Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps

Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps

In the era of the fourth industrial revolution (Industry 4.0) and the Internet of Things (IoT), real-time data is enormously collected and analyzed from mechanical equipment. By classifying and characterizing the measured signals, the fault condition of mechanical components could be identified. How...

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Bibliographic Details
Main Authors: Kyung Ho Sun, Hyunsuk Huh, Bayu Adhi Tama, Soo Young Lee, Joon Ha Jung, Seungchul Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
class activation maps
discriminative region
fault detection
mechanical component
explainable AI
Online Access:https://ieeexplore.ieee.org/document/9142228/

Internet

https://ieeexplore.ieee.org/document/9142228/

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