технические науки

техническая литература

электроника

The first book on Prognostics and Health Management of Electronics Recently, the field of prognostics for electronic products has received increased attention due to the potential to provide early warning of system failures, forecast maintenance as needed, and reduce life cycle costs. In response to the subject's growing interest among industry, government, and academic professionals, this book provides a road map to the current challenges and opportunities for research and development in Prognostics and Health Management (PHM). The book begins with a review of PHM and the techniques being developed to enable a prognostics approach for electronic products and systems. building on this foundation, the book then presents the state of the art in sensor systems for in-situ health and usage monitoring. Next, it discusses the various models and algorithms that can be utilized in PHM. Finally, it concludes with a discussion of the opportunities in future research. Readers can use the information in this book to: Detect and isolate faults Reduce the occurrence of No Fault Found (NFF) Provide advanced warning of system failures Enable condition-based (predictive) maintenance Obtain knowledge of load history for future design, qualification, and root cause analysis Increase system availability through an extension of maintenance cycles and/or timely repair actions Subtract life cycle costs of equipment from reduction in inspection costs, down time, and inventory Prognostics and Health Management of Electronics is an indispensable reference for electrical engineers in manufacturing, systems maintenance, and management, as well as design engineers in all areas of electronics.

историческая литература

история любви

исторические личности

романтические истории

исторические романы

серьезное чтение

об истории серьезно

Россия XVIII века

Prognostics and Health Management of Electronics

Lead-free Electronics provides guidance on the design and use of lead-free electronics as well as technical and legislative perspectives. All the complex challenges confronting the elec-tronics industry are skillfully addressed: * Complying with state legislation * Implementing the transition to lead-free electronics, including anticipating associated costs and potential supply chain issues * Understanding intellectual property issues in lead-free alloys and their applications, including licensing and infringement * Implementing cost effective manufacturing and testing * Reducing risks due to tin whiskers * Finding lead-free solutions in harsh environments such as in the automotive and telecommunications industries * Understanding the capabilities and limitations of conductive adhesives in lead-free interconnects * Devising solutions for lead-free, flip-chip interconnects in high-performance integrated circuit products Each chapter is written by leading experts in the field and carefully edited to ensure a consistent approach. Readers will find all the latest information, including the most recent data on cyclic thermomechanical deformation properties of lead-free SnAgCu alloys and a comparison of the properties of standard Sn-Pb versus lead-free alloys, using the energy partitioning approach. With legislative and market pressure to eliminate the use of lead in electronics manufacturing, this timely publication is essential reading for all engineers and professionals in the electronics industry.

фэнтези

историческая фантастика

попаданцы

Lead-free Electronics

An indispensable guide for engineers and data scientists in design, testing, operation, manufacturing, and maintenance A road map to the current challenges and available opportunities for the research and development of Prognostics and Health Management (PHM), this important work covers all areas of electronics and explains how to: assess methods for damage estimation of components and systems due to field loading conditions assess the cost and benefits of prognostic implementations develop novel methods for in situ monitoring of products and systems in actual life-cycle conditions enable condition-based (predictive) maintenance increase system availability through an extension of maintenance cycles and/or timely repair actions; obtain knowledge of load history for future design, qualification, and root cause analysis reduce the occurrence of no fault found (NFF) subtract life-cycle costs of equipment from reduction in inspection costs, downtime, and inventory Prognostics and Health Management of Electronics also explains how to understand statistical techniques and machine learning methods used for diagnostics and prognostics. Using this valuable resource, electrical engineers, data scientists, and design engineers will be able to fully grasp the synergy between IoT, machine learning, and risk assessment. 

книги о войне

современная русская литература

Великая Отечественная война

семейные истории

народная память

след в истории

Prognostics and Health Management of Electronics. Fundamentals, Machine Learning, and the Internet of Things

музыка

Без серии

Michael G. Pecht