Exploiting generative adversarial networks as an oversampling method for fault diagnosis of an industrial robotic manipulator

Ingeniería y ciencia de los materiales

• Manipulators 71%
• Failure analysis 70%
• Robotics 61%
• Industrial manipulators 40%
• Statistical tests 31%
• Random forests 28%
• Image analysis 26%
• Machine learning 19%

Física y astronomía

• robotics 96%
• manipulators 72%
• learning curves 35%
• statistical tests 27%
• machine learning 25%
• image analysis 22%
• maintenance 21%
• safety 19%
• performance 8%

Química

• Robotics 100%
• Safety 70%