Integrated model-based and data-driven diagnosis of automotive antilock braking systems

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans

Volumn 40, Issue 2, 2010, Pages 321-336

  Luo, Jianhui ^a,b   Namburu, Madhavi ^c   Pattipati, Krishna R ^a   Qiao, Liu ^c   Chigusa, Shunsuke ^c  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b QUALTECH SYSTEMS INC   (United States)

^c TOYOTA TECHNICAL CENTER   (United States)

Author keywords

Antilock braking systems (ABSs); Data driven diagnosis; Model based diagnosis; Nonlinear systems; Parameter estimation; Residuals; Support vector machines (SVMs)

Indexed keywords

ACTIVE AREA; ANALYTICAL REDUNDANCY; ANTILOCK BRAKING SYSTEMS; COMPLEX SYSTEMS; DATA-DRIVEN; DIAGNOSIS MODEL; DIAGNOSTIC PERFORMANCE; DIAGNOSTIC PROBLEM; FAULT DETECTION AND ISOLATION; FAULT ISOLATION; GENERALIZED LIKELIHOOD RATIO TEST; HYBRID APPROACH; INTEGRATED MODELS; MODEL-BASED; MODEL-BASED DIAGNOSIS; MODEL-BASED FAULT DIAGNOSIS; NON-LINEAR OBSERVER; PARAMETRIC FAULT; PARITY EQUATION; RESIDUAL GENERATION; STATISTICAL HYPOTHESIS TESTING; SUBSET SELECTION;

BRAKES; COMBINES; ELECTRIC FAULT CURRENTS; FAILURE ANALYSIS; FAULT DETECTION; MAXIMUM LIKELIHOOD ESTIMATION; METAL ANALYSIS; NONLINEAR ANALYSIS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; STATISTICAL TESTS; SUPPORT VECTOR MACHINES;

NONLINEAR EQUATIONS;

EID: 77249093941     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2009.2034481     Document Type: Article

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