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Songbing Tao

Publications
10
Citations
124
Publications by Year
20172025
Co-Authors:
Show All Co-Authors (22)
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Songbing Tao

Affiliation

School of Electrical Engineering and Automation
Hefei University of Technology
Hefei, China

Publication Topics

Biography

Songbing Tao received the Ph.D. degree from the Department of Automation, Chongqing University, Chongqing, China, in 2020.,Since 2020, he has been working as a Post-Doctoral Researcher with the College of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China. His research interests include deep learning and pattern recognition.(Based on document published on 4 March 2025).
Publications
10
Citations
124
Publications by Year
20172025
Co-Authors:
Show All Co-Authors (22)
Author's Published Works

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A Novel Channel Pruning Lightweight Pig Face Detection Method Based on Augment Group Diverse Attention Mechanism

Shuiqing Xu;Wenhao Yi;Juan Shen;Songbing Tao;Hai Wang;Yi Chai;Hongtian Chen

IEEE Transactions on Instrumentation and Measurement
Year: 2025 | Volume: 74 | Journal Article |
Pig face detection plays a pivotal role in the intelligent management of pig farms. This study proposes a novel lightweight pig face detection model, named channel pruning pig face detection method based on augment group diverse attention mechanism (CPADA). First, to overcome the adverse effects of pig face smudges occlusion and significant intraclass variations on the detection performance, this ...Show More

A Novel Channel Pruning Lightweight Pig Face Detection Method Based on Augment Group Diverse Attention Mechanism

Shuiqing Xu;Wenhao Yi;Juan Shen;Songbing Tao;Hai Wang;Yi Chai;Hongtian Chen

Year: 2025 | Volume: 74 | Journal Article |

A Lightweight Pig Face Recognition Method Based on Efficient Mobile Network and Horizontal Vertical Attention Mechanism

Shuiqing Xu;Haodong Zheng;Songbing Tao;Yi Chai;Qihang He;Hongtian Chen

IEEE Transactions on Instrumentation and Measurement
Year: 2024 | Volume: 73 | Journal Article |
Cited by: Papers (2)
Pig face recognition is a crucial tool in preventing and controlling swine fever, as well as optimizing pig farming practices. This study proposes an end-to-end lightweight pig face recognition method called EHV-YOLO, which can accurately identify pig faces from multiple angles and detect faces covered with dirt or external objects. First, to enhance the effectiveness of pig face feature extractio...Show More

A Lightweight Pig Face Recognition Method Based on Efficient Mobile Network and Horizontal Vertical Attention Mechanism

Shuiqing Xu;Haodong Zheng;Songbing Tao;Yi Chai;Qihang He;Hongtian Chen

Year: 2024 | Volume: 73 | Journal Article |

Fault Estimation for Nonlinear Systems with Time Delay Based on Iterative Learning Scheme

Shuiqing Xu;Haosong Dai;Darong Huang;Songbing Tao;Chong Hu

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
In this paper, the problem of fault estimation for a class of nonlinear systems with time delay is studied. First, an iterative learning observer and an exponential function-based fault estimation law are designed to improve the accuracy of fault estimation results. Then, we use the λ-norm method to derive the convergence conditions for the proposed fault estimator and provide the corresponding pr...Show More

Fault Estimation for Nonlinear Systems with Time Delay Based on Iterative Learning Scheme

Shuiqing Xu;Haosong Dai;Darong Huang;Songbing Tao;Chong Hu

Year: 2023 | Conference Paper |

Pig Face Recognition Based on Trapezoid Normalized Pixel Difference Feature and Trimmed Mean Attention Mechanism

Shuiqing Xu;Qihang He;Songbing Tao;Hongtian Chen;Yi Chai;Weixing Zheng

IEEE Transactions on Instrumentation and Measurement
Year: 2023 | Volume: 72 | Journal Article |
Cited by: Papers (18)
Pig face recognition has a wide range of applications in breeding farms, including precision feeding and disease surveillance. This article proposes a method to guarantee its performance in complex environments such as with dirty faces and in unconstrained outdoor conditions. First, inspired by the shape of the pig face, a trapezoid normalized pixel difference (T-NPD) feature is designed to achiev...Show More

Pig Face Recognition Based on Trapezoid Normalized Pixel Difference Feature and Trimmed Mean Attention Mechanism

Shuiqing Xu;Qihang He;Songbing Tao;Hongtian Chen;Yi Chai;Weixing Zheng

Year: 2023 | Volume: 72 | Journal Article |

Multiple Open-Circuit Fault Diagnosis for Back-to-Back Converter of PMSG Wind Generation System Based on Instantaneous Amplitude Estimation

