At first, Entergy’s plan was fairly simple.
Chris Morrow, fleet assets superintendent for the New Orleans-based electric utility, said the company knew they wanted to move away from time-based preventive maintenance for their 6,000-unit fleet to a service program that was more usage-based.
What they have since discovered is that the power of telematics and data analysis can unlock a predictive model for fleet maintenance.
Predictive maintenance has helped them flag problems prior to major equipment failures, reduce unplanned downtime and parts spending, and refocus technicians on diagnostic work instead of lengthy repairs. All of these benefits have resulted in significant savings.