Data collection and analysis facilitates an understanding field operational use profiles and environmental stress data and is critical for ensuring design/process robustness. Collection and analysis of failure data to root failure cause identification and mitigation is critical to ensure product/process reliability growth and success over its life cycle.
Quanterion Solutions Hosts Reliability Fall 2021 Open Training Sessions
Fall 2021 Open Training is now closed for registrations. Discover Quanterion’s Winter 2021 Open Training.
Quanterion Solutions is offering reliability engineering open training this fall on Tuesday, Sept. 14 through Thursday, Sept. 16, 2021. The hands-on training will be hosted at the San Diego Training and Conference Center in San Diego, CA.
Attendees can choose between two course… Read More
Lunchtime Learning Series
The “Lunchtime Learning” series is a group of short course tutorials are aimed at providing a basic introduction to a variety of topics in which our community members have expressed an interest. Read More
Probability and Statistics for Reliability: An Introduction
Painful as it is to many of us, the generally desirable product characteristicReliability is heavily dependent on Probability and Statistics for measuring and describing its characteristics. This edition of Reliability Ques will only be the tip of the iceberg in this regard. Let’s start with a few basics: Read More
Which Design is More Reliable? Weibull Provides Answers!
Weibull Analysis is often used to analyze field or test failure data to understand how items are failing and what specific underlying failure distribution is being followed by failures that occur. One of our staff engineers was recently responsible for making a vendor recommendation for a limited life item that had a specified 5% minimum… Read More