Why energy is the new KPI for smarter maintenance

Energy-based maintenance (EBM) is an emerging approach that uses the energy consumption profiles of equipment as a key indicator for maintenance needs. 

Simply put, EBM asks: What can a machine's energy use tell us about its health? This concept might sound abstract, but it has very concrete implications. 

By tracking how much energy machines consume, maintenance teams can detect developing faults, optimise maintenance schedules, and even contribute to environmental goals. 

Research shows that energy consumption can serve as a maintenance indicator for both diagnosing faults and predicting failures.

What is Energy-based maintenance?

EBM is a maintenance strategy that treats energy usage as a critical source of information about machine condition. Traditional maintenance metrics focus on factors like vibration, temperature, or run-hours. EBM, however, considers the energy a machine consumes (e.g., electrical or hydraulic power) during operation.

The core idea is that as a machine deteriorates or operates under suboptimal conditions, its energy efficiency changes – often subtly at first. By monitoring these changes, companies can identify issues earlier and make maintenance decisions based on evidence (energy data) rather than just schedules or after-the-fact failures.

In essence, EBM integrates maintenance with energy management, aligning machine health with energy efficiency goals.

A simple example

Imagine a small manufacturing firm with an air compressor that normally runs at a steady 50 kW. Over time, the compressor's air filter becomes clogged. A traditional maintenance approach might miss this until the machine starts overheating or fails.

With EBM, however, the rising energy draw (say 55 kW, then 60 kW for the same output) would be a red flag. The maintenance team, seeing the compressor's energy consumption creep higher than normal, investigates and finds the clogged filter. A fix is made before a costly breakdown occurs.

In this hypothetical yet realistic scenario, energy data acted as an early diagnostic signal. It identified a problem (filter clogging causing inefficiency) that, if left unchecked, could lead to failure. The example underscores how EBM shifts maintenance from a reactive stance to a proactive, condition-based strategy informed by energy metrics.

Why use energy as a maintenance metric?

Energy is often called a "universal" measurement – and for good reason. It ties directly into operational performance, cost, and sustainability.

Here are key reasons energy proves to be such a powerful maintenance metric:

• Diagnostics (Fault Identification): Machines often consume more energy when something is wrong. By tracking energy patterns, EBM helps pinpoint why a fault is occurring. Sudden spikes or gradual drifts in energy use can be correlated with specific fault modes, aiding in root cause analysis. Studies show that incorporating energy consumption data improves fault diagnostics – energy becomes a telltale signature that maintenance teams can read to identify issues.
• Prognostics (Failure Prediction): Just as energy can diagnose current issues, it can also predict future ones. Trends in energy consumption often foreshadow developing problems. EBM leverages these trends to estimate when a failure might happen or how much useful life is left, enabling truly predictive maintenance. Using energy in this way shifts maintenance from fixing what's broken to preventing breakage – a hallmark of modern Industry 4.0 practices. Researchers note that energy data can be used for prognostic feature selection in maintenance models, meaning it helps algorithms forecast equipment health and remaining life with greater accuracy.
• Optimisation & Efficiency: Energy-based metrics open the door to optimising both maintenance activities and production processes. When maintenance decisions consider energy, teams begin to schedule interventions at points that minimise waste. Over a whole factory, these optimisations add up – less energy wasted on underperforming equipment and less time lost to inefficient operation. In practical terms, this might mean adjusting maintenance intervals dynamically: a machine that stays energy-efficient can run longer between services, whereas one showing energy degradation gets attention sooner. The result is a more efficient use of resources (parts, labour) and smoother production with fewer hiccups. Indeed, studies have observed that undertaking maintenance actions based on energy data yields more tangible benefits for operational performance and sustainability than relying solely on traditional metrics like component age or runtime.
• Sustainability (Energy & CO₂ Reduction): Energy isn't just a line on the utility bill – it's closely tied to environmental impact. Every kilowatt-hour saved in electricity or a litre of fuel not burned translates to reduced carbon emissions. By framing maintenance in terms of energy, EBM directly links to sustainability goals. Maintenance engineers can translate energy anomalies into CO₂ equivalents, making it clear how fixing a problem will cut emissions. This resonates with the growing demand for greener operations. In fact, neglecting metrics like energy efficiency or carbon footprint in maintenance decision-making is now seen as a setback for industrial progress. EBM helps overcome that by embedding sustainability into everyday maintenance decisions – transforming maintenance from a purely operational concern into a driver for corporate social responsibility.
• Monetary Value (Cost Savings): Ultimately, energy is money. Wasted energy shows up in the utility bill and erodes profit margins. EBM provides a clear financial incentive for maintenance: fix the issue, and you stop throwing money away on inefficiencies. By monitoring energy use, companies can quantify how much a fault or degradation is costing in real time. This makes it easier for maintenance managers to build a business case for timely repairs or upgrades. A crucial advantage of using energy as a metric is its direct convertibility to monetary terms. Unlike a subtle change in vibration amplitude (which might mean little to a CFO), an extra 10 kW of power use can be immediately translated to euros and cents. This common currency of energy and money bridges the gap between the factory floor and the boardroom. It elevates maintenance discussions to include cost-benefit analysis grounded in energy data – for example, investing in a repair now to avoid higher energy costs and future breakdowns.

Energy-Based Maintenance turns energy consumption into a rich source of maintenance intelligence. For SME managers and industrial decision-makers, EBM offers a dual promise: better machine reliability and improved efficiency.

Embracing EBM can thus be seen as a win-win: machines run smoothly, and they do so in a way that uses less energy and resources. In a world where both operational excellence and sustainability are key business KPIs, demystifying and adopting EBM could give forward-thinking SMEs a valuable edge.