Power Supply Prognostics and Health Management of High Reliability Electronic Systems in Rugged Environment

Abstract:

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.

• Periodical: Key Engineering Materials (Volumes 474-476)
• Pages: 1195-1200
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.474-476.1195
• Online since: April 2011
• Authors: Yong Guan, Sheng Zhen Jin, Li Feng Wu, Wei Pan, Yong Mei Liu, Jie Zhang
• Keywords: High Reliability, Power Supply, Prognostics and Health Management (PHM)

References

[1] Information on http: /www. cps800. com/bbs/showpost. asp?id=1426.

[2] Information on http: /www. cps800. com/news/9595. htm.

[3] Information on http: /www. cps800. com/news/9733. htm.

[4] Information on http: /www. sina. com. cn.

[5] Information on http: /www. eutelsat. com/news/press-releases. html.

[6] Kalgren, Patrick W. Defining PHM, a lexical evolution of maintenance and logistics, AUTOTESTCON, 2007, pp.353-358.

DOI: 10.1109/autest.2006.283685

[7] Hess A, Fila L.: Prognostics, from the need to reality-from the fleet users a PHM system designer/ developers perspectives, IEEE, 2002 (6), pp.2791-2797.

DOI: 10.1109/aero.2002.1036118

[8] Johnson S B.: Introduction to system health engineering and management in aerospace, First International Forum on Integrated System Health Engineering and Management in Aerospace, November 7-10, 2005, pp.234-239.

[9] Sandborn, Peter A，Wilkinson, Chris: A maintenance planning and business case development model for the application of prognostics and health management (PHM) to electronic systems, Microelectronics Reliability, 2007, 47(12), p.1889-(1901).

DOI: 10.1016/j.microrel.2007.02.016

[10] Kiri Feldman, Taoufik Jazouli, Peter Sandbor: A methodology for determining the return on investment associated with prognostics and health management, IEEE Trans. on Reliability, 2009, 58(2), pp.305-316.

DOI: 10.1109/tr.2009.2020133

[11] Jie Gu, Michael Pecht: Prognostics and health management using physics-of-fault, Annual Reliability and Maintainability Symposium, 2008, pp.481-487.

DOI: 10.1109/rams.2008.4925843

[12] Kacprzynski G J, Hess A J: Health management system design: development, simulation and cost/benefit optimization, IEEE Aerospace Conference, 2002, pp.1132-1137.

DOI: 10.1109/aero.2002.1036148

[13] K. Keller, K. Swearingen, J. Sheahan, et al.: Aircraft electrical power systems prognostics and health management, IEEE Aerospace Conf. Big Sky, MT, 2006, pp.118-123.

DOI: 10.1109/aero.2006.1656087

[14] Ynagming Guo, Xiaobin Cai, Baozhen Zhang et al.: Prognostics and health management technology for new-gener-ation weapon, Computer Engineering and Applications, 2008, 44(13), pp.199-202.

[15] Shengkui Zeng, Michael G P, Ji Wu: Status and Perspectives of Prognostics and Health Management Technologies, Acta Aeronautica et Astronautica Sinica, 2006, 26(5), pp.626-632.

[16] Bo Sun, Rui Kang, Jinsong Xie: Research and application of the prognostic and health management system, Journal of Systems Engineering and Electronics, 2007, 29(10), pp.1762-1767.

[17] R. Singer, K. Gross, J. Herzog, R. King, S. Wegerich: Model-based nuclear power plant monitoring and fault detection: Theoretical foundations, Proc. Intelligent System Application to Power Systems Conference, July. 1997, pp.60-65.

[18] Li, Fan, Upadhyaya, Belle R.: Model-based monitoring and fault diagnosis of fossil power plant process units using Group Method of Data Handling, ISA Transactions, 2009, 48(2), pp.213-219.

DOI: 10.1016/j.isatra.2008.10.014

[19] Kalgren, Patrick W., Baybutt, Mark, Ginart, Antonio et. ac.: Application of prognostic health management in digital electronic systems, IEEE Aerospace Conference Proceedings , Big Sky, MT, United states, March 2007, pp.1-9.

DOI: 10.1109/aero.2007.352883

[20] Intel Corporation, the method, the equipment and the system using in the power fault prognostic, China Patent 881056073(2008).

[21] Rolf Orsagh, Douglas Brown, et.: Prognostic health management for avionics system power supplies, IEEE Aerospace Conference Proceedings, Big Sky, MT, United States, March 2005, pp.453-457.

DOI: 10.1109/aero.2005.1559663

[22] Amine Lahyani, Pascal Venet, Guy Grellet, and Pierre-Jean Viverge: Fault Prediction of Electrolytic Capacitors During Operation of a Switch mode Power Supply, IEEE TRANSACTIONS ON POWER ELECTRONICS, 1998, 13(6), pp.1199-1207.

DOI: 10.1109/63.728347

[23] Dimitry Gorinevsky, Stephen Boyd, Scott Poll: Estimation of faults in DC electrical power system, American control conference, June, 2009, ST. LOUIS, MO, pp.1-6.

DOI: 10.1109/acc.2009.5160301

[24] Yong Guan. Power fault automatic prognostics analysis system, China software copyright, 2010R11SOO3489 (2010).

[25] Yong Guan. One kind of power fault automatic prognostics system, China Patent 2010201056868(2010).