Predictive Maintenance Using Deep Learning

Predictive maintenance allows equipment operators and manufacturers to assess the condition of machines, diagnose faults, and estimate time to failure. Because machines are increasingly complex and generate large amounts of data, many engineers are exploring deep learning approaches to achieve the best predictive results.
In this talk, you will discover how to use deep learning for:
-Anomaly detection of industrial equipment using vibration data
-Condition monitoring of an air compressor using an audio-based fault classifier
You’ll also see demonstrations of:
-Data Preparation: Generating features using Predictive Maintenance Toolbox™ and extracting features automatically from audio signals using Audio Toolbox™
-Modeling: Training audio and time-series deep learning models using Deep Learning Toolbox™"
Chapters:
0:00 Identifying Faults in Audio Data
1:43 Predictive Maintenance Key Takeaways
3:46 Predictive Maintenance Algorithm Development Workflow
4:56 Audio Fault Detection with Deep Learning using an LSTM
12:14: Vibration Anomaly Detection with Deep Learning using an Autoencoder
20:12 Project Results and Predictive Maintenance Success Stories
21:30 Key Takeaways
#predictivemaintenance #anomalydetection #deeplearning
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[@princescott7188]

That was a great insight into deep learning, and I learned some brilliant features of MATLAB today. Thank you.

[@hosameldineltayebabdelrhma9984]

Very Interesting TechTalk

[@user-pd6ri6bs5q]

Great!!, can you make a video on how to train ANN to predict and detect compressor fouling? Please 🙏🏿

[@akshatzz_iitb6052]

Can you guys please share the data on which you trained your model on?

[@user-eq7td7le4f]

Mr. Tesla was indeed right....... I you want to know the secrets of the Universe then think in terms of ENERGY... FREQUENCY & VIBRATION📳📳...

[@MrSyrian123]

Could the model be deployed to arduino like microcontroller ?

[@HansScharler]

Yes. What are you trying to do?

[@kimonsavvas1671]

How on Earth did you guys keep a straight face recording this? 😂