Why do so many avoid failure?
In product development of plant asset management, we are surrounded by people that steadfastly do not want to know about or talk about failures.
Failure does happen. Let’s not ignore this simple fact. [Read more…]
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by Fred Schenkelberg 2 Comments
Why do so many avoid failure?
In product development of plant asset management, we are surrounded by people that steadfastly do not want to know about or talk about failures.
Failure does happen. Let’s not ignore this simple fact. [Read more…]
by Fred Schenkelberg Leave a Comment
In many parts of the world ‘caveat emptor’ [let the buyer beware] no longer applies.
The producer and distributors of products are liable for their products.
This extends beyond product failures and a warranty claim. Today the company is liable for to make right any loss or damage incurred by the use of the product.
Courts and laws around the world reflect the protection of users of products from adverse consequences due to a negligent design and assembly practices.
The producer of a product must consider the user’s safety and provide reasonable safeguards.
This applies even when the user misuses or abuses a product. [Read more…]
by Fred Schenkelberg Leave a Comment
Everything varies.
Your vendors provide components with a range of values. Your production process varies, too.
Creating, monitoring, and maintaining process stability enhances your product reliability performance.
When I started my professional life as a manufacturing engineer, a senior engineer told me we take a product design and can only make it worse.
He said if we could make every unit exactly according to the nominal values of the drawing, every unit would work well. [Read more…]
by Fred Schenkelberg 4 Comments
The operating characteristic curve, OC curve, visualizes a sampling plan.
At times, we select a sample from a group of items and evaluate them. Does this lot of widgets meet the specifications? Does this batch measure up? [Read more…]
by Fred Schenkelberg Leave a Comment
The trite answer is just as many samples as you need and not one more.
A better answer is enough samples to make the right decision. The realistic answer is you will not enough samples.
“How many samples?” is an oft-asked question when planning for quality or reliability testing. [Read more…]
by Fred Schenkelberg Leave a Comment
Every product and process has built into it elements that impact the safety, quality and reliability performance.
These features will always be present whether deliberately crafted or not. [Read more…]
by Fred Schenkelberg Leave a Comment
A break from the normal format.
Reliability.fm is a podcast network focused on reliability engineering topics.
Starting with three shows. Speaking of Reliability and Dare to Know described below, along with recorded Accendo Reliability webinars. [Read more…]
by Fred Schenkelberg 5 Comments
My first major product design review was much less than I thought it would be. This was a new inkjet printer platform and the checkpoint review assessed the teams work and readiness to move to the next stage of development. A team of over 200 engineers and managers meet for 4 hours. [Read more…]
by Fred Schenkelberg 2 Comments
Failures happen. Sometimes product failures happen quickly.
You just bought a new feature rich computer and discover it doesn’t work. Right out of the box, it will not power up. Conversations with the tech support and it’s a trip back to the store.
The failures that occur early the in the life of a product tend —
this ‘tend’ really is just a vague ‘in general’
…tend to occur because of manufacturing errors or shipping/installation damage.
Not always, though. [Read more…]
by Fred Schenkelberg 1 Comment
First off, switches are not perfect, so this situation includes the reliability of the switch. Switch reliability may be a factor of storage time, probability of actually working when called on to work, or number of switching cycles. Each switch technology may be slightly different. For this equation, you need the reliability or probability of success given the primary unit has failed. Although we are assume the switch reliability is independent of the primary unit reliability and subsequent failure.
[Read more…]
by Fred Schenkelberg 4 Comments
This is not the same as a confidence interval. For a mean or standard deviation, we can calculate the likelihood that the true parameter is within a range of values — confidence interval concerning a parameter.
A tolerance interval applies to the individual readings, not the statistics. The interval contains a certain proportion of the values within the distribution of individual data points. The endpoints are tolerance limits. [Read more…]
by Fred Schenkelberg 2 Comments
Your customers are your best testers for your next product. They will explore the features. Expose the product to use conditions in unconscious ways. And, they will let you what they consider failures without needing the specification document.
During the development process, you and team may work to understand what customer may want or expect for the new product. You may even conduct focus groups or review past product field failures and call center records. [Read more…]
by Fred Schenkelberg 13 Comments
First off, switches are not perfect, so this situation is hypothetical. Yet, when you are exploring adding standby redundancy and haven’t sorted out the switching mechanism, you may be purely curious about the benefits of the redundancy. [Read more…]
by Fred Schenkelberg 2 Comments
Mechanical systems wear out and fail eventually. The ability of a structure to support a load, move through the specified range of motion, or spin degrades with use and time. Even our joints eventually wear out.
Accelerated life testing (ALT) has plenty of literature concerning the failure mechanisms unique to electronic components and materials. This is partially due to the limited number of unique electronic components compared to the often custom mechanical designs. ALT also has value as it provides information about a system’s reliability performance in the future.
Let’s explore an example of mechanical reliability testing (an ALT) in order to outline a basic approach to ALT design and analysis. [Read more…]
by Fred Schenkelberg 3 Comments
Most statistics books and the CRE Primer have tables that permit you to avoid calculating the probability for common distributions. The normal distribution requires numerical methods to conduct the calculations and would not be feasible during the CRE exam. [Read more…]