AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
2min chapter
Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Machine Learning and Deep Learning to Detect Failures
We use recorna network elest s at censor level to monitor and learn the the healthy behavioror kind of sequences, of these machines. So from what we get in terms of the censor libestrim data, let's say, if we build this representative model of the sensor can we predict a healthy vector future? And then checking that sort of sequence of time series versus what we actually receive, we were able to predict any deviation. This kind of difference or residual signal for us, was the outcome of using machine learning, in the case of recurnter nesborg elestian to detect abnormalities.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode