This guide outlines a five-step process for implementing predictive maintenance, starting with identifying equipment that contributes to downtime and prioritizing assets based on criticality, failure history, cost, and complexity. Organizations should determine which metrics—such as vibration, temperature, and current—provide meaningful insight into asset health and use sensors to track performance trends that signal early deterioration. Selecting scalable monitoring technology enables real-time visibility, supports informed maintenance decisions, and improves uptime. Beginning with a pilot program allows teams to validate value, mitigate risk, and expand quickly as benefits are proven.

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