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Volumn 33, Issue , 2008, Pages 359-367

Optimization of location and number of sensors for structural health monitoring using genetic algorithm

Author keywords

Genetic algorithm; Sensor layout optimization; Structural health monitoring

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CROSSOVER AND MUTATION; DAMAGE CLASSIFICATION; INFORMATION ENTROPY; MEAN ERRORS; OBJECTIVE FUNCTIONS; OPTIMIZATION FRAMEWORK; OPTIMUM NUMBER; ORDERS OF MAGNITUDE; REAL-CODED; SENSOR LAYOUT OPTIMIZATION; STANDARD DEVIATION; STATIC STRAIN; STRAIN PATTERNS; STRAIN SENSORS; STRUCTURAL DAMAGES; STRUCTURAL HEALTH; WEIGHTED SUM;

EID: 80053274046     PISSN: 08832900     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 1
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    • Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review
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    • (1996) Los Alamos National Laboratory Report LA-13070-MS
    • Doebling, S.W.1
  • 2
    • 36148964293 scopus 로고    scopus 로고
    • Review paper: Health monitoring of civil infrastructure
    • Chang, P. C., et. al. "Review paper: Health monitoring of civil infrastructure." Structural Health Monitoring Vol. 2, No. 3 257-267 (2003).
    • (2003) Structural Health Monitoring , vol.2 , Issue.3 , pp. 257-267
    • Chang, P.C.1
  • 6
    • 77953517800 scopus 로고    scopus 로고
    • Sensing and sensor optimization issues for structural health monitoring
    • mahattan Beach, CA, USA, Oct 10-12
    • Farrar, C.R., et. al. "Sensing and sensor optimization issues for structural health monitoring." 23rd Aerospace testing seminar, mahattan Beach, CA, USA, Oct 10-12, 2006.
    • (2006) 23rd Aerospace Testing Seminar
    • Farrar, C.R.1
  • 8
    • 2942536204 scopus 로고    scopus 로고
    • Optimal placement of sensors for structural health monitoring using improved genetic algorithms
    • Institute of Physics publishing
    • Guo, H. Y., et.al. "Optimal placement of sensors for structural health monitoring using improved genetic algorithms." Smart materials and structures, Institute of Physics publishing, 13(2004) 528-534.
    • (2004) Smart Materials and Structures , vol.13 , pp. 528-534
    • Guo, H.Y.1
  • 11
    • 0037207025 scopus 로고    scopus 로고
    • A genetic algorithm-based approach to calculate the optimal configuration of ultrasonic sensors in a 3D position estimation system
    • DOI 10.1016/S0921-8890(02)00292-0, PII S0921889002002920
    • Ray, P. K. and Mahajan, A. "A genetic algorithm based approach to calculate the optimal configuration of ultrasonic sensors in a 3D position estimation system." Robotics and Autonomous systems, 41(2002) 165-177. (Pubitemid 35432735)
    • (2002) Robotics and Autonomous Systems , vol.41 , Issue.4 , pp. 165-177
    • Ray, P.K.1    Mahajan, A.2
  • 12
    • 0035341432 scopus 로고    scopus 로고
    • Design of truss-structures for minimum weight using genetic algorithms
    • DOI 10.1016/S0168-874X(00)00057-3, PII S0168874X00000573
    • Deb, K. and Gulati, S. "Design of truss-structures for minimum weight using genetic algorithms." Finite elements in analysis and design. 37(2001) 447-465. (Pubitemid 32331237)
    • (2001) Finite Elements in Analysis and Design , vol.37 , Issue.5 , pp. 447-465
    • Deb, K.1    Gulati, S.2
  • 13
    • 0002449925 scopus 로고
    • Genetic algorithms; Computer programs that evolve in ways that resemble natural selection can solve complex problems even their creators do not fully understand
    • July
    • Holland, J. H. "Genetic algorithms; computer programs that evolve in ways that resemble natural selection can solve complex problems even their creators do not fully understand." Scientific American, July 1992.
    • (1992) Scientific American
    • Holland, J.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.