Live Webinar - Revolutionising Industrial Fault Detection with AI and Machine Learning

Many industries are looking to AI to deliver increased efficiency and improve product quality by automating production process monitoring and maintenance scheduling. Even when production lines and machines are instrumented with sensors as part of digital transformation, engineering teams often lack the specialised skills required by predictive maintenance and advanced process analytics.
This webinar will demonstrate statistical and machine learning techniques in MATLAB on real-world datasets to monitor manufacturing processes and detect and identify machine failures. In addition, we will show different techniques to extract diagnostic markers and features from raw sensor data.
Highlights
Detecting anomalies in sensor data from manufacturing process
Exploring various techniques, including wavelets, to extract features from raw data
Training classification models for fault identification in hydraulic rock drills
Operationalising models and algorithms as a microservice