Tag Archives: LRCM

Predictive analytics

Posted on June 23, 2016 by Murray Wiseman

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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Thoughts from a mine maintenance engineer

Posted on June 7, 2016 by Murray Wiseman

A mine maintenance engineer writes: My topic of interest is on how to evaluate the risk, failure effects and cost implications on components and work in general, in order to achieve the best cost per hour scenario and availability of … Continue reading →

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Achieving reliability from data – course summary

Posted on April 6, 2016 by Murray Wiseman

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 →

Posted in LRCM, Training | Tagged , | 4 Comments

Mesh: 12 steps to achieving reliability from data

Posted on April 1, 2016 by Murray Wiseman

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 →

Posted in CBM, Data and samples, EAM, LRCM, Managing LRCM, Reliability Analysis | Tagged , , | 1 Comment

ACIEM conference paper on LRCM

Posted on March 30, 2016 by David Velandia
Posted in Case studies, EAM, LRCM | Tagged , | Leave a comment