Predictive Maintenance
Platform for Pinnacle Energy
Client
Pinnacle Energy
Category
Operations
Year
2022
42%
Downtime Reduction
$6M
Annual Savings
2,400
Sensors Monitored
89%
Alert Precision
The Challenge
Pinnacle Energy's 47 power generation facilities were experiencing an average of 23 unplanned outages per year, each costing $260K in lost production and emergency repairs. Maintenance was entirely reactive, with no predictive capability.
Our Approach
Lumina's engineering team analyzed 3 years of sensor data from 2,400 IoT devices across all 47 facilities. Machine learning models identified 14 failure signatures that preceded 91% of historical outages, with an average lead time of 72 hours.
The Solution
We deployed a Predictive Maintenance Platform that monitors all 2,400 sensors in real time, generating maintenance alerts with 89% precision. Maintenance teams receive prioritized work orders 72 hours before predicted failures, enabling planned interventions at 1/8th the cost of emergency repairs.
PM
"We've gone from fighting fires to preventing them. The $6M savings is real, and our team's confidence has never been higher."
Robert Osei
VP of Operations, Pinnacle Energy
