Discover how ECM helps you tackle energy waste & unplanned downtime with a signle data-driven approach.
Energy-Centered Maintenance (ECM) is transforming predictive maintenance with energy optimization. We explore how to close the gap between traditional reliability practices and energy efficiency.
What You’ll Learn:
- What is Energy-Centered Predictive Maintenance (ECM)?
- Key differences between ECM and traditional reliability models.
- How energy data enhances predictive maintenance.
- How ECM supports sustainability and ESG goals.
Why It Matters:
Traditional maintenance relies on fixed schedules and reacts to failure. But machines in distress consume more energy!
ECM turns energy signals into actionable insights, helping you detect issues earlier.
The result? Increased uptime, reduced energy costs, and a maintenance strategy built for performance, efficiency, and sustainability.
About Kevin

Kevin has more than 35 years of experience in global operations leadership focusing on advanced technologies in operations, engineering and asset management. Previously, he served as Vice President, Fortive Corporation (Fluke/Accruent), Falkonry AI (investment company), where his strategic roles drove growth in Enterprise Asset Management and AI/Predictive Technologies.
While he spent his earliest years as a manufacturing technician, he later advanced to a leadership/engineering career at Caterpillar and held numerous senior leadership roles at Johnson & Johnson, including operations/maintenance management and Global Manufacturing Equipment Excellence (ME2) leadership.
Kevin is a long-standing member of the Society of Maintenance & Reliability Professionals (SMRP), has held various positions at regional and national levels, and has been a Certified Maintenance & Reliability Professional (CMRP) since 2004 and serves on various advisory boards in the industrial space.
About Nanoprecise Sci Corp
Naoprecise Sci Corp is an AI-powered energy centered predictive maintenance solution combining IoT sensor technology with artificial intelligence and machine learning to improve efficiency of machines and contribute to sustainability. Learn more about our solutions!