
A little bit of nostalgia over a long weekend. Ken Latino reminisces a bit about the start of PROACT software. Learn a little about how it all started and how far reliability software has come over the past 30 years.
[Read more…]Your Reliability Engineering Professional Development Site
by Robert (Bob) J. Latino Leave a Comment

A little bit of nostalgia over a long weekend. Ken Latino reminisces a bit about the start of PROACT software. Learn a little about how it all started and how far reliability software has come over the past 30 years.
[Read more…]by Christopher Jackson 4 Comments

I am constantly confronted by students, reliability engineers and other people banging fists on tables and saying …
… 89 percent of failures are random …
Firstly, 100 percent of failures are random. It’s just that there are lots of textbooks and experts telling us that a ‘random’ failure is one that happens irrespective of age. That is, a failure with a constant ‘failure rate’ where the item in question doesn’t appear to age or wear out.

The N in the FINESSE fishbone diagram stands for Noise reduction. Cause-and-effect relationships and systems thinking are essential aspects of any communication system. We normally think of noise in four forms – the way people mentally process information, the types of forums where we present, visual and auditory effects, and communication channels. These three tips and a video clip provide focused examples.
Few technical professionals fully leverage the editing tools or consistently apply the techniques to Google, Adobe, Microsoft, or social media applications. From word count to spoken words to readability, this article touches on key approaches to making your reports and presentations more concise.
[Read more…]by Semion Gengrinovich Leave a Comment

Statistical distribution – it has important role in general life and of course in engineering specifically. So, what is all about?
During morning commute either by bus or vehicle, you take some budget of time. From your daily routine experience, you with very high probability, can predict arrival time. You also know how much time it will take, in less ordinary cases, like slippery roads, or cars accident along you route.
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First master the fundamentals
Basketball Olympic Gold Medallist Larry Bird
The industrial world today is abuzz with a lot of terminologies and jargons mainly stemming from today’s technological advances in the areas of sensors, data, communication and electronics. Each day brings in something new for the Asset Owners from the service providers who claim that their technology, product or service is ‘unique’ and has been ‘never seen before’. While a lot of these offerings are innovative in many aspects, the real question lies in how do they fit within the ‘fundamentals of the Asset Management’? [Read more…]
by Fred Schenkelberg 13 Comments

What good is your service if your livelihood consists of providing MTBF upon request?
Sure, you earn some money, yet did the customer receive value in the transaction? As you know, or should know, MTBF is so commonly misunderstood that the customer is likely to be confused about what they want, reliability or MTBF. Providing them with MTBF does not answer their question.
Worse, the customer thinks they got something of value and blithely heads off with rather meaningless information.
My contention is to provide MTBF because the customer’s request is wrong. We know better. Those performing predictions, doing data analysis, and other reliability engineering work know that MTBF is a faulty and rather meaningless metric often confused with reliability, R(t). (probability of success over a duration). [Read more…]
by Mike Sondalini Leave a Comment

Companies that want plant and equipment reliability need to engage the people in the workplace and give them a large degree of responsibility for improving the performance of their equipment. The most successful solution yet discovered to do that is the autonomous work team.
[Read more…]by Greg Hutchins Leave a Comment

All this knowledge, passed on for our Engineers, is of little use unless it reaches the right people. The individuals and institutions which educate the safety engineers and who will be responsible for the design and operation of plants handling hazardous materials have a duty to make their students aware of the hazards and at least to make a start in gaining competence in handling them.
As elsewhere in engineering, computers are in wide-spread use in the design of process plants, where computer aided design (CAD) covers physical properties, flow sheeting, piping and instrument diagrams, unit operations and plant layout. There is increasing use of computers for failure data retrieval and analysis, reliability and availability studies, fault tree analysis and consequence modelling, while more elusive safety expertise is being captured by computer-based expert systems.
[Read more…]by Hemant Urdhwareshe Leave a Comment

In this video, Hemant Urdhwareshe explains concept of Confidence Intervals for Mean Time Between Failures (MTBF). The concept is explained for time terminated and failure terminated tests. The calculation is illustrated with Chi-square distribution tables and also Excel Template created by IoQR. The video would be useful to those who want to learn these concepts and learn how to calculate MTBF confidence intervals using tables. It will be beneficial to those who wish to take ASQ CRE, CQE, Six Sigma Black Belt and CMBB certification exams.
[Read more…]by Ray Harkins Leave a Comment

How many times have we heard that we must tolerate poor process performance because it’s “the nature of the beast” or its excess variability is considered “normal”? How much does financial performance suffer due to allowances for alarming levels of scrap, low yields, or losses considered “best practice” for the industry? Improving these situations requires a great team, supportive management, and cooperative suppliers. Beyond the support, operations and quality leaders must know a systematic method of problem-solving and have access to statistical tools to drive the data through to a solution.
[Read more…]by George Williams Leave a Comment

Last time we discussed Alarms in the Opportunities for Maintenance and Reliability series. This week we will be discussing event rates. What is an event rate? Watch George break it down!
[Read more…]by André-Michel Ferrari Leave a Comment

Concurrent or simultaneous failures can happen with redundant or spared systems. This means that both spared equipment can fail at the same time leaving the operator with no production output. For example, we have two alternating pumps operating in a parallel configuration. Each one acts as a spare and at any one time can take over if the other one fails. This article is based on a question I was asked during a recent industry presentation. I thought the example was interesting and informative enough to share with the Maintenance and Reliability community.
[Read more…]by Fred Schenkelberg Leave a Comment

Let’s say we have a set of numbers, {2.3, 4.2, 7.1, 7.6, 8.2, 8.4, 8.7, 8.9, 9.0, 9.1} and that is all we have at the moment.
How many ways could you analyze this set of numbers? We could plot it a few different ways, from a dot plot, stem-and-leaf plot, histogram, probability density plot, and probably a few other ways as well. We could calculate a few statistics about the dataset, such as mean, median, standard deviation, skewness, kurtosis, and so on. [Read more…]
by Semion Gengrinovich Leave a Comment

A short introduction to accelerated life testing or ALT. It is a method used to enhance product reliability by subjecting prototypes to stress levels significantly higher than those encountered in actual use. The idea is to rapidly induce failures which is equivalent to speeding up time.
[Read more…]by Mike Sondalini Leave a Comment

The world needs plant and equipment that are reliable and fault-free for decades. Yet Maintenance can only keep machinery working by replacing broken and at risk parts. Even industrial asset management only aims to lower the cost of plant and equipment ownership. Neither methodology has the capability to deliver what mankind needs in future. Before the end of this century both disciplines will die-out because intelligent production machines will be made that are completely reliable and maintenance-free for their entire lifetimes.
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