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baiyuefei

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miller5356: 金币+5, ★★★★★最佳答案 2016-03-30 17:45:48
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Accession number:

20160501878231

Title:

Optimal sensor placement based on improved discrete PSO algorithm

Authors:

Ma, Ling1 ; Li, Hai-Jun1 ; Wang, Cheng-Gang2 ; Li, Guo-Feng3

Author affiliation:

1Department of Weapon Science and Technology, Naval Aeronautical and Astronautical University, Yantai; Shandong, China

2Department of Basic Experiment, Naval Aeronautical and Astronautical University, Yantai; Shandong, China

3Brigade of Missile Technique, PLA No.92154 Troops, Yantai; Shandong, China

Source title:

Tien Tzu Hsueh Pao/Acta Electronica Sinica

Abbreviated source title:

Tien Tzu Hsueh Pao

Volume:

43

Issue:

12

Issue date:

December 1, 2015

Publication year:

2015

Pages:

2408-2413

Language:

Chinese

ISSN:

03722112

CODEN:

TTHPAG

Document type:

Journal article (JA)

Publisher:

Chinese Institute of Electronics

Abstract:

Optimal sensor placement is foundation and guarantee for design of (Prognostics and Health Management, PHM) system for avionics. The fault-sensor dependency matrix is improved which considers the failure probability of the sensors firstly. Based on this, the constraint optimization model is established and the improved discrete PSO algorithm is used to solve the problem. The algorithm designs the fitness function by the characteristics of optimal sensor placement, and the inertia weight is adjusted adaptively based on the swarm's premature degree which can avoid algorithm limits to local extremum and accelerate the convergence speed. The simulation examples demonstrate that the proposed method is effective, and the optimization results meet all the testability index requirements of system, and it can provide effective direction to the optimal sensor placement of PHM system for avionics. © 2015, Chinese Institute of Electronics. All right reserved.

Number of references:

9

Main heading:

Optimization

Controlled terms:

Algorithms - Avionics - Constrained optimization - Particle swarm optimization (PSO) - Testing

Uncontrolled terms:

Constraint optimizations - Failure Probability - Fitness functions - Optimal sensor placement - Prognostics and health managements - PSO algorithms - Simulation example - Testability

Classification code:

715 Electronic Equipment, General Purpose and Industrial - 921.5 Optimization Techniques - 961 Systems Science

DOI:

10.3969/j.issn.0372-2112.2015.12.010

Database:

Compendex

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