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on Maintenance Reliability

A listing in reverse chronological order of these article series:


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Safe Work Practice Procedure

Safe Work Practice Procedure

To Embed Safe Work Practices You Write Detailed, Strict Workplace Safety Procedures that Get World Class Job Safety

You must select OHS risk management mitigations appropriate to a job safety hazard using a formal method that delivers safe work practices.

Each task safety control will need to be developed, assessed for suitability, and recorded so it’s clear what the plan is, and how it is to be done.

In the end, there is a practically designed, completely resourced, fully scheduled, and totally sure safe work practice procedure approved for use.

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Using RAM Models in Contracts

Using RAM Models in Contracts

Reliability, Availability, and Maintainability (RAM) modeling overview

The concept of Reliability Block Diagrams (RBD) is also known as Reliability Modeling or Reliability, Availability, Maintainability (RAM) analysis. With RAM models, the interaction of large, complex, and multi-layered systems can be analyzed using Monte Carlo simulation methods. This help quantify the output of the entire system with greater accuracy than other estimating tools or methods. [Read more…]

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Understanding Anomaly Detection (AD) with the P-F Curve

Understanding Anomaly Detection (AD) with the P-F Curve

In the previous article, P-F Curve was used to understand the Remaining useful life (RUL) of an asset. RUL can be estimated at any time during the asset’s life, but it’s opportune to calculate RUL at the time ‘t’ when the asset shows signs of an impending failure. In the P-F Curve terminology the point at which the asset shows signs of failure is called the Potential Failure Point (Pf), which can also be stated as the time of anomalous behavior. The exercise of detecting anomalous behavior is called “Anomaly Detection (AD)”.

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The Value of Precision Quality Standards

The Value of Precision Quality Standards

When equipment working parts are operated within their precision quality standard zones, world-class reliability is guaranteed.

The figures below demonstrates the importance of setting precision quality standards to achieve outstanding equipment reliability. It comes from a conference presentation on the production equipment reliability improvement in a steel mill in Australia.

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Understanding Remaining Useful Life (RUL) with the P-F Curve

Understanding Remaining Useful Life (RUL) with the P-F Curve

Recently, there has been an influx of Industry 4.0 companies promising their product/application would help predict the Remaining Useful Life (RUL) of a physical asset. Each uses a mix of machine learning algorithms to estimate the RUL based on the data available. This is their value proposition. But what is this ‘life’?

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Maintaining Equipment Reliability Amidst Frequent Employee Turnover

Maintaining Equipment Reliability Amidst Frequent Employee Turnover

The mining industry in Australia has for some time been plagued by high turnover in its skilled maintenance workforce. The tough lifestyle and remote/regional locations are some of the main contributing causes, and have been for years, however other industries of employment offering competitive wages and a better lifestyle have in the recent years pulled the workforce from mining, leaving a void of labor numbers behind that have proved difficult to fill.

The common query, “How do I keep equipment reliability up, even with high turnover?” prompts a standardized response from most maintenance professionals – proceduralize the maintenance system to reduce variability and maintain consistent output. However, while this approach bears truth, it overlooks a substantial aspect…

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1770-1806 The Battle of Trafalgar and the Timber Crisis

1770-1806 The Battle of Trafalgar and the Timber Crisis

Ships Don’t Last Like They Used To

Robert G. Albion was a notable historian of maritime affairs. He taught at Princeton and Harvard, and was one of the US Navy’s chief historians during World War II. In one of his books, Albion examined how timber management in Britain affected naval shipbuilding and maintenance policies.

In the late 1700s, the British Empire was more dependent on the navy for power projection, home defense, and security of maritime trade. In the age of sail, the average ship life was between 10 and 20 years. In the 17th century, British naval ships lasted 25-30 years. Albion found their average service life to be only 13 years in 1771. By 1792, service life fell to 12 years. In the Napoleonic period, the lifespan fell to only 8 years.  

“The ‘life’ or duration of a ship was reckoned from the date of her launching to the time when her condition necessitated repairs as costly as the construction of a new ship.” The British determined service life by a basic level of repair analysis.

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The “Bath Tub” Curve Explained

The “Bath Tub” Curve Explained

Introducing the “Bath Tub” curve concept

In the Reliability and Maintenance world, we often refer to what is known as the “bathtub” curve and ask the question: “What is the bathtub curve for this equipment?” The name “bathtub” comes from the equipment failure rate curve resembling a sanitary bathtub’s longitudinal section. In reality, it is rarely symmetrical and looks more like a distorted “u” or “v” shaped figure. The bathtub curve can be useful in various circumstances and help an operator better manage their assets over time. However, it is important to understand where it comes from and what it means so we can avoid misusing or misinterpreting it.

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What gets Monitored, gets Measured, gets Improved

What gets Monitored, gets Measured, gets Improved

Proponents of the Continuous Improvement method often quote the dictum ‘what gets Measured, gets Improved’. I’d like to modify it by adding ‘what gets Monitored…’ to its beginning. Here I’m referring to the Monitoring of the physical assets in their usage conditions and being Measured & Improved for their Reliability (Availability %, Cost $, MTBF, etc.) and Safety metrics.

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How to Use Ben Franklin’s Distribution Curves for Performance Monitoring

How to Use Ben Franklin’s Distribution Curves for Performance Monitoring

 Use Ben Franklin’s Distribution Curves for Performance Monitoring and Fast Improvement. Ben Franklin used statistical analysis to change his life. By measuring his ‘gaining of Virtue’ he quickly became rich and famous. You can change your business performance in the same way. But be cautious – Franklin’s method changed his behaviour forever.

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Conditional Reliability and Boardroom Conversations

Conditional Reliability and Boardroom Conversations

Definition of Reliability

Reliability, in its academic root, is defined as the probability that a system will perform its intended function in a specified mission time and within specific process conditions. Reliability (R) is related to the Probability of Success as opposed to the Probability of Failure (F), and the relation between R and F is:

$$ \displaystyle \large R = 1 – F (t) \ \:\:\:\: \:\:\:\: (for \:mission\: time\: t) $$

In the above context, a reliability example would be: What is the probability that a centrifugal pump in a sheltered enclosure will push 3,000m3/day of sweet crude oil without unplanned failures for a period of 8,760 running hours?

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