Industrial-Machinery-Anomaly-Detection

Industrial-Machinery-Anomaly-Detection

matlab-deep-learning

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder

49 Stars
19 Forks
49 Watchers
MATLAB Language
other License
Cost to Build
$16.58M
Market Value
$36.85M

Growth over time

7 data points  ·  2021-08-01 → 2025-08-01
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What is the matlab-deep-learning/Industrial-Machinery-Anomaly-Detection GitHub project? Description: "Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder". Written in MATLAB. Explain what it does, its main use cases, key features, and who would benefit from using it.

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