Sensors, No. 10, pp.5774-5797, 2010

Sensor Systems for Prognostics and Health Management

Shunfeng Cheng and Michael H. Azarian
Center for Advanced Life Cycle Engineering (CALCE),
University of Maryland
College Park, MD 20742 USA

Michael Pecht
Center for Advanced Life Cycle Engineering (CALCE),
University of Maryland
College Park, MD 20742 USA
and
Prognostics and Health Management Center
City University of Hong Kong
Hong Kong, China

 

Abstract:

Prognostics and health management (PHM) is an enabling discipline consisting of technologies and methods to assess the reliability of a product in its actual life cycle conditions to determine the advent of failure and mitigate system risk. Sensor systems are needed for PHM to monitor environmental, operational, and performance-related characteristics. The gathered data can be analyzed to assess product health and predict remaining life. In this paper, the considerations for sensor system selection for PHM applications, including the parameters to be measured, the performance needs, the electrical and physical attributes, reliability, and cost of the sensor system, are discussed. The state-of-the-art sensor systems for PHM and the emerging trends in technologies of sensor systems for PHM are presented.

Index Terms—Sensor system; failure modes; mechanisms and effects analysis (FMMEA); Prognostics and health management (PHM)

Complete article is available to CALCE Consortium Members.



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