Sensor placement for fault diagnosis using genetic algorithm.

Guoyi Chi Danwei Wang Ming Yu Marjan Alavi Tung Le Ming Luo

Published in: ETFA (2012)

Keyphrases

fault diagnosis
sensor placement
genetic algorithm
fuzzy logic
neural network
ant colony optimization algorithm
distributed network
multiple objectives
fault detection
multi objective
expert systems

parameter tuning
fault detection and diagnosis
sensor networks
monitoring and fault diagnosis
operating conditions
optimization model
ant colony optimization
electronic equipment
bp neural network
ant colony algorithm

power transformers
transportation systems
condition monitoring
fitness function
chemical process
target tracking
gas turbine
analog circuits
multi sensor information fusion
evolutionary algorithm

rbf neural network
evolutionary computation
control system
hybrid algorithm
multiple faults
kalman filter
multi objective optimization
global optimization
metaheuristic
simulated annealing