mohan696matlab/BG-CNN-for-DC-Motor-FDI
BG-CNN: A Hybrid Fault Diagnosis Method for Improved Fault Isolation. This repository presents the BG-CNN method, a novel approach that combines the Bond-Graph technique with Convolutional Neural Networks (CNNs) for efficient fault isolation.
This helps maintenance engineers and operations managers diagnose specific faults in DC motors more accurately. By analyzing DC motor signal data, it identifies the precise type of fault, improving maintenance planning and reducing downtime. The output helps pinpoint the exact problem within the motor.
No commits in the last 6 months.
Use this if you need to precisely identify the specific fault condition in a DC motor based on its operational signal data to streamline repair efforts.
Not ideal if you are dealing with other types of motors or machinery, or if you only need general fault detection without specific isolation.
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MIT
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Last pushed
Jun 25, 2024
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