The main reason for the premature breakdown of today's electronic products (computers, cars, tools, appliances, etc.) is the failure of the components used to build these products. Today professionals are looking for effective ways to minimize the degradation of electronic components to help ensure longer-lasting, more technically sound products and systems. This practical book offers engineers specific guidance on how to design more reliable components and build more reliable electronic systems. Professionals learn how to optimize a virtual component prototype, accurately monitor product reliability during the entire production process, and add the burn-in and selection procedures that are the most appropriate for the intended applications. Moreover, the book helps system designers ensure that all components are correctly applied, margins are adequate, wear-out failure modes are prevented during the expected duration of life, and system interfaces cannot lead to failure.

Practical Reliability of Electronic Equipment and Products will help electrical, electronics, manufacturing, mechanical, systems design, and reliability engineers; electronics production managers; electronic circuit designers; and upper-level undergraduate and graduate students in these disciplines.

This book explains reliability techniques with examples from electronics design for the benefit of engineers. It presents the application of de-rating, FMEA, overstress analyses and reliability improvement tests for designing reliable electronic equipment. Adequate information is provided for designing computerized reliability database system to support the application of the techniques by designers. Pedantic terms and the associated mathematics of reliability engineering discipline are excluded for the benefit of comprehensiveness and practical applications. This book offers excellent support for electrical and electronics engineering students and professionals, bridging academic curriculum with industrial expectations.

In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry. AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. Featuring coverage on a broad range of topics such as data collection, fault tolerance, and health prognostics, this book is ideally designed for reliability engineers, electronic engineers, researchers, scientists, students, and faculty members seeking current research on the advancement of reliability analysis using AI.

In 2012, the National Defense Authorization Act (NDAA), section 818, outlined new requirements for industry to serve as the lead in averting counterfeits in the defense supply chain. Subsequently, the House Armed Services Committee, in its report on the Fiscal Year 2016 NDAA, noted that the pending sale of IBM's microprocessor fabrication facilities to Global Foundries created uncertainty about future access of the United States to trusted state-of-the-art microelectronic components and directed the Comptroller General to assess the Department of Defense's (DoD's) actions and measures to address this threat. In this context, the National Academies of Sciences, Engineering, and Medicine convened a workshop to facilitate an open dialogue with leading industry, academic, and government experts to (1) define the current technological and policy challenges with maintaining a reliable and secure source of microelectronic components; (2) review the current state of acquisition processes within the Air Force for acquiring reliable and secure microelectronic components; and (3) explore options for possible business models within the national security complex that would be relevant for the Air Force acquisition community. This publication summarizes the results of the workshop.