hustcxl/Deep-learning-in-PHM

Curates open-source deep learning algorithms and research papers for predictive maintenance, featuring curated benchmarks for rotating machinery diagnosis and RUL prediction across CNNs, RNNs, and transfer learning approaches. Aggregates original research implementations alongside review papers and links to major open-source projects like NASA's Prognostics Algorithm Library and benchmark datasets for comparative algorithm evaluation. Serves as a collaborative platform connecting active research teams from Xi'an Jiaotong University, CWRU, and other institutions working on machinery condition monitoring.

478 stars. No commits in the last 6 months.