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Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study.

, , , и . IEEE Access, (2019)

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Wentao Song

Wentao Jia

Wentao Li

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Tongsheng Mao

 

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Online sequential classification of imbalanced data by combining extreme learning machine and improved SMOTE algorithm., , и . IJCNN, стр. 1-8. IEEE, (2015)Research of Dynamic Load Identification Based on Extreme Learning Machine., , , и . ISNN (1), том 7367 из Lecture Notes in Computer Science, стр. 80-89. Springer, (2012)Application of LSSVM-PSO to Load Identification in Frequency Domain., , , и . AICI, том 5855 из Lecture Notes in Computer Science, стр. 231-240. Springer, (2009)Research on On-line Data Prediction of Electrical Equipment Based on Wavelet Analysis and Data Fusion., , , и . IPEC, стр. 719-723. ACM, (2022)A new multi-task learning based Wi-Fi location approach using L1/2-norm., , и . IJCNN, стр. 2149-2155. IEEE, (2014)Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder., , , и . ICPHM, стр. 1-7. IEEE, (2018)Harmony better than uniformity: A new pre-training anomaly detection method with tensor domain adaptation for early fault evaluation., , , и . Eng. Appl. Artif. Intell., 127 (Part A): 107427 (января 2024)Research on Key Technologies of Large Data Smart Grid Based on Power Grid Operation Simulation., , , и . ICISCAE (IEEE), стр. 311-315. IEEE, (2021)A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions., , , , и . IEEE Trans. Instrum. Meas., (2021)Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine., , , и . Neural Comput. Appl., 24 (2): 441-451 (2014)