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Find all articles across all article series listed in reverse chronological order.

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Half Life of Careers

Half Life of Careers

Because of the nature of Moore’s law, anything that an extremely clever graphics programmer can do at one point can be replicated by a merely competent programmer some number of years later.
John Carmack – Software Engineer

A number of years ago, several of us at Institute of Electrical and Electronic Engineers (IEEE) wondered what are the people  implications of what is commonly called Moore’s Law. The 2020 edition of this book (pre-COVID) focused on AI and technology disruption.

Story: Gordon Moore was one of the founders of Intel Corporation. Moore’s Law states the number of transistors that can fit into a computer chip doubles every 18 months to two years. Moore’s Law expanded to include any tech area where the rate of change doubles in two years or costs half as much.

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ACE 3T Procedure Plummer Block Example 

ACE 3T Procedure Plummer Block Example 

An example of an Accuracy Controlled Enterprise ACE 3T (Target – Tolerance – Test) Procedure with reliability standards to install taper spherical roller bearings on adaptor sleeves in Plummer blocks with taconite seals for 30mm-250mm diameter conveyor shafts 



 Machine performance is totally dependent on human beings. To address the problem of human error causing equipment failure, an Accuracy Controlled Enterprise sets best practice quality standards and uses 3T Target-Tolerance-Test work task quality control that assures high quality workmanship for high reliability results. Their work procedures are standardised so everyone follows the same methods to produce the same results, their training teaches people how to do craftsmanship work that creates outstandingly reliable plant and machinery. They create the reliability they want and as a result achieve operational excellence.

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How to Set CBM Task Intervals

How to Set CBM Task Intervals

Understanding the P-F Interval

How do you determine the right interval for a Condition Based Maintenance (CBM) task? It all comes down to the P-F Interval—the time between when a Potential Failure Condition is detectable to when the failure occurs.

In this video, I break down how to set CBM task intervals correctly using a simple example. The Failure Mode is: “Filter clogs due to normal use.” I’ll explain that CBM task intervals aren’t based on Criticality, MTBF, or the Useful Life, but instead on how quickly failure occurs once a Potential Failure Condition is detectable.

Learn how to properly identify and set your CBM task intervals to keep your equipment running reliably

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Evaluating Equipment Repair Effectiveness

Evaluating Equipment Repair Effectiveness

Introduction

How effective are the repair tasks you conduct on your equipment?

This article looks at quantifying the effectiveness of corrective maintenance, typically an unplanned repair on an asset. Unplanned repairs are undesirable because the asset loses its function and cannot produce what is required often leading to loss of revenue. Yet, this advent is inevitable because assets are subject to degradation over time.

The effectiveness of a repair relates to the condition in which the asset is restored to after a repair. But also how long it will operate until the next repair, Evaluating the effectiveness of the repair will provide the asset operator with a decision making tool. Can we do something different if the repair effectiveness is unsatisfactory? Or do we have to replace the asset as it is failing too frequently?

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7: Development – Part 1: Agile Hardware Development

7: Development – Part 1: Agile Hardware Development

Article by Mike Freier

In the last blog post, we discussed why Design for Excellence (DfX) is important to your business.  Building on several important concepts, this blog will focus on the Product Development phase and discuss how incorporating Agile principles can improve and accelerate your hardware product development process.

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SRE vs Reliability Engineer

SRE vs Reliability Engineer

In the world of engineering reliability, there is a crucial aspect that spans various domains, the two fields that often get confused due to their similar names. While site reliability engineering (SRE) and hardware reliability engineering are both aimed at ensuring the dependability of systems, they focus on vastly different areas and employ distinct methodologies.

Let’s explore the key differences between these two disciplines and delve into the history behind the SR naming convention.

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The Variety of Statistical Tools

The Variety of Statistical Tools

The Variety of Statistical Tools to Support Your Decision Making

My wife and I moved to a new home last year. We have yet to organize our tools.

