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ORCIDYongfang Mao
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2020 – today
- 2024
[j13]Yi Qin, Hongyu Liu, Yongfang Mao
:
Faulty rolling bearing digital twin model and its application in fault diagnosis with imbalanced samples. Adv. Eng. Informatics 61: 102513 (2024)- [j12]Dingliang Chen, Yi Chai, Yongfang Mao, Yi Qin:
Unsupervised health indicator construction by a new Gaussian-student's t-distribution mixture model and its application. Adv. Eng. Informatics 62: 102863 (2024) - [j11]Yi Qin, Hongyu Liu, Yi Wang, Yongfang Mao:
Inverse physics-informed neural networks for digital twin-based bearing fault diagnosis under imbalanced samples. Knowl. Based Syst. 292: 111641 (2024) - [j10]Yi Qin, Xiwen Liu, Yongfang Mao:
Multilabel Decoupling Diagnosis for Compound Faults by Improved Deep Q-Network. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j9]Yi Qin, Lv Wang, Quan Qian, Yongfang Mao:
Zero-Shot Attribute Consistent Model for Bearing Fault Diagnosis Under Unknown Domain. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j8]Yi Qin, Taisheng Zhang, Quan Qian, Yongfang Mao:
Large Model for Rotating Machine Fault Diagnosis Based on a Dense Connection Network With Depthwise Separable Convolution. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [j7]Yi Qin, Jiahong Yang, Jianghong Zhou, Huayan Pu, Yongfang Mao:
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction. Adv. Eng. Informatics 56: 101973 (2023) - [j6]Yi Qin, Quan Qian, Zhengyi Wang, Yongfang Mao:
Adaptive manifold partial domain adaptation for fault transfer diagnosis of rotating machinery. Eng. Appl. Artif. Intell. 126: 107082 (2023) - [j5]Yi Qin, Rui Yang, Haiyang Shi, Biao He, Yongfang Mao:
Adaptive Fast Chirplet Transform and Its Application Into Rolling Bearing Fault Diagnosis Under Time-Varying Speed Condition. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c3]Shuo Li, Yi Chai, Yongfang Mao, Yunling Liu, Yiming Wang:
Research on Knowledge Graph Construction for Operational Safety of Cryogenic Loading System. SAFEPROCESS 2023: 1-5 - 2021
- [c2]Baoming Zhang, Yongfang Mao, Xin Chen, Yi Chai, Zhenli Yang:
Self-supervised Learning Advance Fault Diagnosis of Rotating Machinery. NCAA 2021: 319-332 - [c1]Xin Chen, Yongfang Mao, Baoming Zhang, Yi Chai, Zhenli Yang:
A Method for Imbalanced Fault Diagnosis Based on Self-attention Generative Adversarial Network. NCAA 2021: 333-346
2010 – 2019
- 2019
- [i1]Congmei Jiang, Yize Chen, Yongfang Mao, Yi Chai, Mingbiao Yu:
Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach. CoRR abs/1903.05274 (2019) - 2018
- [j4]Congmei Jiang, Yongfang Mao, Yi Chai, Mingbiao Yu, Songbing Tao:
Scenario Generation for Wind Power Using Improved Generative Adversarial Networks. IEEE Access 6: 62193-62203 (2018) - [j3]Yongfang Mao, Yi Qin, Aibing Zhang:
Compound Damages Detection for Rotors by the Coupled Piezoelectric Impedance. IEEE Access 6: 75975-75987 (2018) - 2016
- [j2]Yi Qin, Baoping Tang, Yongfang Mao:
Adaptive signal decomposition based on wavelet ridge and its application. Signal Process. 120: 480-494 (2016) - 2010
- [j1]Yi Qin, Jiaxu Wang, Baoping Tang, Yongfang Mao:
Higher density wavelet frames with symmetric low-pass and band-pass filters. Signal Process. 90(12): 3219-3231 (2010)
Coauthor Index
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