Your Reliability Engineering Professional Development Site
We use reliability metrics to set quantitative targets and to estimate performance against those targets. In this lesson, we define the most common reliability metrics/statistics. We also relate them to the probability density function which describes the time-to-failure data.
Reliability Reference Textbook – Section 3, Pages 1-12
While conditional probability is not necessarily that intuitive, it plays a role in various reliability applications such as warranty forecasting, reliability prediction with burn-in, and repairable systems analysis. This lesson introduces conditional probability as well as independent events.
Reliability Reference Textbook – Section 2, Pages 6-13
Since Reliability is a probability, we should understand some basic probability ideas. Here we review basic probability concepts which will be important for applications later in the course.
Reliability Reference Textbook – Section 2, Pages 1-5
Establishing reliability goals is the first step in achieving the level of desired reliability performance. We discuss the important elements of a reliability goal / target. We also discuss factors that typically influence the reliability goal itself.
The type of data we collect affects how much data we need, and the methods used to analyze it. In this lesson, we explore different types and sources of reliability data, classifications of analyses, and challenging/unique aspects of reliability analyses.
The common definition of reliability has several aspects that require a bit of explanation to apply to specific products. In this lesson, we explore the nuances of defining reliability and distinguish quality from reliability.
Reliability Reference Textbook – Section 1, Page 2
Intense global competition and increasing customer expectations have increased the pressure on manufacturers to produce high-quality and reliable products. Improving reliability is a key element of the larger overall objective of improving product quality.
Survival of any manufacturer today is dependent on its ability to produce reliable products. Although a primary objective of reliability analysis is to improve product reliability, there are many possible reasons for collecting and analyzing reliability data.
Several examples are the following:
Reliability Reference Textbook – Section 1, Page 1
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If you have a question or comment related to the topics within this course or module, you have a few options to get support or feedback.
The instructor is Steven Wachs, Principal Statistician at Integral Concepts, Inc.
You can directly contact Steven via email at steve@integral-concepts.com or by phone at +1 (248) 884-2276. A contact form is also located near the bottom of this page.
Each step in the course includes a comment form near the bottom of the page. Steven will receive an email alerting him to your comment and providing him with a few ways to respond. This works well if your question or comment is specific to a particular lesson or module.
The course is offered via and hosted on Accendo Reliability, thus if you have any technical issues with accessing or viewing the content, please contact Fred Schenkelberg for assistance.
You can directly contact Fred via email at fms@accendoreliability.com or via phone at +1 (408) 710-8248. Near the bottom of this page is a contact form as well. If you experience odd behavior or an error message, please alert me with the details, and if possible how to recreate the issue.
Do not hesitate to contact us so you may receive the maximum benefit from this course.
Regards,
Steven and Fred
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