Proceeding for 62nd Meeting of the Society for Machinery Failure Prevention Technology (MFPT), Virginia Beach, VA, May 2008


Larry Thomas
ePrognostic Systems Co

Shunfeng Cheng
Myra Torres
Michael Pecht
Center for Advanced Life Cycle Engineering (CALCE)
University of Maryland
College Park, MD 20742, USA


A new device for monitoring the environmental and operational stress profiles of products used in a wide range of environmental conditions has been developed. This device, as small as a typical credit card, is capable of recording and transmitting environmental and operational stress data. Prognostic and health monitoring models and algorithms can use this data to do prognostics of the monitored systems. This paper presents details of the construction and application of this monitoring device. Data of a field test are analyzed by sequential probability ratio test to demonstrate the failure prediction methodology.

Index Terms: Prognostic and health monitoring; ePrognostic sensor system

Complete article is available to CALCE PHM Consortium Members.

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