Accendo Reliability Webinar Series

Let's discuss and understand the basics of hazard analysis as it is the systematic process identify and control safety risks

In this short webinar let’s discuss when and why you would use Weibull analysis, the basic process, and limitations.

Let’s consider the most expensive aspect of your reliability program. It’s not testing.

What’s coming to reliability engineering in 2020 and beyond? Let’s explore a few trends and their implications.

What’s coming to reliability engineering in 2020 and beyond? Let’s explore a few trends and their implications.

Having a reliability target for your product is great. But how does that help all the little design teams

Having a reliability target for your product is great. But how does that help all the little design teams

Let’s take a look at a few ways to really learn what you need to know along your journey to become a reliability engineer.

at the heart of statistics are these intimidating functions like ‘probability density functions’ and ‘cumulative distribution functions.’

Ever wondered if your servicing intervals are ‘good’? Do you know what ‘good’ is? Are you servicing too much or too little?

Minitab itself has many reliability functions available; this presentation covers the basics.

If reliability engineering ends up costing you money, then you are doing it wrong.

This webinar will open your eyes to this important perspective. its’ so simple and has made many heroes in the data analysis world since Abraham Ward.

Some of you may have heard of ‘Bayesian analysis.’ You may think this is something fancy that only universities do.

Let’s discuss the concept of failures along with a few other concepts universal to reliability engineering.

Warranty returns are a great place to start for setting targets for new products. But how do you translate that to specific numbers to design to?

So how do you convert reliability data analysis into useful information for that decision?

Your science, engineering, and math formal training will serve you well as a reliability engineer, and that is not sufficient to be successful.

So how do you convert reliability data analysis into useful information for that decision?

Using a particular formula requires understanding the purpose, limitations, and assumptions involved. It also requires using the right formula.

The goal of this presentation is to educate the audience of options to prevent electronic equipment failure used in enclosed spaces from corrosion.

So how do you convert reliability data analysis into useful information for that decision?

Let’s talk about risk, risk management, and our role in identifying and mitigating risks.

Let's get into the details and code to make this analysis happen.

Looking Forward with Reliability Engineering is about understanding the decisions that the information we should create will inform.

In my experience, there are three basic approaches to ALT: Test to pass, test to failure, and degradation testing. Each is good for specific situations

you can use your brain to work out the right number of spares you need and save lots, and lots of money.

Acceleration factors translate one stress level to another, which is rather useful for accelerated life test interpretation.

Let's explore a set of data with a Weibull plot and enjoy reliability making money