
Using highly accelerated stress screening to identify supplier defects before the product is shipped saves time and money.
[Read more…]Your Reliability Engineering Professional Development Site
A listing in reverse chronological order of articles by:
by Semion Gengrinovich Leave a Comment
Using highly accelerated stress screening to identify supplier defects before the product is shipped saves time and money.
[Read more…]by Semion Gengrinovich Leave a Comment
The history of Design of Experiments (DOE) can be traced back to the work of various individuals, including Genichi Taguchi, a Japanese engineer and statistician. Taguchi made significant contributions to the field, particularly in the area of robust design, which aimed to improve the quality of products and processes. His work was influenced by the need for quality improvement in post-World War II Japan. Taguchi’s methodology, known as the Taguchi methods, was based on the concept of “robust parameter design,” which aimed to make processes and products insensitive to environmental factors or other variables that were difficult to control.
[Read more…]by Christopher Jackson Leave a Comment
Because the people that make them lie.
Not ‘obvious’ lying where lightbulb manufacturers calculate one reliability number and deliberately choose to put another number on their lightbulb packaging. But ‘insidious’ lying where they deliberately choose to measure the wrong thing to get a better number.
[Read more…]by Semion Gengrinovich Leave a Comment
Designing a proper test for the life of an electromechanical compoent involves several steps and considerations. Here are six steps that provides an outline to create a meaningful component life test.
[Read more…]by Debasmita Mukherjee 1 Comment
by Debasmita Mukherjee Leave a Comment
A one-sample t-test is a statistical test to determine if the sample mean differs significantly from a known or hypothesized population mean (expected value). It is commonly used when we have a single sample and want to compare its average to an expected value.
[Read more…]by Semion Gengrinovich Leave a Comment
Accelerated life testing (ALT) is a method used to enhance product reliability by subjecting prototypes to stress levels significantly higher than those encountered in actual use.
By increasing the stress on the component, failure is induced more rapidly, which is equivalent to speeding up the passage of time. This approach is particularly useful when waiting for failures to occur at their normal rate is not feasible, such as when a manufacturer needs to release a product to the market soon and cannot afford to spend several years performing a reliability test.
[Read more…]by Semion Gengrinovich Leave a Comment
A short video defining accelerated life testing or ALT.
An introduction to ALT or accelerated life testing. ALT is a method used to enhance product reliability by subjecting prototypes to stress levels significantly higher than those encountered in actual use. In short, it’s a way to accelerate time.
[Read more…]by Semion Gengrinovich Leave a Comment
Some history:
The executives of the Powertrain Organization (transmissions, chassis, engines) wanted a methodology where teams (design engineering, manufacturing engineering, and production) could work on recurring chronic problems. In 1986, the assignment was given to develop a manual and a subsequent course that would achieve a new approach to solving identified engineering design and manufacturing problems.
[Read more…]by Semion Gengrinovich Leave a Comment
A short video discussing the importance to engineering test data analysis of confidence intervals.
[Read more…]by Semion Gengrinovich Leave a Comment
Probably every engineer has heard once in his experience terms FMEA and RCA.
What is FMEA?
FMEA is a systematic method for identifying and preventing potential failure modes in a product or process. It helps in proactively addressing failure risks, improving reliability, and enhancing safety. FMEA is crucial in various industries, including automotive, aerospace, and manufacturing, to ensure product quality and customer satisfaction.
[Read more…]by John Kreucher Leave a Comment
Once upon a time in my former life, I served as the Quality Manager for a $300M tier-one automotive manufacturing plant that provided components and assemblies to OEM vehicle assembly plants. You would recognize our customers – most of the big names. This assignment was a departure from my previous roles in product development and testing. To say that the job was eye-opening is an understatement. Years later, I described this three-year experience to friends as my “tour of duty on the front lines.” Anyone who has spent any time in manufacturing can certainly relate!
by Semion Gengrinovich Leave a Comment
Well, this article will be a little bit challenging and full of statistical terms. I would categorize the “Hypothesis testing” as most of common use in statistical analysis.
First time of usage happened in 1700s, but actual popularisation at early 20th century:
[Read more…]by Semion Gengrinovich Leave a Comment
by Semion Gengrinovich Leave a Comment
Background:
A histogram – is an approximate representation of the distribution of numerical data. The term was first introduced by Karl Pearson:
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