Maximising the Value of Test Campaigns Using AI | A Fuel Cell Case Study

Logo
Presented by

Arnaud Doko, Jousef Murad

About this talk

Validating the intractable physics of complex, non-linear systems, such as fuel cells, is time-consuming and costly. Testing every possible scenario is not feasible, yet over-testing confirms what's already known while under-testing risks failing certification or missing issues. Join Monolith engineers Arnaud Doko and Jousef Murad to discuss how the AI software enhances test engineers to reduce validation time while significantly increasing learning from each test. In this session, engineers will learn how to train and evaluate machine learning models, receive recommendations for the next tests to perform, and optimise the testing process overall. The featured dataset contains Nafion 112 membrane standard tests and MEA activation tests for PEM fuel cells in various conditions. The data provides insight into fuel cell behaviour during different tests and conditions, making it useful for analysis, simulation, and material performance investigation in PEM fuel cell research. In this webinar, you will learn how to: – Predict a new test's outcome ahead of time. – Leverage your test data to train and evaluate AI models to efficiently use testing times in expensive test facilities. – Understand the impact of test conditions and know which are most important to vary from one test to the next. – Use interactive prediction features to explore the next tests to run.
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (11)
Subscribers (247)
Monolith software is trusted by the world’s top engineering teams including Rolls Royce, Siemens, Honeywell, and BMW to develop better quality products in half the time. Backed by one of world’s largest software investors and recognized by Gartner as a Cool Vendor for AI in Automotive, Monolith AI empowers engineering domain experts in automotive, aerospace and industrial markets to reduce expensive, time-intensive testing, lower risks to product performance and quality, and cut product development time. Featured in Forbes magazine and named one of the UK’s top 100 startups, Monolith AI founder Dr. Richard Ahlfeld received his PhD in Aerospace Engineering from Imperial College and was named to MIT Technology Review’s Top 10 Innovators under 35. Monolith AI is headquartered in London with global enterprise clients worldwide.