Improving digital system diagnostics through prognostic and health management (PHM) technology

IEEE Transactions on Instrumentation and Measurement

Volumn 58, Issue 2, 2009, Pages 255-262

  Baybutt, Mark ^a,b   Minnella, Chris ^a   Ginart, Antonio E ^a   Roemer, Michael J ^a,c  

^a IMPACT TECHNOLOGIES LLC   (United States)

^b Flowtonics LLC   (United States)

^c ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Accelerated aging; Automated reasoning algorithms; Digital system fault diagnosis; Digital system testing; Microprocessors diagnostics; Physics of failure (PoF) modeling; Prognostic and health management (PHM)

Indexed keywords

AUTOMATION; FEATURE EXTRACTION; HEALTH; MICROPROCESSOR CHIPS; PROBLEM SOLVING; SAFETY ENGINEERING; SIGNAL PROCESSING; SYSTEM THEORY;

ACCELERATED AGING; AUTOMATED REASONING ALGORITHMS; DIGITAL SYSTEM FAULT DIAGNOSIS; DIGITAL SYSTEM TESTING; MICROPROCESSORS DIAGNOSTICS; PHYSICS-OF-FAILURE (POF) MODELING; PROGNOSTIC AND HEALTH MANAGEMENT (PHM);

AUTOMATA THEORY;

EID: 60149093867     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2008.2005966     Document Type: Article

References (8)

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8. M. Baybutt, C. Minnella, A. Ginart, P. Kalgren, and M. Roemer, "Improving digital system diagnostics through prognostic and health management (PHM) technology," in Proc. AUTOTESTCON, Baltimore, MD, Sep. 17-20, 2007, pp. 537-546.