Abstract: The parallel arc fault is one of the most important causes of electrical fire. However, there is no effective detection method for parallel arc fault. To solve this problem, a fault feature ...
Abstract: Collecting a large amount of measured configuration data for robots entails high costs and time, which restricts the widespread use of neural networks for ...
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