Yongfang Mao

According to our database, Yongfang Mao authored at least 26 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enhanced YOLOv7 with three-dimensional attention and its application into underwater object detection.

Yi Qin, Chen Liang, Yongfang Mao, Mingliang Zhou

Multim. Tools Appl., June, 2025

Fast Estimation of Shapley Value by Stratified Sampling and Its Application in Explaining Fault Diagnosis Neural Network.

Biao He, Yongfang Mao, Yi Qin

IEEE Internet Things J., May, 2025

Mutual Information-Guided Domain-Shared Feature Learning for Bearing Fault Diagnosis Under Unknown Conditions.

Kaixiong Xu, Shuang Li, Shuiqing Xu, Youqiang Hu, Yongfang Mao, Yi Chai

IEEE Trans. Instrum. Meas., 2025

Bearing Remaining Useful Life Prediction Based on CICAE and ResConv1D-LSTM.

Yi Qin, Yihang Zhao, Yi'an Zhuo, Yi Chai, Zhenli Yang, Yongfang Mao

IEEE Trans. Instrum. Meas., 2025

Spatial-temporal multi-sensor information fusion network with prior knowledge embedding for equipment remaining useful life prediction.

Yi Qin, Yihang Zhao, Junyu Qi, Yongfang Mao

Reliab. Eng. Syst. Saf., 2025

Simulation-data Driven Generalized Zero-Shot Learning for Multi-agent Bearing Compound Fault Diagnosis.

Yi Qin, Xiwen Liu, Xin Li, Yongfang Mao

Knowl. Based Syst., 2025

2024

Mechanism-Assisted Deep State Space Model for Dynamic System Identification.

Shuo Li, Xiaolong Chen, Yi Chai, Ke Zhang, Yongfang Mao

IEEE Trans. Ind. Informatics, December, 2024

Large Model for Rotating Machine Fault Diagnosis Based on a Dense Connection Network With Depthwise Separable Convolution.

Yi Qin, Taisheng Zhang, Quan Qian, Yongfang Mao

IEEE Trans. Instrum. Meas., 2024

Zero-Shot Attribute Consistent Model for Bearing Fault Diagnosis Under Unknown Domain.

Yi Qin, Lv Wang, Quan Qian, Yongfang Mao

IEEE Trans. Instrum. Meas., 2024

Multilabel Decoupling Diagnosis for Compound Faults by Improved Deep Q-Network.

Yi Qin, Xiwen Liu, Yongfang Mao

IEEE Trans. Instrum. Meas., 2024

Adaptive generic prototype network with geodesic distance for cross-domain few-shot fault diagnosis.

Yi Qin, Qijun Wen, Lv Wang, Yongfang Mao

Knowl. Based Syst., 2024

Inverse physics-informed neural networks for digital twin-based bearing fault diagnosis under imbalanced samples.

Yi Qin, Hongyu Liu, Yi Wang, Yongfang Mao

Knowl. Based Syst., 2024

Faulty rolling bearing digital twin model and its application in fault diagnosis with imbalanced samples.

Yi Qin, Hongyu Liu, Yongfang Mao

Adv. Eng. Informatics, 2024

Unsupervised health indicator construction by a new Gaussian-student's t-distribution mixture model and its application.

Dingliang Chen, Yi Chai, Yongfang Mao, Yi Qin

Adv. Eng. Informatics, 2024

2023

Adaptive manifold partial domain adaptation for fault transfer diagnosis of rotating machinery.

Yi Qin, Quan Qian, Zhengyi Wang, Yongfang Mao

Eng. Appl. Artif. Intell., November, 2023

A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction.

Yi Qin, Jiahong Yang, Jianghong Zhou, Huayan Pu, Yongfang Mao

Adv. Eng. Informatics, April, 2023

Adaptive Fast Chirplet Transform and Its Application Into Rolling Bearing Fault Diagnosis Under Time-Varying Speed Condition.

Yi Qin, Rui Yang, Haiyang Shi, Biao He, Yongfang Mao

IEEE Trans. Instrum. Meas., 2023

Bearing Remaining Useful Life Prediction based on TCN-Transformer Model.

Yi'an Zhuo, Ziming Hao, Yongfang Mao, Yi Chai, Le Ma

Proceedings of the CAA Symposium on Fault Detection, 2023

Research on Knowledge Graph Construction for Operational Safety of Cryogenic Loading System.

Shuo Li, Yi Chai, Yongfang Mao, Yunling Liu, Yiming Wang

Proceedings of the CAA Symposium on Fault Detection, 2023

2021

Self-supervised Learning Advance Fault Diagnosis of Rotating Machinery.

Baoming Zhang, Yongfang Mao, Xin Chen, Yi Chai, Zhenli Yang

Proceedings of the Neural Computing for Advanced Applications, 2021

A Method for Imbalanced Fault Diagnosis Based on Self-attention Generative Adversarial Network.

Xin Chen, Yongfang Mao, Baoming Zhang, Yi Chai, Zhenli Yang

Proceedings of the Neural Computing for Advanced Applications, 2021

2019

Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach.

Congmei Jiang, Yize Chen, Yongfang Mao, Yi Chai, Mingbiao Yu

CoRR, 2019

2018

Compound Damages Detection for Rotors by the Coupled Piezoelectric Impedance.

Yongfang Mao, Yi Qin, Aibing Zhang

IEEE Access, 2018

Scenario Generation for Wind Power Using Improved Generative Adversarial Networks.

Congmei Jiang, Yongfang Mao, Yi Chai, Mingbiao Yu, Songbing Tao

IEEE Access, 2018

2016

Adaptive signal decomposition based on wavelet ridge and its application.

Yi Qin, Baoping Tang, Yongfang Mao

Signal Process., 2016

2010

Higher density wavelet frames with symmetric low-pass and band-pass filters.

Yi Qin, Jiaxu Wang, Baoping Tang, Yongfang Mao

Signal Process., 2010