
What Reliability Actually Means: The Four Elements Every Definition Must Contain
What is reliability engineering? Reliability is a probability with four mandatory elements: function, conditions, interval and probability. Explained simply.
Read morePractical guides to the foundations of good asset management, drawn from our work across the heavy asset industry and written for the engineers, planners and managers who apply them on site.
16 guides

What is reliability engineering? Reliability is a probability with four mandatory elements: function, conditions, interval and probability. Explained simply.
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The four reliability functions R(t), F(t), f(t) and h(t) explained from first principles, with the master relationship derived step by step.
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Censored data reliability analysis explained: the four censoring types, why suspensions must stay in the fit, and the gate that decides which method applies.
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Weibull distribution beta eta explained from first principles: what beta and eta physically control, why eta is the 63.2% life in the two-parameter form, and when gamma applies.
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Weibull probability plotting step by step: the linearising transform, adjusted ranks for suspensions, Benard median ranks, and reading beta and eta by hand.
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Interpreting Weibull plot beta, fit quality and diagnostics: recognise mixed failure modes, corner points, curvature and misleadingly high correlation.
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Compare median rank regression vs maximum likelihood Weibull estimation, small-sample beta bias, B-life confidence bounds and method disclosure.
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Forty-eight tubes, four years, zero failures. Turning a clean run history into a defensible lower bound on characteristic life, and sizing a test to prove a target.
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Turn component reliability into one system figure using series, active parallel, k-of-n and standby redundancy models.
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Understand the three availability definitions, their formulas and the organisational gaps between them.
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Build from a precise top event to gates, minimal cut sets, quantified risk and ranked improvement actions.
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Calculate a replacement interval from Weibull life data, cost terms and the sensitivity that moves the answer.
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Asset criticality analysis explained: build a consequence-based framework that drives maintenance strategy, spares, inspection and capital decisions.
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FMECA identifies what can fail and how severe it is. RCM decides what to do about it. Learn to write failure modes, functions and tasks with precision.
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Spare parts management for mining and oil and gas: classify spares, size stock with EOQ and safety stock, and build a resilient supply chain strategy.
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One gearbox, one hundred weeks, thirteen events and only eight of them failures. Choosing the model, fitting the trend, and testing whether the PM is doing anything.
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An asset management system governs physical assets from planning to disposal. Learn what ISO 55000 and ISO 55001 require, how the discipline is structured, and what it means in practice.
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Asset management maturity describes how an organisation actually makes asset decisions. See what each level looks like in practice and what moving up takes.
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Asset lifecycle management shifts capital decisions from annual cost to whole-of-life value. Learn the phases, costs and disciplines that change outcomes.
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How asset lifecycle costing turns capital investment decisions into evidence, using NPV, EAC, economic life and the data inputs a defensible model depends on.
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How a structured functional location hierarchy gives heavy asset operations reliable reporting, cleaner data and a foundation for cross-site benchmarking.
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A practical guide to asset classification: how asset class, type and variation give your operation one common asset language, from plant floor to boardroom.
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How a strong equipment hierarchy turns a flat asset list into structured knowledge that drives reliability, standardisation and better maintenance decisions.
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CMMS data quality depends on structured failure codes, not free text. What ISO 55001 and ISO 14224 require, and how to build a failure code system that works.
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A practical guide to writing an asset management policy: what it must contain, how to build one, how to adapt it by industry, and where it belongs in the business.
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How a strategic asset management plan (SAMP) translates organisational objectives into asset management objectives, what it must contain, and how to build one.
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What a genuinely useable Asset Management Plan covers for one asset class, from value and cost decisions through to delivery, data, people and risk.
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ISO 55001:2024 revised the international standard for asset management systems after a decade of global implementation experience. Understand what changed from the 2014 version, what works, where the gaps remain, and the transition roadmap for moving ISO 55001:2014 certificates to the 2024 edition by 31 July 2027.
Read moreFrom asset classification to a working asset management system, our team puts these foundations to work on your assets.
