The utilities which have high-capital assets are looking to cut the maintenance costs by applying machine learning for predictive maintenance. The machine learning software’s obtain data from SCADA systems which collect information from field devices such as PLC’s, Drives, and various sensors. This database is then analysed to give a result.
Data Analytics for Preventive Maintenance
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Australian Control Engineering (ACE) leads Australia in SCADA, control systems, and operational technology solutions, with over 10 years’ expertise across renewable energy, water, wastewater, oil and gas, and environmental sectors. ACE excels in SCADA architecture, hosted servers, RTUs, PLCs, radio, and cellular technologies. Committed to innovation, ACE delivers tailored, reliable solutions enhancing efficiency, sustainability, and infrastructure resilience. ACE’s client-centric approach ensures measurable outcomes, positioning clients ahead in technology and sustainability.
