top of page

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

Potential Vendors

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



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)

bottom of page