
Using AI to Detect and Assess Imminent Failure
podcast episode with guest speaker Alexander Bell
Complex systems, such as automobiles, contain many moving parts that can lead to failure from a variety of causes and failure modes. AI can utilize system data recorded over time to automatically alert us to imminent failure and identify root causes.
Decision Trees are a relatively simple and popular AI tool, that can quickly learn and assess key variables and their interactions which contribute to an outcome such as system failure. They are fast to create, easy to interpret and can help us identify failure modes.
In this webinar, we will look at the basics of decision tree modelling and consider a simple demonstration of its application to assess imminent failure in automobiles. This Accendo Reliability webinar was originally broadcast on 10 March 2026.

To view the recorded video/audio and PDF workbook of the event, visit the webinar page.
Additional content that may be of interest
An Academic Look at AI in Electronics Manufacturing: Where It Works, Fails, & Why It Matters episode
Blair Fraser — Artificial Intelligence & Machine Learning episode
The Predictive Monitor Journey – Built, Merged, Reclaimed – with John and Laurie Masiello episode
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