What does predictive maintenance rely on?

Predictive maintenance relies on a maintenance program that is based on performance data. This approach utilizes various analytical tools and techniques to predict when equipment is likely to fail or require maintenance. By analyzing historical performance data, usage patterns, and current conditions, predictive maintenance allows organizations to anticipate failures before they occur. This proactive strategy helps in scheduling repairs or replacements at the most opportune times, reducing unplanned downtime and minimizing the overall maintenance costs.

In contrast, regular inspections, random checks, and consumer feedback do not utilize the same level of data-driven analysis and forecasting. Regular inspections can help catch maintenance needs, but they do not provide the predictive element essential in a predictive maintenance program. Random checks lack the systematic analysis provided by performance data, and while consumer feedback can inform about potential issues, it is not a reliable method for predicting maintenance needs on equipment or systems.