过去一年中添加的文章，按日期排序
Fault Diagnosis of the Rolling Bearing by a Multi-Task Deep Learning Method Based on a Classifier Generative Adversarial Network
Z Shen, X Kong, L Cheng, R Wang, Y Zhu - Sensors, 2024 - mdpi.com
144 天前 - … is essential for the safe operation of rotating machinery. … for intelligent fault diagnosis
utilizes sparse filtering for … either use explicit data augmentation methods to expand the …
utilizes sparse filtering for … either use explicit data augmentation methods to expand the …
An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised Methods
M Abdollah Chalaki, D Maroufi, M Robati… - arXiv e …, 2023 - ui.adsabs.harvard.edu
288 天前 - … Despite the recent success in data-driven fault diagnosis of rotating machines, there
are … to detect novel faults. Upon detection, the network is augmented using the new data. …
are … to detect novel faults. Upon detection, the network is augmented using the new data. …
Proceedings of Data Analytics and Management ICDAM 2023, Volume 4
A Swaroop, Z Polkowski, SD Correia… - Proceedings of Data …, 2023 - Springer
329 天前 - … covers the topics in data analytics, data management, big data, computational
intelligence, and … His current research interests are artificial intelligence, soft computing, signal …
intelligence, and … His current research interests are artificial intelligence, soft computing, signal …