Your Reliability Engineering Professional Development Site
Find all articles across all article series listed in reverse chronological order.
20 years ago, I wrote extensively, and held a rally on Parliament hill regarding the two-faced Canadian Government and Asbestos. At that time, I had just visited India, where I witnessed Canadian Asbestos being unloaded from Vessels, with workers wearing only flip flops and loin cloths using large hooks to grab the bales.
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Dear Friends, I am happy to release this video on a very important and fundamental statistical concept of Central Limit Theorem (CLT). The CLT forms basic for statistical control charts, hypothesis tests, ANOVA etc. I am sure, you will find the video useful!
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The Kaplan-Meier reliability estimator errs on Fred’s bicycle ships and failure data! The Kaplan-Meier estimate was computed from Fred’s bicycles’ grouped failure data in the body of a “Nevada” table. It disagrees with the reliability estimate from ships cohorts and monthly failures (without knowing which cohort the failures came from). It disagrees with least squares nonparametric reliability estimates. All but the Kaplan-Meier estimate agree! Which would you prefer?
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In this second installment of my three-part article series, I am again showcasing some of my favorite student questions from the past seven years since first launching my online class titled “Statistical Process Control (SPC) Using Microsoft Excel.”
Each exchange represents not only the question in that student’s mind, but the type of question that lingers the minds of countless professionals trying to advance their skillsets. Each exchange – some of which I edited for clarity – become a permanent part of the class itself that future students can read and learn from. Perhaps you’ve had some of these questions as well.
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Webinar recording from 1/18/2024 as we discuss how to ensure we see the value from our assets by defending them, having the right strategy and people to ensure they run reliably.
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In this video, I’m sharing an unexpected lesson in Reliability inspired by a highly trained Labrador Retriever at Melbourne Australia’s airport. While traveling to the Mainstream Conference in Melbourne, I encountered a situation at immigration that reminded me of the principles of Reliability Centered Maintenance (RCM). Join me as I discuss how the training and care that made this dog so effective can inspire us to do the same for our machines so we can achieve the Reliability we require. Plus, I’ll explore why it’s crucial to ensure our equipment isn’t pushed beyond its capabilities. Let’s dive into the heart of reliability together!
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A one-sample t-test is a statistical test to determine if the sample mean differs significantly from a known or hypothesized population mean (expected value). It is commonly used when we have a single sample and want to compare its average to an expected value.
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Accelerated life testing (ALT) is a method used to enhance product reliability by subjecting prototypes to stress levels significantly higher than those encountered in actual use.
By increasing the stress on the component, failure is induced more rapidly, which is equivalent to speeding up the passage of time. This approach is particularly useful when waiting for failures to occur at their normal rate is not feasible, such as when a manufacturer needs to release a product to the market soon and cannot afford to spend several years performing a reliability test.
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Yes…is that a ‘yes’ in that something is correct and there is affirmation of acceptance? Or is it “yes?” in response to having one’s attention attracted, or “yes?” as a question as to how something should be done or “yes” affirming one’s agreement regarding a decision on a particular course of action. Not all yeses mean the same.
How often though do we hear the word ‘yes’ and assume it’s what we would like it to mean. Many take ‘yes’ to mean that there is agreement with what has been said and a positive alignment with their way of thinking or writing and the course of action to be taken. But that’s not entirely so.
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Dear friends, In this video, Hemant Urdhwareshe explains the concepts of linearity, center point and orthogonality in Experimental Designs! The video is created to understand these concepts with simple illustrations! We are sure, you will find this video useful!
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Your views on why enterprise asset management fails intrigued me. I am currently undertaking a master’s study on “Understanding the Difficulties of Developing an Effective Planned Preventive Maintenance Regime at an underground coal mine”.
My masters is based on finding the reasons why in the mining field the other methods of maintenance methodologies such as RCM, TPM, Six Sigma, etc. do not seem to get embraced by the mining maintenance teams, and there is always a weak attempt to implement them on the part of management.
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In this video, I’ll walk you through the essentials of preventive maintenance – what it is and how to correctly identify the intervals for preventive maintenance tasks. We’ll talk about scheduled replacement and scheduled restoration tasks, and I’ll take you along as I perform three real-life examples: changing my home HVAC filter, getting my hair colored, and an oil change for my Subaru Forester. Each task highlights the importance of scheduling based on “age,” regardless of the condition at the time.
I also explain why preventive maintenance intervals should be set based on the useful life and not manufacturer recommendations, mean time between failures (MTBF), or criticality. Understanding these concepts is key to building a strong Reliability Culture in any organization. If you have any questions about preventive maintenance, drop them in the comments. I’m here to help!
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In the dynamic world of modern manufacturing and industrial processes, the reliability and performance of equipment play a crucial role in ensuring operational efficiency and product quality. Dosing pumps, essential for precise fluid control, are no exception. As industries increasingly embrace digital transformation, predictive analytics has emerged as a powerful tool to enhance the monitoring and maintenance of dosing pumps. This article delves into how predictive analytics can be used to monitor dosing pump performance, improving reliability, efficiency, and cost-effectiveness.
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In my previous article, I briefly discussed the survival function and the Kaplan Meier method of estimating this function from a given dataset. We applied this method to a vehicle shock absorber dataset to answer questions like “What is the probability that a vehicle shock absorber will last at least 19,000 km?”. The two different modes of failure of a shock absorber (Mode 1 and Mode 2) were ignored and were treated as the same type of failure. In the following post, we will consider the two modes of failures as two competing risks and answer questions like:
“What is the probability that a vehicle shock absorber will experience a Mode 1 failure by 19,000 km and that this failure occurs before it experiences a Mode 2 failure?” [Read more…]
A short video defining accelerated life testing or ALT.
An introduction to ALT or accelerated life testing. ALT is a method used to enhance product reliability by subjecting prototypes to stress levels significantly higher than those encountered in actual use. In short, it’s a way to accelerate time.
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