Researchers in China propose and experimentally demonstrates a novel, deep learning-driven spectral recognition strategy, ...

Abstract: In industrial scenarios, the scarcity of labeled data for fault diagnosis of rotating machinery poses a significant challenge to the development of reliable data-driven models. This paper ...

Abstract: Harmonic reducers are critical components of industrial robots, where reliable anomaly detection is essential for operational integrity. However, real-world applications face two major ...