Protective Devices are important for our equipment and for our own safety. My guest, Miles, shows us a real-world Protective Device and explains how it could prevent disaster. Reliability Centered Maintenance (RCM) gives us powerful tools to decide how to maintain Protective Devices so they are ready to protect us in the event things go wrong. [Read more…]
All articles listed in reverse chronological order.
Planning for a DOE
In this article post, we discuss the suggested steps for planning a Designed Experiment.
Step #1 – Clearly Define the Problem and Objectives
It is critical to clearly define the problem before beginning experimentation. When the problem is not clearly defined and described, there will be confusion in designing and executing effective studies. To define appropriate responses to measure requires that the problem be understood and agreed on. Also, it is key to define the objectives of the actual experiment. If the problem is to reduce scrap rate, how much of a reduction is targeted? [Read more…]
Temperature Deration
High temperature stress analysis of metallic components must account for an inevitable decrease in room temperature minimum yield strength (Sy). Linear-elastic stress analysis is the norm for nearly all downhole metallic components and accurate results depend upon the use of reliable temperature deration factors. [Read more…]
Outsourcing or ‘Out of sight, out of mind?’
I was having a lunch meeting with a project manager, and the topic of outsourcing came up. Specifically, outsourcing the manufacture of a particular machine that would form part of a larger vehicle system. I asked him why he was doing this, particularly when for many years the predecessor to this machine was very successfully manufactured in-house. His answer was simple.
It was to transfer risk to a supplier. [Read more…]
Should You Worry About IoT If You Don’t Have the Basics Down?
What Good Is The Data If You Don’t Know What To Do With It?
As maintenance, reliability, and asset management professionals, we are in an amazing time. We can collect virtually limitless amounts of data on the condition of our assets. With this data, we can determine the exact condition of the assets, predict when the next failure is likely to occur and how it will occur. Besides, with all of this data, we can move to prescriptive maintenance, where the maintenance actions are determined based on the asset condition, not a predetermined strategy. I’ll touch more on prescriptive maintenance in next week’s post. [Read more…]
Accelerated Hard Trends
Guest Post by Daniel Burrus (first posted on CERM ® RISK INSIGHTS – reposted here with permission)
The predictability of disruption as an innovation accelerator is a central component of the Anticipatory Organization Model, focusing closely on how Anticipatory Organizations and individuals can look at disruption and see enormous opportunities. [Read more…]
Uptime Insights – 1 – Improvement Strategy
Reliable operations are far less expensive to maintain and operate and they produce more consistently. Yet most industrial operations are far from achieving high reliability. Getting there will require effort and that effort goes well beyond the maintenance department alone. They will need to change from reactive, break it then fix it thinking and un-informed cost-cutting measures that undermine reliability. They will need leadership, not management. Leadership is all about making change and taking your organization in new directions. It will be disruptive, or it won’t be much of a change. Leaders are the ones who rock the boat, managers will keep it stable. In choosing excellence you’ll be choosing a path of constant change and improvement. Leadership is needed – it’s about strategy, effective execution, and it’s about your people – without whom you will accomplish very little. If you want excellence, it begins with leadership. [Read more…]
Why should you proactively identify Failure Modes?
Identifying the right Failure Modes is an essential part of a Failure Modes and Effects Analysis (FMEA). One of the criteria for including a Failure Mode in an FMEA is if the Failure Mode is unlikely to occur, but has severe consequences. Doing so puts you in a position of strength to decide what, or if anything at all, should be done proactively to manage it. [Read more…]
Nonparametric Forecasts From Left-Censored Data
“Component D” had some failures in its first 12 months. How many more would fail in 36-month warranty? ASQ’s Quality Progress Statistics Roundtable published the data and Weibull analysis. The data included left-censored failure counts collected at one calendar time. The Weibull analysis included actuarial failure forecasts. This article describes nonparametric alternatives to Weibull and quantifies extrapolation uncertainty. The nonparametric forecasts are larger than the Weibull forecasts. Alternative extrapolations of nonparametric failure rates from data subsets quantify uncertainty. [Read more…]
How Should the Sample Size be Selected for an X-bar Chart? (Part I)
The purpose of control charts is to detect significant process changes when they occur. In general, charts that display averages of data/measurements (X-bar charts) are more useful than charts of individual data points or measurements. Charts of individuals are not nearly as sensitive as charts of averages at detecting process changes quickly. X-bar charts are far superior at detecting process shifts in a timely manner, and the sample size is a crucial element in ensuring that appropriate chart signals are produced. [Read more…]
The Informative Run Chart
One of the very first plots to do with a string of data is a simple run plot. This plot provides information related to location, trends, patterns, and anomalies, The plot of the data over time is a rather informative chart.
You have most likely constructed many run charts; if not you really should. This short introduction to the run chart will cover creating and interpreting them. Plus we’ll mention a few cautions and tips, as well. [Read more…]
Same old reliability lessons from amazing new (solar cell) technologies
There are plenty of reasons for renewable energy to become increasingly important. These reasons start with climate change and end with our unmistakably finite amount of fossil fuels buried in our fragile planet. One of the early criticisms of renewable energy was that it wasn’t cheap. Sure – the energy sources such as sunlight, wind and flowing water are inherently renewable, but the costs to manufacture and maintain all the equipment that extracts energy from these resources can be very high. [Read more…]
Showcase Your Reliability Accomplishments Well
When a reliability engineer or manager does their job well, the product just works as expected. Maybe even a little better than expected. There isn’t any major problems that need a hero to resolve.
Work done well, may go unnoticed. To avoid that you need to master the art of promoting successes without coming across as bragging or boasting. For your career advancement, you need to be both successful and likable.
For your program and ability to influence outcomes, you also need to be seen as successful, valuable, and again likable. [Read more…]
What is Prescriptive Maintenance?
Understanding What Comes After Predictive Maintenance
Imagine being able to adjust your maintenance actions on the fly to provide the exact maintenance where and when it is needed. However, you are not reacting to significant changes in the condition of the equipment (like PdM), but instead, you are taking many sources of information in real-time from the equipment using Internet of Things (IoT) and using analytics to analyze and understand the condition of the equipment. This allows for a flexible maintenance strategy in which maintenance is only applied when and where it is needed. This virtually eliminates the traditional PM Schedule. This type of maintenance is available now, and it is called Prescriptive Maintenance. [Read more…]
Most Commonly Underused CMMS Features
Want to achieve a worthwhile return-on-investment (ROI) from your software? Then it’s important to learn about some of the most commonly underused computerized maintenance management system (CMMS) functions. Many organizations do not use all of the features their preventive maintenance software provides, or don’t use the functions to their full capacity. In fact, a majority of plant maintenance managers feel they aren’t using their preventive maintenance software to its maximum capability.
Modern-day CMMS systems are crammed with various features, and users don’t necessarily need to access and master every feature of the system. However, it becomes a problem when users get so comfortable with their way of doing things that they avoid features they’re not familiar with. Especially if those features could potentially improve their productivity. Understanding what impact underutilized CMMS functions can have on your maintenance department will help you make the most of your software.
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