Accendo Reliability Webinar Series

This webinar provides an accessible introduction to the principles and methods of cluster analysis and presents applications

AI and Reliability Engineering podcast episode with speaker Enrico Belmonte Artificial Intelligence is rapidly transforming engineering workflows, but its true impact may not be where many people expect. AI is...

From a statistical perspective, this is a clear ‘fingerprint’ of failures that are entirely dependent on maintenance.

Let’s examine the different ways one can listen, when it’s useful, and how to become a much better listener.

In this podcast let’s explore common types of capacitors, MLCC and Electrolytic, their basic construction, and how they may fail.

Let’s talk about the differences and how you can play an effective role as both a manager and a leader focused on improving reliability.

The basics of decision tree modelling and consider a simple demonstration of its application to assess imminent failure in automobiles.

This webinar shows you how to model switching (and other complex) systems using Monte Carlo Simulation in Excel with a perfect model.

Let’s explore how to work with suppliers to ensure the supplied items will meet or exceed your reliability expectations.

This webinar gives you 10 reasons why you should do FMEAs and FMECAs properly – and use AI to accelerate the process to amazing results.

Let’s explore what warranties are and are not, plus why they even exist. How are the terms of a warranty set, and by whom?

Let’s explore how a group’s culture affects its ability to create a reliable product or system. It’s part how we talk about reliability, what tasks, and tests we do.

The intent of any failure analysis is to understand the problem well enough to craft and implement short and long-term solutions.

‘parts count reliability prediction’ is awful. And in this webinar, we will explain why. If this intrigues you, enjoy this episode.

Let’s explore a few of the limitations, checks, and options when taking a look at some data. Checking assumptions and more.