This table top demonstration predicts failure by compiling and analyzing the history of an equipment that can fail at any time. The principles of Living RCM are applied as a prerequisite for smart Condition Based Maintenance (CBM). The failure mechanism, as in the real world, is subject to random external and internal stresses. The challenge facing all maintenance engineers is to confidently predict and thereby preempt failure in order to avoid its direst consequences. The question, therefore, that daily confronts the maintenance department is: “Given current monitored data, what maintenance action, if any, shall I take in order to best attain long run business profitability?”
The obstacle to implementing Smart CBM in any maintenance department is the lack of a Living Reliability Centered Maintenance (RCM) process. Living RCM (LRCM) ensures that the Enterprise Asset Management (EAM) system will contain the right data needed for practical reliability analysis and prediction modeling. Our MESH™ LRCM software system and procedures, will continuously improve your maintenance decision process.
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