June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Prediction challenges
As shown in the following diagram, after observing the engine's sensor measurements and operating conditions for a certain amount of time (133 cycles in the diagram), the challenge is to predict the amount of time (in other words, the RUL) that the engine will continue to function before it fails:
However, making an incorrect prediction for an ML/DL model is basically underestimating the true RUL of a particular engine. This can bring the turbine engine to maintenance too early, when it could have operated for a bit longer without any issues arising. So, what would happen if our model were to overestimate the true RUL ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.