Physics-Informed Deep Learning Empowering Intelligent Fault Diagnosis

As part of the IAS Festival of Failure, IAS Visiting Fellow Professor Ruqiang Yan delivers a seminar - 

The Prognostics and Health Management (PHM) system revolutionizes the management of complex high-end equipment throughout its entire lifecycle, enabling intelligent operation and maintenance in the era of Industry 4.0. Within this system, fault diagnosis plays a pivotal role and is undergoing significant transformation. Presently, data-intensive science, propelled by deep learning, has surpassed the constraints of physics-based models in handling big data, emerging as a crucial approach for diagnosis. However, the lack of intuitive comprehension of physics models presents challenges to data science in terms of interpretability and reliability.

This talk will focus on a collaborative approach that integrates data science with physics models to achieve intelligent fault diagnosis through collaborative deep learning structures known as physics-informed deep learning. This collaborative approach offers advantages in interpretability, controllability, and knowledge discovery, allowing for a more comprehensive understanding of the evolution of physical systems in the big data era.

Arrivals from 1:45 pm for a 2:00 pm start. For those joining in-person, lunch will be served before the seminar from 1:00pm.

This event is hybrid format, please use the required booking button at the bottom of the page to choose either in-person or online attendance.
(Please note that in-person spaces are limited and booking is required, so we can manage numbers for catering and also the space inside International House)

By booking a place at this event, attendees agree to behave in a respectful manner such that everyone feels comfortable contributing as they wish. The IAS reserves the right to eject anyone who does not abide by this policy.

IAS seminars are typically recorded, minus any Q&A sessions at the end, again to encourage contributions. The recordings are then uploaded to our website on a Fellows bio page and/or Programme page, along with our IAS YouTube Channel. If you are not able to attend a seminar live online, please do still register for the Zoom Webinar as we will email everyone who registered to let them know once the recordings are made available.