Category Archives: LRCM

Predictive analytics

The advent of the Mesh Living RCM cloud service brings true predictive maintenance to the forefront of Condition Based Maintenance (CBM) technology. The mind map describes the elements of this new capability offered to maintenance departments.

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Achieving reliability from data – course summary

Course Structure Module Section Part Quizzes Basic Decisions 1 1 1 Maintenance History Tracking 1 2 – Initial RCM Introduction 2.1 1 1,2,3 Initial RCM Introduction 2.1 2 1,2,3 Initial RCM Functional Analysis 2.2 1 1,2,3 Initial RCM Failure Modes … Continue reading

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Mesh: 12 steps to achieving reliability from data

Mesh is a Living RCM (LRCM) knowledge management system. It interfaces with the EAM in order to achieve two principal objectives: Ensure systematic knowledge update whenever a technician encounters divergence between the RCM analysis and an observed failure behavior, and, … Continue reading

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ACIEM conference paper on LRCM

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Achieving reliability from data – course outline

Living RCM Certified® course Summary 1 Maintenance decisions – basic problem statement When to maintain? (7:20) The basic problem Reliability attributes Can the probability distribution be known exactly? Wide versus narrow distribution Adding a dimension Formal definition of CBM Decision … Continue reading

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