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
Function
Benefits
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
Industry
Energy
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