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Model-based Health Monitoring of Hybrid Systems pp 1–29Cite as

Health Monitoring of Engineering Systems

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Abstract

Safety and reliability are increasingly important for modern complex engineering systems. However, no matter how good the system design is, system components deteriorate over time due to certain stress or load in operation. As a consequence, sophisticated and advanced techniques to detect and isolate faults in the monitored system become urgent needs in industry. This chapter aims to introduce the basic tasks of fault diagnosis and failure prognosis as well as their classifications. In the following of this chapter, recent developments in the field of fault diagnosis and prognosis are discussed, followed by the organization of the book.

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Authors and Affiliations

  1. School of Electrical and Electronic Engine, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore

    Danwei Wang, Ming Yu & Chang Boon Low

  2. Department of Mechanical Engineering, Ben-Gurion University of the Negev, Soref Building, 84105, Beer Sheva, Israel

    Shai Arogeti

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  1. Danwei Wang
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  2. Ming Yu
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Correspondence to Danwei Wang .

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Wang, D., Yu, M., Low, C., Arogeti, S. (2013). Health Monitoring of Engineering Systems. In: Model-based Health Monitoring of Hybrid Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7369-5_1

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