Reliability and Stupidity: Mistakes in Reliability Engineering and How to Avoid Them is an aptly named chapter in Jonathan Swingler’s book that discusses what a design engineer should understand about ...

Demand for lower defect rates and higher yields is increasing, in part because chips are now being used for safety- and mission-critical applications, and in part because it’s a way of offsetting ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Circuit aging is emerging as a mandatory design concern across a swath of end markets, particularly in markets where advanced-node chips are expected to last for more than a few years. Some chipmakers ...

How can systems be designed to guard against unexpected downtime? How does system reliability impact product development? In what ways can artificial intelligence and machine learning improve system ...

ABSTRACT Reliability is an important engineering requirement for consistently delivering acceptable product performance through time. As time progresses, the product may fail due to time-dependent ...

Bayesian methods have emerged as a robust framework for assessing system reliability in environments marked by uncertainty and limited data availability. By incorporating prior knowledge and updating ...

Opinions expressed by Digital Journal contributors are their own. “Ensuring safety on the road is not just a duty; it’s a commitment to protecting lives and fostering trust in automotive technology,” ...

The Engineering Design program is intended for students whose academic/scientific interests aren’t aligned with an existing engineering discipline or limited to one engineering discipline. The ideal ...

AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data ...