We created this predictive maintenance checklist to transform how you monitor and maintain critical equipment. This template establishes a systematic approach to condition-based maintenance, helping you detect potential failures before they impact operations. It guides your team through setting up sensor monitoring thresholds, data analysis procedures, and maintenance triggering events specific to your equipment.
When implemented on production machinery, for instance, you’ll move from calendar-based maintenance to intelligent, just-in-time interventions that reduce unnecessary parts replacements while preventing costly breakdowns. Studies show organizations adopting predictive maintenance typically reduce unplanned downtime by 50% while cutting maintenance costs by approximately 15-25%.
