Collecting Data and Condition Monitoring
Abstract
Alex Desselle and Fred discussing dealing with and using data especially concerning condition monitoring.
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SOR 376 Collecting Data and Condition Monitoring
Fundamentals of Reliability Testing
Fundamentals of Reliability Testing
podcast episode
Testing is expensive. Reliability testing is often complex. Let’s break down the basics of planning and conducting reliability testing that provides meaningful results cost-effectively and timely. Let’s do testing right.
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Fundamentals of Human Factors
Fundamentals of Human Factors
podcast episode
People use your product and assemble, move, and store it. If someone cannot interact with your product, with or without the manual, they may consider your product a failure. Designing in the ability for an individual to use your product properly is the art of considering human factors. [Read more…]
SOR 365 Maintenance Data Integration with Kevin Clark
Maintenance Data Integration with Kevin Clark
Abstract
Kevin Clark and Fred discussing a new set of devices and services to provide real-time vibration and temperature data for your factory’s assets.
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Fundamentals of Stress-Strength Analysis
Fundamentals of Stress-Strength Analysis
podcast episode
If your product is stronger than the applied stress, it should work. The stress/strength relationship concept is well known, but did you know stress and strength change over time? Let’s use the best information and tools for this analysis. [Read more…]
Process Capability, Tolerance, and Reliability
Process Capability, Tolerance, and Reliability
podcast episode
Product failures may occur due to material or component variability. The steel in a bracket is more brittle than optimal, or the capacitance is on the low side of an acceptable range. Designing a product with variation in mind enables the creation of a reliable product. [Read more…]
RRP 012 Preventive Maintenance Optimization (PMO) – James Kovacevic
RRP 012 Preventive Maintenance Optimization (PMO) – James Kovacevic
On this week’s episode of Rob’s Reliability Project, I sit down with James Kovacevic and talk about preventive maintenance optimizations (PMOs). James helps us understand what a PMO is, how we can do it better and gives us some tips on what to avoid.
Follow James Kovacevic on LinkedIn at:www.linkedin.com/in/jameskovacevic/
Follow Rob Kalwarowsky on LinkedIn at:www.linkedin.com/in/robert-kalwarowsky-p-eng-03a43552/
For any questions or inquiries, emailrobsreliabilityproject@gmail.com
Fundamentals of Stress Screening
Fundamentals of Stress Screening
podcast episode
Stress screening, highly accelerated stress screening, and burn-in are expensive activities to avoid. Yet stress screening does have a valuable purpose in specific circumstances. Let’s talk about when and why you may conduct stress screening.
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The Non-parametric Friedman Test
The Friedman test is a non-parametric test used to test for differences between groups when the dependent variable is at least ordinal (could be continuous). The Friedman test is the non-parametric alternative to the one-way ANOVA with repeated measures (or the complete block design and a special case of the Durbin test). If the data is significantly different than normally distributed this becomes the preferred test over using an ANOVA.
The test procedure ranks each row (block) together, then considers the values of ranks by columns. The data is organized in to a matrix with B rows (blocks) and T columns (treatments) with a single operation in each cell of the matrix. [Read more…]
Continuous Improvement of the Risk Management Framework
Systems and processes exist in our dynamic world. Each organization and situation is different. Just as there is not one risk management process that works for any organization, there also is the need for continuous improvement of an existing system.
When first designing a risk management process for your organization, you consider your objectives and adjust a framework to fit your needs. Over time your objectives and the surrounding environment changes, thus requiring a critical look at your process. [Read more…]
Fundamentals of Environmental and Use Conditions
Fundamentals of Environmental and Use Conditions
podcast episode
A complete reliability goal statement element involves a product’s environment and use conditions. The ability to define these clearly during the design process is not always easy, yet a valuable addition to your reliability program.
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Fundamentals of Sample Size Determination
Fundamentals of Sample Size Determination
podcast episode
A common question about reliability testing is, “What is the sample size?” It is also a difficult question to answer well. The right sample size balances cost, accuracy, and variability. In some cases, we also consider the time to results.
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How to Estimate the Number of Failures Next Month
Let’s say you have shipped 1,000 products to your customer on January 1st. All are immediately placed into service. And each month since you have received a few product returns, what we are going to call failures. We also have fitted the data to a Weibull distribution. Then in May, your boss asks you to estimate how many failures to expect in June.
This is a simple example as we’re not shipping units every month, nor changing the product design or assembly process. We also have worked out the fitted Weibull parameters already. That leaves the calculation of how many failures we should expect over the next month. [Read more…]
Quality & Reliability: Similarities and Differences
I like to say Reliability is all of quality over time. Quality professional tend to say reliability is an element of quality. David A. Garvin of the Harvard Business School suggests there are eight dimensions to quality, including reliability.
Either way one relates quality and reliability we need to remember that quality or reliability is not a department, team, the engineering down the hall. Quality and reliability is part of the culture of the organization. It is how we make decisions the impact how the product or service performs for customers. [Read more…]
Determine Success Testing Sample Size
“How many samples do we need?” is a very common question. It is one you will receive when planning nearly any kind of reliability testing. It is a great question.
Having too few samples means the results are likely not useful to make a decision. Too many samples improve the results, yet does add unnecessary costs. Getting the right sample size is an exercise starting in statistics and ending with a balance of constraints.
There are six elements to consider when estimating sample size. We will use the success testing formula, a life test with no planned failures, to outline the necessary considerations. [Read more…]
