Applied Intelligence

, Volume 37, Issue 1, pp 60–79 | Cite as

Monitoring of complex systems of interacting dynamic systems

  • Michael E. Cholette
  • Jianbo Liu
  • Dragan Djurdjanovic
  • Kenneth A. Marko


Increases in functionality, power and intelligence of modern engineered systems led to complex systems with a large number of interconnected dynamic subsystems. In such machines, faults in one subsystem can cascade and affect the behavior of numerous other subsystems. This complicates the traditional fault monitoring procedures because of the need to train models of the faults that the monitoring system needs to detect and recognize. Unavoidable design defects, quality variations and different usage patterns make it infeasible to foresee all possible faults, resulting in limited diagnostic coverage that can only deal with previously anticipated and modeled failures. This leads to missed detections and costly blind swapping of acceptable components because of one’s inability to accurately isolate the source of previously unseen anomalies. To circumvent these difficulties, a new paradigm for diagnostic systems is proposed and discussed in this paper. Its feasibility is demonstrated through application examples in automotive engine diagnostics.


Fault detection and diagnosis Distributed anomaly detection Automotive engine diagnostics 


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Michael E. Cholette
    • 1
  • Jianbo Liu
    • 2
  • Dragan Djurdjanovic
    • 1
  • Kenneth A. Marko
    • 3
  1. 1.University of Texas at AustinAustinUSA
  2. 2.Michigan State UniversityLansingUSA
  3. 3.University of MichiganAnn ArborUSA

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