AI Use Case

Predict maintenance requirements

Improve preventative maintenance and Maintenance, Repair and Overhaul (MRO) performance with greater predictive accuracy to the component and part-level. Predictive maintenance predicts when certain products or devices are in need of maintenance what sort of maintenance, the likely maintenance and replacement materials, and technician skill sets.



General Operations


Cost - Asset uptime optimisation,Operational - Increased machine uptime,Cost - Optimise resource allocation

Case Studies

Siemens Gamesa Renewable Energy~Siemens Gamesa Renewable Energy reduces inspection time of wind turbine blades by 75% by using non-destructive testing,Origin~Origin achieved 80% accuracy in identifying low production wells and $50M in savings using machine learning applications from C3 IoT,Rolls Royce~Rolls Royce plans to predict maintenance requirements for jet engines to improve aircraft efficiency using Microsoft Azure's machine learning,EDF Energy~EDF Energy wishes to monitor power station conditions in real time and predict maintenance requirements using machine learning,Deutsche Bahn~Deutsche Bahn reduces maintenance cost by 25% and delay-causing failures using machine learning,San Diego County~San Diego plans to implement predictive building management and maintenance software from Site 1001 to improve operations efficiency,Enedis~Enedis reduces high-tension electrical grid outage with predictive maintenance using supervised learning,US Army~US Army plans to test machine learning for predictive maintenance on combat vehicles,Big River Steel~Big River Steel predicts and optimises the maintenance of its machinery and equipment using machine learning. ,Dubai Airport~Dubai Airport enhances customer experience by doing predictive maintenance using machine learning,IBM~IBM launches Equipment Maintenance Assistant to predict equipment maintenance requirements and aid technicians in diagnosis and repair using machine learning,Rolls Royce~Rolls Royce to identify operational issues in advance using machine learning analytics ,London Fire Brigade~The London Fire Brigade identifies the areas prone to fires in ducting systems to provide targeted maintenance using natural language processing ,NASA~NASA successfully researchers detection of anomalies in rocket propulsion using machine learning ,Enel~Enel Green Power North America and Raptor Maps streamline solar facilities’ faults detection using machine learning,Shell~Shell predicts maintenance requirements for its equipment with the use of machine learning



Machinery Equipment And Components

Data Sets

Time series,Images,Structured / Semi-structured

AI Technologies

Model Architecture - RNN - Long Short-Term Memory (LSTM),Machine Learning (ML),ML Task - Prediction - Binary Classification,ML Task - Prediction - Regression,ML Task - Prediction - Multi-class Classification,Product - Data Capture - Sensor IoT,ML Task - Grouping - Anomaly Detection,Model Architecture - Deep Neural Networks,Model Architecture - Artificial Neural Network (ANN),ML Task - Action Selection - Reinforcement Learning ,ML Task - Prediction - Annotation,Model Architecture - Convolutional Neural Network (CNN)

Potential Vendors

Fujitsu,C3 IoT,Microsoft Azure,KONUX,Site 1001,DCBrain,Uptake Technologies,,IBM,UpTake,ASI Data Science,Raptor Maps,C3 IoT,Microsoft