Dataset Groups Activity Stream Paderborn University (PU) dataset The Paderborn University (PU) dataset is used to evaluate the proposed Multi-Scale Graph Convolution Filtering (MSGCF) method for few-shot fault diagnosis in industrial applications. BibTex: @dataset{Mengjie_Gan_and_Penglong_Lian_and_Zhiheng_Su_and_Jiyang_Zhang_and_Jialong_Huang_and_Benhao_Wang_and_Jianxiao_Zou_and_Shicai_Fan_2024, abstract = {The Paderborn University (PU) dataset is used to evaluate the proposed Multi-Scale Graph Convolution Filtering (MSGCF) method for few-shot fault diagnosis in industrial applications.}, author = {Mengjie Gan and Penglong Lian and Zhiheng Su and Jiyang Zhang and Jialong Huang and Benhao Wang and Jianxiao Zou and Shicai Fan}, doi = {10.57702/4obugxap}, institution = {No Organization}, keyword = {'Fault Diagnosis', 'Few-shot learning', 'Graph Convolutional Networks'}, month = {dec}, publisher = {TIB}, title = {Paderborn University (PU) dataset}, url = {https://service.tib.eu/ldmservice/dataset/paderborn-university--pu--dataset}, year = {2024} }
