matlab-deep-learning/Fault-Detection-Using-Deep-Learning-Classification
This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.
This project helps operations and maintenance engineers predict potential issues in mechanical air compressors. By inputting acoustic sensor data from your equipment, it outputs a classification of the compressor's condition, indicating whether it's healthy or unhealthy. This allows for proactive maintenance and prevents unexpected downtime.
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Use this if you need to automatically monitor the health of mechanical air compressors using sensor data to predict faults.
Not ideal if you are looking for a general-purpose fault detection solution for equipment other than air compressors or if you are not using MATLAB for your analysis.
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Sep 06, 2022
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