
Reliability Engineer or No
Abstract
Enrico and Fred discuss about the role of the reliability engineer in modern organizations.
ᐅ Play Episode
Your Reliability Engineering Professional Development Site
Author of the Reliability Competence article series. This author's archive lists contributions to articles and episodes.
Responsible for developing and implementing the Design for Reliability (DfR) approach at Electrolux Group. In this role, he has developed a full-scale education program called the Reliability Excellence Program to empower reliability engineers to apply the DfR approach in the company.
by Enrico Belmonte Leave a Comment
Enrico and Fred discuss about the role of the reliability engineer in modern organizations.
ᐅ Play Episode
by Enrico Belmonte Leave a Comment
Enrico and Fred discuss one of the most critical questions in reliability engineering.
ᐅ Play Episode
In this article, I want to show you why Weibull, lognormal, and exponential distributions are more appropriate than others for modeling failure distributions. Instead of starting from the explanation of the most used fitting distributions in reliability engineering, I will begin with the analysis of artificial datasets created assuming specific failure behaviors. In other words, I will start from the data and not from the statistical distributions. I think that this approach can help those who deal with this topic for the first time.
[Read more…]by Enrico Belmonte Leave a Comment
Since I published my first contribution about reliability, I’ve received a number of emails asking where the stress and strength distributions come from (Figure 1).
[Read more…]by Enrico Belmonte Leave a Comment
The bathtub curve is one of the most famous graphical representations in reliability. It shows the typical trend of failure rate over time (Figure 1). This curve can be divided into three parts corresponding to decreasing, constant and increasing failure rate.
High but decreasing failure rate in the first part of the curve (1) indicates products defective or prone to fail due to manufacturing or design issues. The middle section (2) is characterized by low and constant failure rate. Failures in this phase are caused by unpredictable external events like flatting tire or power surge causing electronic failures. The right-hand side of the bathtub curve (3) shows increasing failure rate. In this stage, failures occur due to wear-out damage mechanisms such as fatigue, creep, ageing, wear and corrosion.
[Read more…]The calculation of reliability consists of the comparison between stress and strength. If we consider stress and strength as deterministic quantities, failure occurs when the stress exceeds strength. In reality, stress and strength are stochastic variables (Figure 1a). If the two curves overlap (Figure 1b), failure may occur. Let us suppose that s and S are continuous random variables with probability density functions f(s) and f(S), respectively.
[Read more…]