Scotland Data Science & Technology MeetUp: Augmented Engineering Intelligence for Industrial Equipment in the Energy Sector

Augmented Engineering Intelligence for Industrial Equipments in the Energy Sector

Predicting failure is a very well known and difficult problem. There are good reasons for that - known failure modes are scarce, let alone unknown failure modes (dreaded “black swans”), capable of causing the most damage. Also, equipments generate immense streams of multidimensional data, representing highly connected systems, thus anomalous patterns can be easily missed by humans alone. The mostly unlabelled data makes it almost impossible to create an acceptable supervised ML model. Instead, we present an unsupervised deep learning approach, inspired and adapted by the works of Google on smart buildings, to create a set of Early Warning Notifications for industrial equipments.

Bio: Pedro Santos (www.linkedin.com) is the Lead Data Scientist at Digital & Data (Total Energies UK). He is specialised in turning ideas into actionable business insights with machine learning. In 2021, the team which he is part of won the Oil & Gas UK Business Innovation Large Enterprise Award.

to (Europe/London time)

More details and tickets: www.meetup.com

Imported From: www.meetup.com

More Information

This is a group for anyone interested in Data Science, Big Data, Analytics and Technology trends. We started this group to build a community to discuss general insights into the market and share personal experiences of working and operating in this area. We hope to cover skills shortages, technological advancements and organisational implications in Data Science and Technology during our series of meetups. All skill levels are welcome.