PDL Abstract

Diagnosis in Automotive Systems: A Survey

Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-11-110. June 2011.

Patrick E. Lanigan, Soila Kavulya, Priya Narasimhan, Thomas E. Fuhrman*, Mutasim A. Salman*

Electrical and Computer Engineering
Carnegie Mellon University
Pittsburgh, PA 15213

* General Motors Research & Development

Modern automotive electronic control systems are distributed, networked embedded systems. Diagnostic routines implemented on individual components cannot adequately identify the true cause of anomalous behavior because their view is restricted to component-local information. A growing trend in diagnostics research for these systems is to use system-level approaches to diagnose anomalous behavior and provide a consistent, global view of the system's health. Current approaches are typically motivated by a desire to improve either off-line maintenance or run-time safety.

KEYWORDS: diagnosis, automotive, safety, agreement, consensus, maintenance

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