Prognostics using Kalman-Filter models and metrics for risk assessment in BGAs under shock and vibration loads

Proceedings - Electronic Components and Technology Conference

Volumn , Issue , 2010, Pages 889-901

  Lall, Pradeep ^a   Lowe, Ryan ^a   Goebel, Kai ^b  

^a AUBURN UNIVERSITY   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARRAY PACKAGES; BAYESIAN FRAMEWORKS; ELECTRONIC ASSEMBLIES; EXPERIMENTAL DATA; FUNCTIONAL SYSTEMS; HEALTH MANAGEMENT; HIGH RELIABILITY; INELASTIC STRAIN ENERGY; KALMAN FILTER MODEL; LEAD-FREE; MEAN ABSOLUTE PERCENTAGE ERROR; MODEL PREDICTION; PERFORMANCE EVALUATION; RATE OF CHANGE; RELATIVE ACCURACY; RESIDUAL LIFE; SECOND ORDERS; SHOCK AND VIBRATION; STANDARD DEVIATION; STATE SPACE VECTORS; STATE VARIABLES; STRUCTURAL DAMAGES; VIBRATION TEST; VIBRATION TESTING;

CONDITION MONITORING; ELECTRON ENERGY LOSS SPECTROSCOPY; HEALTH RISKS; RISK MANAGEMENT; RISK PERCEPTION; SPEECH PROCESSING; STRUCTURAL ANALYSIS; VECTOR SPACES;

RISK ASSESSMENT;

EID: 77955200767     PISSN: 05695503     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ECTC.2010.5490691     Document Type: Conference Paper

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