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Smart optical-fiber structure monitoring based on granular computing

Guan LU, Dakai LIANG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4, Pages 462-465 doi: 10.1007/s11465-009-0073-2

Abstract: Using an optic fiber self-diagnosing system in health monitoring has become an important direction of smart materials and structure research. The buried optic fiber sensor can be used to test the parameters of the composite material. The granular computing method can reach the requirement of damage detection by analyzing digital signals and character signals of the smart structure at the same time. The paper investigates an optic fiber smart layer and presents a method for realizing optic fiber smart structure monitoring and damage detection by using granular computing. After the analysis, it is presumed that optic fiber smart structure monitoring based on granular computation can identify the damage from complex signals.

Keywords： smart material and structure GrC optical fiber sensor rough set clustering algorithm