‘SMART’ ELECTRONIC SYSTEMS FOR CONDITION-BASED HEALTH MANAGEMENT

Author(s):  
N. Kelkar ◽  
A. Dasgupta ◽  
M. Pecht ◽  
I. Knowles ◽  
M. Hawley ◽  
...  
2013 ◽  
Vol 694-697 ◽  
pp. 872-875
Author(s):  
Jiang Chang ◽  
Fang Wei

Reliability is an important issue to consider for mechanical systems. The state of art is regular checkup and maintenance to ensure normal operations. This is not good enough for safety-critical systems like gearboxes in vehicles and helicopters because the risk of system failure still exists, let alone the manpower and monetary cost required. Prognostics and health management (PHM) was first raised by the U.S. armed force, which should ideally be able to predict faults and schedule maintenance only when necessary by monitoring the system condition. In this paper, inspired by the idea of Built-In Self Test (BIST) in electronic systems, we propose a novel framework to fulfill the task of prognostics and health management with a set of smart sensors, consisting of embedded sensing elements, wireless communication modules and micro-controllers. Both the significance and challenges of the framework are discussed.


2014 ◽  
Vol 602-605 ◽  
pp. 2229-2232 ◽  
Author(s):  
Wen Xue Yang ◽  
Zhe Chen ◽  
Feng Yang

Recently, the field of Prognostics and Health Management (PHM) for electronic products and systems has received increasing attention due to the potentialities to provide early warning of system failures, reduce life cycle costs, and forecast maintenance as needed. This paper introduces the sensors and their sensor technologies. The required attributes of sensors for the development for PHM of electronics are discussed. Finally, their trends in sensor systems are presented.


Author(s):  
Andrew Hess ◽  
Peter Frith ◽  
Eva Suarez

The desire and need for real predictive prognostics capabilities have been around for as long as man has operated complex and expensive machinery. There has been a long history of developing and implementing various degrees of prognostic and predictive useful life remaining capabilities. Stringent Diagnostic, Prognostic, and Health Management capability requirements are being placed on many of the new platform applications. While life usage accounting and fault detection / isolation effectiveness, with low false alarm rates, continue to improve on these new applications; prognostics requirements are even more ambitious and present very significant challenges to the system design teams. Though advanced life prediction and prognostic capabilities are being addressed for many mechanical and electronic systems; there are some unique challenges and issues associated with modern propulsion system applications. This paper will explore some of these design challenges and issues; discuss the various degrees of prognostic capabilities; address potential development methodologies; and draw heavily on lessons learned from previous prognostic development efforts.


2011 ◽  
Vol 474-476 ◽  
pp. 1195-1200 ◽  
Author(s):  
Yong Guan ◽  
Sheng Zhen Jin ◽  
Li Feng Wu ◽  
Wei Pan ◽  
Yong Mei Liu ◽  
...  

The high reliable embedded system in rugged environment has huge potential application value. There are 34% faults in electronic system by the cause of the fault of power system. So the prognostics mechanism and the algorithm of power health has been a core support technology in applications. the fault and the deterioration and healing model of the power system in rugged environment is constructed by analysis of FFP, DFP and healing(alleviation)for improving the reliability, the usability and the maintainability. And many questions such as fixed-time maintenance and back-down maintenance depending on conventional statistical method are solved fundamentally. Finally, the prognostics and health management methods of power health in domestic and foreign presently are contrasted and analyzed.


Author(s):  
Patrick W. Kalgren ◽  
Mark Baybutt ◽  
Antonio Ginart ◽  
Chris Minnella ◽  
Michael J. Roemer ◽  
...  

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