Download Prognostics and Health Management of Electronics by Michael G. Pecht PDF
By Michael G. Pecht
The 1st publication on Prognostics and well-being administration of ElectronicsRecently, the sector of prognostics for digital items has got elevated realization end result of the strength to supply early caution of procedure mess ups, forecast upkeep as wanted, and decrease lifestyles cycle expenses. in accordance with the subject's turning out to be curiosity between undefined, executive, and educational execs, this publication offers a street map to the present demanding situations and possibilities for study and improvement in Prognostics and wellbeing and fitness administration (PHM).The e-book starts off with a overview of PHM and the recommendations being built to allow a prognostics process for digital items and platforms. development in this starting place, the e-book then provides the cutting-edge in sensor structures for in-situ health and wellbeing and utilization tracking. subsequent, it discusses many of the types and algorithms that may be used in PHM. ultimately, it concludes with a dialogue of the possibilities in destiny research.Readers can use the data during this booklet to:Detect and isolate faultsReduce the prevalence of No Fault chanced on (NFF)Provide complicated caution of process failuresEnable condition-based (predictive) maintenanceObtain wisdom of load background for destiny layout, qualification, and root reason analysisIncrease approach availability via an extension of upkeep cycles and/or well timed fix actionsSubtract existence cycle expenses of kit from relief in inspection charges, down time, and inventoryPrognostics and healthiness administration of Electronics is an crucial reference for electric engineers in production, structures upkeep, and administration, in addition to layout engineers in all parts of electronics.
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Additional info for Prognostics and Health Management of Electronics
Pecht, “Methods for Binning and Density Estimation of Load Parameters for Prognostics and Health Management,” International Journal of Performability Engineering, Vol. 2,No. 2,pp. 149-161, April 2006. 24 Prognostics and Health Management of Electronics 58 V. Rouet and B. Foucher, “Development and Use of a Miniaturized Health Monitoring Device,” Proceedings of the IEEE International Reliability Physics Symposium, pp. 645-646,2004, 59 D. Searls, T. Dishongh, and P. Dujari, “A Strategy for Enabling Data Driven Product Decisions through a Comprehensive Understanding of the Usage Environment,” Proceedings of IPACK’Ol, Kauai, HI, 2001, July 8-13.
Gross, “Dynamic Stimulation Tool for Improved Performance Modeling and Resource Provisioning of Enterprise Servers,” Proceedings of the 14th IEEE International Symposium on Software Reliability Engineering (ISSRE’O3), Denver, CO, November 2003. 49. Gross, and A. Malekpour, “Advanced Pattern Recognition for Detection of Complex Software Aging Phenomena in Online Transaction Processing Servers,” Proceedings of the International Performance and Dependability Symposium, Washington, DC, June 23-26,2002.
The responses of printed circuit boards to vibration loading in terms of bending curvature were monitored using strain gauges. The interconnect strain values were then calculated from the measured printed circuit board (PCB) response and used in a vibration failure fatigue model for damage assessment. Damage estimates were accumulated using Miner’s rule after every mission and then used to predict the life consumed and remaining life. The methodology was demonstrated for remaining-life prognostics of a PCB assembly.