Next Generation HALT and HASS
Kirk A. Gray and John J. Paschkewitz
Wiley (Quality and Reliability Engineering Series)
ISBN 978-1118700235
Kindle version available now, Pre-sales for hard cover
Pending review.
Your Reliability Engineering Professional Development Site
by Fred Schenkelberg Leave a Comment
Next Generation HALT and HASSWiley (Quality and Reliability Engineering Series)
ISBN 978-1118700235
Kindle version available now, Pre-sales for hard cover
Pending review.
by Fred Schenkelberg Leave a Comment
by Fred Schenkelberg Leave a Comment
Examine collected data for accuracy and usefulness. Analyze, interpret, and summarize data for presentation using techniques such as trend analysis, Weibull, graphic representation etc., based on data types, sources, and required output.
Let’s get a bit more understanding of the data that has been gathered.
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Show me the data (article)
1-55. In analyzing field data or interval test data, a Weibull analysis is often performed. Effective use of this technique includes having a good estimate for which of the following?
(A) MTBF
(B) expected life
(C) the shape parameter
(D) the average quality of the production lots
(C) the shape parameter
Thre are two or three statistics determined during a Weibull analysis. The shape parameter estimated by the shape statistic, β; the scale parameter estimated by the scale statistic, η; and the (less commonly used or useful) location parameter, representing a failure free period, and represented with γ.
MTBF is the mean of the distribution or dataset and is not the same as the scale parameter unless the shape parameter is equal to 1. Expected life may be MTBF or mean, yet not part of a Weibull analysis.
Product quality is important and may be the subject or reason for doing Weibull analysis, yet is not directly a part of a Weibull analysis.
1-128. Normally, customer feedback and field data would not provide which of the following?
(A) information for the company’s management
(B) information for product improvement.
(C) information to enable management to allocate blame
(D) information for reliability performance measures
(C) information to enable management to allocate blame
While field data could help assign blame, it would be a mis-use of the information and generally considered not useful to solve problems, which lead to the field failures.
by Fred Schenkelberg Leave a Comment
by Fred Schenkelberg Leave a Comment
by Fred Schenkelberg Leave a Comment
by Fred Schenkelberg Leave a Comment
by Fred Schenkelberg Leave a Comment
by Fred Schenkelberg Leave a Comment
by Fred Schenkelberg 4 Comments
by Fred Schenkelberg Leave a Comment
by Fred Schenkelberg Leave a Comment
by Fred Schenkelberg Leave a Comment
The words we use matter (paraphrased from a conversation with Wayne Nelson).
Having a common understanding of the terms we use is crucial if we are to be understood. Reliability engineering, like many disciplines, has a a broad set of unique terms.
For the CRE Exam, if you have a firm grasp of the meaning and use of the many terms involved in our work, you will quickly be able to answer questions relying on terminology. On the other hand, you may need to quickly check the finer points of a terms meaning.
Thus, the glossaries as references for you to use when studying and taking the CRE exam.
The drafts available for download are for you to print, mark up, edit, update, and add to. Make it your own. Please let me know what is unclear, uncertain, or the terms that should be added.
You will find two glossaries below. One is organized much as the QCI CRE Primer with terms organized by topic. The other is a master list with all the terms in alphabetic order.
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by Fred Schenkelberg 2 Comments
by Fred Schenkelberg 4 Comments
soon adding more questions to quiz you on more areas/topics in this module – more on the way
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