Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering

Structural Control and Health Monitoring

Volumn 18, Issue 5, 2011, Pages 554-573

  Papadimitriou, Costas ^a   Fritzen, Claus Peter ^b   Kraemer, Peter ^b   Ntotsios, Evangelos ^a  

^a UNIVERSITY OF THESSALY   (Greece)

^b UNIVERSITY OF SIEGEN   (Germany)

Author keywords

dynamic analysis; Kalman filter; life prediction; spectral methods; stochastic fatigue

Indexed keywords

CHAIN MODELS; CONSTANT AMPLITUDE; DAMAGE ACCUMULATION; DAMAGE RULE; EXPECTED FATIGUE DAMAGE; FATIGUE METHOD; FREQUENCY DOMAINS; KALMAN-FILTERING; LIFE PREDICTIONS; METALLIC STRUCTURES; MULTI DEGREE-OF-FREEDOM; S-N FATIGUE CURVES; SPECTRAL METHODS; STOCHASTIC FATIGUE; STRESS PROCESS; STRESS RANGE; STRUCTURAL LOCATIONS; TRUSS MODEL; UNIAXIAL STRESS; VIBRATION SENSORS;

BODY SENSOR NETWORKS; DYNAMIC ANALYSIS; KALMAN FILTERS; POWER SPECTRAL DENSITY; PROBABILITY DISTRIBUTIONS; SENSOR NETWORKS; SENSORS; SPECTRAL DENSITY; SPECTROSCOPY; STOCHASTIC SYSTEMS; VIBRATION ANALYSIS;

FATIGUE DAMAGE;

EID: 80051519014     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.395     Document Type: Article

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