Shuiqing Xu;Songbing Tao;Weixing Zheng;Yi Chai;Mingyao Ma;Lijian Ding

IEEE Transactions on Instrumentation and Measurement
Year: 2021 | Volume: 70 | Journal Article |
Cited by: Papers (25)
To increase the reliability and availability of wind turbines, a new diagnosis method was proposed for multiple open-circuit faults in the back-to-back converters of turbines using permanent magnet synchronous generators (PMSGs). This method is the first to use the instantaneous amplitude (IA) as the principal quantity for formulating diagnostic variables that can distinguish different states of a...Show More

Multiple Open-Circuit Fault Diagnosis for Back-to-Back Converter of PMSG Wind Generation System Based on Instantaneous Amplitude Estimation

Shuiqing Xu;Songbing Tao;Weixing Zheng;Yi Chai;Mingyao Ma;Lijian Ding

Year: 2021 | Volume: 70 | Journal Article |

Online Open-Circuit Fault Detection and Location utilizing Estimated Instantaneous Amplitudes

Songbing Tao;Yi Chai;Bowen Liu;Congmei Jiang;Shuiqing Xu

2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
As one of the most key parts of wind power generation systems (WPGSs), the grid-connected converter plays a significant role for energy conversion. It is meaningful to ensure the stability and safety of converters in WPGSs. In this paper, a novel signal processing based approach is proposed to detect and locate power switch failures in grid-connected converters of WPGSs, which is completely differ...Show More

Online Open-Circuit Fault Detection and Location utilizing Estimated Instantaneous Amplitudes

Songbing Tao;Yi Chai;Bowen Liu;Congmei Jiang;Shuiqing Xu

Year: 2019 | Conference Paper |

Scenario Generation for Wind Power Using Improved Generative Adversarial Networks

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

IEEE Access
Year: 2018 | Volume: 6 | Journal Article |
Cited by: Papers (68)
Wind power scenarios have a significant impact on stochastic optimization problems for power systems in which wind power is a significant component. Generative adversarial networks (GANs) are a powerful class of generative models, and can generate realistic scenarios for renewable power sources without the need for any modeling assumptions. However, the performance of GANs in generating scenarios ...Show More

Scenario Generation for Wind Power Using Improved Generative Adversarial Networks

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

Year: 2018 | Volume: 6 | Journal Article |

A Novel Approach for Moving Window Size Selection utilizing recursive PCA

Songbing Tao;Benqi Li;Nan Li;Yi Chai;Bowen Liu

2018 37th Chinese Control Conference (CCC)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
The moving window principal component analysis (MWPCA) technique has been widely applied for dynamic statistical process monitoring of multivariate processes. To deal with abnormal situations with small fault symptoms, in our previous work, a novel incipient fault diagnosis method based on the Kullback-Leibler divergence (KLD) has been developed. Although certain algorithms have been given to sele...Show More

A Novel Approach for Moving Window Size Selection utilizing recursive PCA

Songbing Tao;Benqi Li;Nan Li;Yi Chai;Bowen Liu

Year: 2018 | Conference Paper |

Weighted Window Sliding Multivariate Empirical Mode Decomposition for Online Multichannel Filtering

Songbing Tao;Nan Li;Shanbi Wei;Yi Chai

IEEE Access
Year: 2018 | Volume: 6 | Journal Article |
Cited by: Papers (3)
Affected by nonlinear and non-stationary problems, classical linear analysis approaches may fail in analyzing real-world signals, such as the biomedical data. As a fully data-driven and unsupervised signal analysis algorithm, the empirical mode decomposition (EMD) has been developed and applied widely in various fields, especially for de-noising filtering. Due to the increasing need of high speed ...Show More

Weighted Window Sliding Multivariate Empirical Mode Decomposition for Online Multichannel Filtering

Songbing Tao;Nan Li;Shanbi Wei;Yi Chai

Year: 2018 | Volume: 6 | Journal Article |

Incipient fault online estimation based on Kullback-Leibler Divergence and fast moving window PCA

Songbing Tao;Yi Chai;Ngo Quang Vi

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Year: 2017 | Conference Paper |
Cited by: Papers (4)
The realization of early detection of incipient faults makes great sense for the guarantee of system performance and security operation. Therefore, It is necessary to estimate the fault amplitude especially when the system security assessment is the main goal. Regarding the incipient fault with low Fault-Noise-ratio (FNR), in this paper, a practical online fault estimation method is presented for ...Show More

Incipient fault online estimation based on Kullback-Leibler Divergence and fast moving window PCA

Songbing Tao;Yi Chai;Ngo Quang Vi

Year: 2017 | Conference Paper |

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