NDLI: Optimal Adaptive System Health Monitoring and Diagnosis for Resource Constrained Cyber-Physical Systems

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Y. Yen, I.-L. Bastani, F.B. Tai, A.T. Chau, S.
Copyright Year	2009
Abstract	Cyber-physical systems (CPS) are complex net-centric hardware/software systems that can be applied to transportation, healthcare, defense, and other real-time applications. To meet the high reliability and safety requirements for these systems, proactive system health monitoring and management (HMM) techniques can be used. However, to be effective, it is necessary to ensure that the operation of the underlying HMM system does not adversely impact the normal operation of the system being monitored. In particular, it must be ensured that the operation of the HMM system will not lead to resource contentions that may prevent the system being monitored from timely completion of critical tasks. This paper presents an adaptive HMM system model that defines the fault diagnosis quality metrics and supports diagnosis requirement specifications. Based on the model, the sensor activation decision problem (SADP) is defined along with a steepest descent based heuristic algorithm to make the HMM configuration decisions that best satisfy the diagnosis quality requirements. Evaluation results show that the technique reduces the overall system resource consumption without adversely impacting the diagnosis capability of the HMM.
Starting Page	51
Ending Page	60
File Size	288033
Page Count	10
File Format	PDF
ISBN	9781424453757
ISSN	10719458
DOI	10.1109/ISSRE.2009.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive systems Monitoring Hidden Markov models Fault diagnosis Hardware Software systems Transportation Medical services Real time systems Application software optimal fault diagnosis System health monitoring adaptive systems
Content Type	Text
Resource Type	Article

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