Verified Accendo Reliability episodes featuring Kirk Gray, primarily in discussion with Fred Schenkelberg. Links open the original Accendo episode pages.
This is the very first Speaking of Reliability Podcast on Accendo Reliability posted September 2, 2014. Fred and I have a short early discussion of the fundamental misunderstanding of the purpose of HALT concepts and how they influence reliability thinking.
Challenges working with subsystem and component suppliers when investigating reliability failures.
Connecting reliability engineering activity to field failures, cost, business objectives, and management support.
A reliability discussion applied to degradation and preservation of fruit and vegetables.
Why field data and automation should support—not replace—physical failure analysis.
How engineers learn failure mechanisms and why many failures involve interacting physical causes.
Tradeoffs between redundancy, backup systems, robustness, cost, and rare conditions.
Kirk and Fred discuss early uses and limitations of AI for reliability engineering guidance.
Why HALT planning must focus on what to stress, what to monitor, what defines failure, and how weaknesses will be improved.
Standard environmental tests versus discovery-focused accelerated stress testing.
When reliability engineering should enter the product-development process.
A discussion of reliability allocation and the limits of prediction-driven methods.
How a reliability engineer can learn the organization, failure history, culture, and decision-making priorities in a new role.
Reliability risks associated with rework, touch-up, and additional human handling.
Reliability implications of continuing product changes during development.
Using thermal HALT to discover marginal signal integrity and intermittent digital-system issues.
How independent failure analysis can improve discussions with component and subsystem suppliers.
Kirk and Fred discuss common objections to HALT and its value even late in product development.
Maintaining reliability through supplier, component, and manufacturing changes.
Kirk and Fred discuss AI-generated judgments about reliability experts and the bias that can enter those answers.
Fred and me have a discussion on whether Weibull analysis remains a practical and useful tool for understanding reliability data.
How return logistics and field-failure handling affect reliability learning and product improvement.