A probabilistic detectability-based sensor network design method for system health monitoring and prognostics

Journal of Intelligent Material Systems and Structures

Volumn 26, Issue 9, 2015, Pages 1079-1090

  Wang, Pingfeng ^a   Youn, Byeng D ^b   Hu, Chao ^c   Ha, Jong Moon ^b   Jeon, Byungchul ^b  

^a Wichita State University   (United States)

^b Seoul National University   (South Korea)

^c MEDTRONIC INC   (United States)

Author keywords

embedded intelligence; optimization; Structural health monitoring

Indexed keywords

ELECTRIC WINDINGS; GENETIC ALGORITHMS; INTEGER PROGRAMMING; MONITORING; NONLINEAR PROGRAMMING; OPTIMIZATION; POWER TRANSFORMERS; PROGRAM DIAGNOSTICS; SAFETY ENGINEERING; SENSOR NETWORKS; STRUCTURAL HEALTH MONITORING; STRUCTURAL OPTIMIZATION;

EMBEDDED INTELLIGENCE; MIXED-INTEGER NONLINEAR PROGRAMMING; PHYSICS-BASED SIMULATION; PROGNOSTICS AND HEALTH MANAGEMENTS; SENSOR NETWORK DESIGN; SYSTEM HEALTH MONITORING; TECHNOLOGICAL ADVANCES; TRANSFORMER SYSTEMS;

INFORMATION MANAGEMENT;

EID: 84930411086     PISSN: 1045389X     EISSN: 15308138     Source Type: Journal    
DOI: 10.1177/1045389X14541496     Document Type: Conference Paper

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