Topic Hub

Predictive Maintenance with Industrial IoT

Moving from reactive to predictive maintenance transforms how industrial facilities operate. Instead of waiting for failures or following rigid schedules, organizations can predict when equipment will fail and intervene at the optimal time. This comprehensive guide covers the technology, implementation, and business case for predictive maintenance.

What is Predictive Maintenance?

Predictive maintenance uses condition monitoring data to predict when equipment will fail, enabling maintenance to be performed just before failure occurs. Unlike preventive maintenance (time-based schedules) or reactive maintenance (run-to-failure), predictive maintenance optimizes the timing of maintenance activities based on actual equipment condition.

Condition Monitoring

Continuous measurement of equipment parameters—vibration, temperature, current, pressure—that indicate health and degradation trends.

Failure Prediction

Using historical data, physics-based models, and machine learning to predict when equipment will fail or require maintenance.

Maintenance Optimization

Scheduling maintenance activities based on predicted condition to minimize downtime, maximize equipment life, and reduce costs.

Ready to Implement Predictive Maintenance?

Whether you're starting from scratch or expanding an existing program, Cohera provides the flexible platform and expertise to succeed.