Category Archives: CBM
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.
Thoughts from a mine maintenance engineer
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
Deploying the CBM model
Automated CBM decisions It has been said that unless CBM can be automated, its usefulness is minimal. That is because there just aren’t enough human resources in a maintenance department to eyeball data as it arrives and decide on a … Continue reading
Posted in CBM, Exercises, Reliability Analysis
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Building a CBM decision model
EXAKT modeling application You will learn the basic functions of the EXAKT model building software and the EXAKT decision agent software. You will use a reduced set of oil analysis data from a fleet of haul truck transmissions to build … Continue reading
Posted in CBM, Exercises, Reliability Analysis
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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
Posted in CBM, Data and samples, EAM, LRCM, Managing LRCM, Reliability Analysis
Tagged Continuous improvement, EXAKT, LRCM
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