Executive Summary

• The transition to Net Zero is changing the power grid from two sides: rising electricity demand from data centres, EVs (electric vehicles), and the electrification of heating, combined with a more distributed and less predictable renewable supply, is driving urgent demand for real-time asset monitoring
• Megger, as an industry leader, is moving increasingly towards a monitoring-first approach, combining automated anomaly detection through wired and wireless sensors feeding into cloud platforms, with human expert verification to filter out false alarms and deliver reliable, actionable insights to maintenance teams
• Future outlook: As technology progresses, integrated solutions are becoming more preventative than reactive. Monitoring solutions like the ICM Observer and ADX Analyser are driving the shift from isolated testing snapshots to continuous, data-rich asset health management; reducing unplanned downtime and extending the lifecycle of critical infrastructure

Megger, a global leader in electrical test and measurement, is making the case that condition monitoring is no longer optional; it is a strategic necessity. In this exclusive interview from Electrical Insight, Sean Jackson from Megger’s online monitoring team (UK and Ireland) explains how the twin pressures of rising demand and a changing energy mix are forcing utilities to rethink how they manage ageing assets.

Navigating the Net Zero Time Crunch Cooker

The global transition to Net Zero is not just a policy shift; it is placing the power grid under pressure from both sides. According to Sean Jackson of Megger (UK & Ireland), utilities are managing two forces simultaneously: surging electricity demand from data centres, electric vehicles, and the electrification of heating, while also integrating a renewable supply that is increasingly distributed and less predictable.

“Utilities are trying to manage a grid that’s becoming more complex from two sides; higher demand on one hand and a more distributed and less predictable supply on the other,” says Jackson. “That’s where suppliers can help, with things like online monitoring sensors and gathering real-time data about asset condition.”

Prime Root Causes of System Vulnerability

As the grid evolves, the risk of failure increases dramatically. Jackson identifies that for rotating machines, the most common failure modes are insulation deterioration, thermal stress, mechanical faults, and bearing failures. Many of these issues develop gradually over time; making early detection the key to preventing unplanned outages. Partial Discharge (PD) monitoring targets stator insulation health, providing an early warning long before a fault develops.

For mechanical faults, vibration monitoring detects bearing wear, misalignment, unbalance, and looseness by tracking the distinctive vibration signatures each fault creates.

The shift Jackson describes is clear: from periodic, time-based inspection to continuous, data-driven condition monitoring; understanding in real time how much load an asset can safely handle and acting before failures occur.

The Future: AI and Digital Twins

AI is beginning to have a real impact on condition monitoring and predictive maintenance. Megger’s reliability service already uses wired and wireless sensors feeding into a cloud-based platform where anomalies are flagged automatically. Reliability specialists then verify each diagnosis before it reaches the customer; a critical step Jackson stresses is essential to avoid false alarms and ensure actionable insight. Looking ahead, the industry is moving towards fusing multi-sensor data with deep learning, with digital twins representing the next step in predictive accuracy.