Information-theoretic syndrome evaluation, statistical root-cause analysis, and correlation-based feature selection for guiding board-level fault diagnosis

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Volumn 34, Issue 6, 2015, Pages 1014-1026

  Ye, Fangming ^a   Zhang, Zhaobo ^c   Chakrabarty, Krishnendu ^b   Gu, Xinli ^c  

^a QUALCOMM INC   (United States)

^b Duke University   (United States)

^c HUAWEI TECHNOLOGIES   (United States)

Author keywords

Board level; diagnosis; evaluation; functional failure; information theory; machine learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIAGNOSIS; DISEASES; FAILURE ANALYSIS; FEATURE EXTRACTION; INFORMATION THEORY; LEARNING SYSTEMS;

BOARD-LEVEL; DISCRIMINATIVE ABILITY; EVALUATION; EVALUATION AND ANALYSIS; FEATURE SELECTION METHODS; FUNCTIONAL FAILURE; ROOT CAUSE ANALYSIS; ROOT CAUSE IDENTIFICATION;

FAULT DETECTION;

EID: 84930505340     PISSN: 02780070     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCAD.2015.2399438     Document Type: Article

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