Feature
Orchestrating Sustainable Success: The Power of Predictive Maintenance and Human Behaviour
Here, Jeff Dewing, CEO of Cloud delves into the world of predictive maintenance. The piece sheds light on the vital role of predictive maintenance in bridging technology and human behaviour to drive change.
In an era where global efforts are laser-focused on achieving energy
The Data Revolution: Fingerprinting Our Equipment efficiency and sustainability, an innovative approach
emerges – predictive maintenance. Imagine a world where we can prevent problems before they even occur. That’s the tantalising promise of predictive maintenance.
It’s not just
about fixing things when they break; it’s about using technology to turn data into pre-emptive action, embracing the age-old principle of ‘prevention is better than cure. In turn, not only can costs be drastically reduced, but the data can be used to identify the most energy-consuming assets to help identify areas for reduction and increased sustainability.
Harmonic Distortion: The Musical Note Of Equipment Health
Electrical equipment isn’t just noisy; it’s like a symphony of energy flow. Just as a discordant note stands out in an orchestra, so does harmonic distortion in electrical waves generated by switches, relays, and transformers. The result is a clear indicator of equipment health.
Predictive maintenance takes this concept and runs with it. By assessing equipment at the harmonic level, we can predict maintenance needs like never before. It’s like having a crystal ball for your machines and appliances. This tech can be seamlessly integrated into existing electrical distribution boards, dissecting the electrical currents consumed by different equipment. From there, it tells you whether your equipment is humming along fine, giving you a subtle nudge when it’s time for maintenance, or outright screaming when it’s on its last legs. But it doesn’t stop there – it can also spot those sneaky energy-draining anomalies, helping you in your quest for energy conservation and sustainability.
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The more equipment we monitor with this harmonic data, the smarter it gets. Deployed far and wide in retail and commercial sites across the UK, this system can get to work “fingerprinting” equipment like pizza ovens and chillers. It creates baseline harmonic distortion profiles – like unique fingerprints for each machine. So when something goes awry and your equipment starts playing a different tune, it alerts you. These profiles serve as valuable tools for maintenance planning, enabling timely interventions and reducing unexpected repair costs.
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