Creating Unique Reliability Tests

A common request of reliability professionals is to design a set of reliability tests.

Many rely on standards, such as 85°C / 85%RH, to determine if a system is reliable, yet the standards do not provide a means to translate the results to your specific situation.

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Reliability and Statistical Process Control

When components fall outside specs, the chance for quality and reliability issues increases.

Let’s explore some design and manufacturing cases where effectively using statistical process control will enhance your product’s reliability performance.

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Reliability and Tolerance Analysis

A tolerance specification is how we communicate the allowance for part variation.

Variation happens, and when it is within what we expect, great. Otherwise, quality and reliability issues ensue. Let’s explore how to set tolerances to improve reliability properly.

Let’s understand the process data, stability, and design constraints in an attempt to find a balance to create meaningful tolerances.
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Reliability Projects and Programs

We work on projects to improve reliability.

There may not be the field data immediately available. Let’s explore how you can improve the overall program while delivering on your project.

Specifically, what’s with cost and procurement?
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Reliability Distributions and Their Use

How do you use the Weibull Distribution?

It’s just one of many useful statistical distributions we must master as reliability engineers.

Let’s explore an array of distributions and the problems they can help solve in our day-to-day work.
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R Software and Reliability

Looking for an inexpensive and powerful data analysis tool?

R is free. R is an open source statistical programing language.

Let’s explore R’s many capabilities concerning reliability statistics from field data analysis, to statistical process control.
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Making Use of Reliability Statistics

Mastering the statistical tools related to reliability engineering allows you to master reliability.

Identifying, characterizing, understanding, predicting, and improving reliability all require statistics. Let’s discuss how it works and what will work for you.
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Getting Started with Reliability Engineering

Every project and program includes reliability engineering.

This may be obvious with a structured program and reliability plan or may be unspoken. The product or system will have some level of reliability performance whether or not anyone is overtly working to achieve a reliability goal.
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Select the Right Accelerated Life Test Approach

There are many reasons to use accelerated testing and just as many ways to conduct the testing.

Matching and balancing cost, risk, and results takes some skill.

Let’s talk about the key elements to consider so you select the best approach for your test.
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Create a Meaningful Environmental Test Plan

We often want to know if our product will work as expected in our customer’s environment.

Creating an environmental test plan that clearly shows weaknesses and strengths should be part of your program for each product.

Let’s explore the steps and resources you should consider when creating an environmental test plan for each product.

We will discuss why using standards or even the plan from the last program may not provide you meaningful information.

Understanding how your product responds to your customer’s environment provides the information for your team to make improvements and improve product reliability.
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Break the “we’ve always done it this way” cycle

Reliability and test planning takes time and it’s easy to use the plan worked out for the last program.

Yet this doesn’t consider the new risks or technology or use conditions that impact product reliability.

If you find resistance as you propose improvements to the reliability plan or to the test plan, what can you do to gain acceptance?

If the source of resistance that what we did last time worked, why change, then what steps can you take to secure support for the needed changes?
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Building a Reliability Plan

Each product development project is different.

Different features, customers, use cases, and expectations. Let’s discuss how to build a custom reliability program that fits your specific situation.

“Insanity: doing the same thing over and over and expecting different results.”

– attributed to Albert Einstein, basically describes many organizations’ reliability project plans.

The idea that a set of activities will effectively address all of the reliability risks of a new design is too common across industries.

Why is this?

Let’s explore recognizing the current situation and which activities provide the most value.

The focus should be on creating a product that meets customer and business expectations with the lowest risk and cost.
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Establishing Reliability Goals

The way we communicate goals directly impacts the achievement of the goal. Creating and succinctly stating a reliability goal necessary for the leadership it provides an organization when designing a new product. The reliability goal statement includes four elements:

• function
• environment
• probability of success
• duration.

The function definition provides one means to define failure conditions. The environment includes elements such as weather and elements related to use frequency. ᐅ Play Episode