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- W2366441704 abstract "Optimal sensor placement is important content of testability design for complicated systems,which belongs to the typical combinatorial optimization problem.Based on the improvement of the fault-sensor correlation matrix,the constraint optimization model is set up which considers the fault detection abilities of the sensors.The ergodic of chaos has been used to initialize the parameters of the particles,and the inertia weight is adjusted adaptively according to the swarm's premature convergence degree.Besides,the update of the particle's position has been redefined,then the improved discrete PSO algorithm is used to solve the optimization model.The simulation examples demonstrate that the proposed method is effective,and the optimization results can satisfy" @default.
- W2366441704 created "2016-06-24" @default.
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- W2366441704 date "2013-01-01" @default.
- W2366441704 modified "2023-09-23" @default.
- W2366441704 title "Optimal Sensor Placement Design Based on Improved Discrete PSO Algorithm" @default.
- W2366441704 hasPublicationYear "2013" @default.
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