Forward and backward models for fault diagnosis based on parallel genetic algorithms

Journal of Zhejiang University: Science A

Volumn 9, Issue 10, 2008, Pages 1420-1425

  Liu, Yi ^a   Li, Ying ^a   Cao, Yi Jia ^a   Guo, Chuang Xin ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Fault diagnosis; Forward and backward models; Global single population master slave genetic algorithms (GPGAs); Parallel computation

Indexed keywords

ALGORITHMS; ELECTRIC FAULT CURRENTS; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; GENETIC ALGORITHMS; IMAGE ENHANCEMENT; MESSAGE PASSING; ONLINE SYSTEMS; PARALLEL ALGORITHMS; PHOTOELECTRIC RELAYS; POPULATION STATISTICS; POWER TRANSMISSION;

CIRCUIT BREAKERS; FAST COMPUTATIONS; FAULT DIAGNOSIS; FAULT SECTIONS; FORWARD AND BACKWARD MODELS; FORWARD MODELS; GLOBAL SINGLE-POPULATION MASTER-SLAVE GENETIC ALGORITHMS (GPGAS); LARGE-SCALE; MESSAGE PASSING INTERFACES; NEW MODELS; ONLINE APPLICATIONS; PARALLEL COMPUTATION; PARALLEL GENETIC ALGORITHMS; POWER SYSTEMS; PROTECTIVE RELAYS; SAMPLE SYSTEMS; SIMULATION RESULTS; TRANSMISSION POWERS;

MATHEMATICAL MODELS;

EID: 54249170588     PISSN: 1673565X     EISSN: 18621775     Source Type: Journal    
DOI: 10.1631/jzus.A0720087     Document Type: Article

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