The bedroom and kitchen are now organized. We, for the most part, can find the sweater or pan that we’re seeking.

No so for our tools in the shop. We have an assortment of hand tools for painting, home maintenance, yard work, and woodworking. In our previous home, we had the tools on pegboards, on shelves, in cabinets. We could find the right tool for the job at hand quickly. We’ve avoided the tool aisle at the hardware store recently, as we were sure we had the tool we need in the jumbled mess in our garage already. Still haven’t found it, though.

Have you noticed the number of statistical tools available? It’s like visiting a well-stocked tool store. There are basic tools like trend charting and advanced tools like proportional hazard models. Let’s explore the available tools a little so you can quickly find the right tool for the question or problem you are facing today.

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Quality Objective 5: TEAM

Many ideas grow better when they are transplanted into another mind than the one where they sprang up.  Oliver Wendell Holmes

In this article, I will outline how to evaluate an FMEA against the FMEA Quality Objective for FMEA Team. I’ll include relevant information from the chapter in the FMEA Preparation series called “Assembling the Correct FMEA Team.”

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Today’s Gremlin – Lube it wrong

Today’s Gremlin – Lube it wrong

Today’s Gremlin – “lube it wrong”, is a leading cause of machinery breakdown. 60% to 80% of all bearing failures are due to lubrication related problems. Wrong lube, too much lube, too little lube, contaminated lube, degraded lube, overheated lube and even poor lube selection can all lead to premature failures of bearings. Put a tiny bit of dirt into a hydraulic system and watch it fail quickly.

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Raise the ‘R’ 

Raise the ‘R’ 

Getting extraordinary equipment reliability



 This paper is primarily on understanding how to get extraordinary equipment reliability. The paper explains where equipment failures start in organisations. It clarifies the need to recognise the effect, and to control the influence, of interacting processes across the life cycle. It explains the successful philosophies and practices used in high reliability organisations and it introduces a reliability-causing methodology to help companies find what to do to become high-reliability organisations.

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Change Structure before Strategy

Change Structure before Strategy

Guest Post by Patrick Ow (first posted on CERM ® RISK INSIGHTS – reposted here with permission)

Organisations are systems that consist of sub-systems like sales and production. Change impacts the organisational system and subsystems in different ways and speeds – sales may react quickly to the changing external environment, but production may take time to change the process. Unfortunately, people are the hardest to change.

When organisational subsystems change at different speeds caused by external changes, it creates gaps or cracks in the system. This is where the system gets disintegrated.

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The Necessity of True Change Management in Maintenance

The Necessity of True Change Management in Maintenance

Change is an inevitable part of every industry, and maintenance is no exception. Whether it’s the introduction of new technologies, processes, or leadership, how an organization handles change can significantly impact its operational efficiency and overall success. However, when it comes to maintenance, true change management goes beyond simply implementing new systems—it’s about transforming the culture, mindset, and approach of the entire organization to ensure lasting improvement.

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Kolmgorov-Smirnov Two-Sample Test for Censored Data

Kolmgorov-Smirnov Two-Sample Test for Censored Data

Submitted to ASQC Reliability Review, Nov. 1996

A client wanted to compare the Kaplan-Meier (nonparametric maximum likelihood) estimators of the reliabilities of the old and new products. That is, he wanted me to test reliability functions, Ho: R1(t)=R2(t) for all nonnegative t vs. Ha: R1(t)≠R2(t) for some nonnegative t.

Because I’m lazy and fixed in my ways and because I thought it would be easier to explain, I chose the Kolmgorov-Smirnov (K-S) test [Gnendenko]. It’s convenient, practically every statistics text has the tables, and I can program tables and the test statistic easily. The test uses the maximum absolute difference between the Kaplan-Meier estimates of the two reliability functions. Reject Ho if maximum absolute difference, Dmn=max|R1(t)-R2(t)| exceeds a critical value, where m and n are the two sample sizes.

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