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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About the Author: admin
Yu Jordan Zhao has over 18 years’ experience in the SCADA operation technology and maintenance applications across multiple sectors including renewable energy, water, wastewater, oil and gas and environmental conservation in Australia. Yu has a wealth of knowledge in many technical areas including SCADA architecture design, hosted SCADA servers integration, RTU, PLC, radio, cellular, OT and. His goal is to drive innovation within the business to provide better services and technologies to clients.
