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AI Use Case

Predict problems and recommend proactive maintenance for power generation and supporting equipment

Predict failure and recommend proactive maintenance for mining, drilling, power generation, and moving equipment



Operational - Increased machine uptime,Cost - Lifecycle maintenance support cost reduction,Cost - Asset uptime optimisation

Case Studies

"Large European integrated electric power company~A large european integrated electric power company is predicting, diagnosing and reducing equipment failures in conventional power plants with machine learning",Enel~Enel is reducing operational and capital expenses by predicting maintenance and improving asset performance using machine learning,London Fire Brigade~The London Fire Brigade identifies the areas prone to fires in ducting systems to provide targeted maintenance using natural language processing ,Rice University~Rice University researchers improve on the state-of-the-art for wind turbine icing detection with a CNN

Potential Vendors

C3 IoT,C3 IoT,ASI Data Science



Renewable Energy

Data Sets

Structured / Semi-structured,Time series

AI Technologies

Machine Learning (ML),ML Task - Action Selection - Reinforcement Learning ,Product - Data Capture - Telematics,Product - Data Capture - Sensor IoT,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Regression,ML Task - Grouping - Anomaly Detection

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