Sensors 2010, 10(6), 5774-5797; doi:10.3390/s100605774
Review

Sensor Systems for Prognostics and Health Management

1 Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USA 2 Prognostics and Health Management Center, City University of Hong Kong, Hong Kong
* Author to whom correspondence should be addressed.
Received: 20 April 2010; in revised form: 27 May 2010 / Accepted: 28 May 2010 / Published: 8 June 2010
(This article belongs to the Section Physical Sensors)
PDF Full-text Download PDF Full-Text [298 KB, uploaded 8 June 2010 11:07 CEST]
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.
Keywords: sensor system; failure modes; mechanisms and effects analysis (FMMEA); Prognostics and health management (PHM)

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Cheng, S.; Azarian, M.H.; Pecht, M.G. Sensor Systems for Prognostics and Health Management. Sensors 2010, 10, 5774-5797.

AMA Style

Cheng S, Azarian MH, Pecht MG. Sensor Systems for Prognostics and Health Management. Sensors. 2010; 10(6):5774-5797.

Chicago/Turabian Style

Cheng, Shunfeng; Azarian, Michael H.; Pecht, Michael G. 2010. "Sensor Systems for Prognostics and Health Management." Sensors 10, no. 6: 5774-5797.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert