELIABILITY; RELIABILITY THEORY;

CONVERGENCE RATES; EVIDENCE THEORIES; EVIDENCE THEORY; FAULT DIAGNOSIS; FAULT DIAGNOSIS METHODS; FAULT DIAGNOSIS SYSTEMS; FUSION DIAGNOSIS; GA NEURAL NETWORK; VIBRATION FAULT DIAGNOSIS; VIBRATION FAULTS;

ELECTRIC FAULT CURRENTS;

EID: 55149116972     PISSN: 10031243     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)