Bo Yang

Dual-mechanism knowledge distillation for imbalanced class-incremental industrial fault diagnosis

Jin-Tao Liang, Yuan Xu, Qun-Xiong Zhu, Yan‐Lin He et autres

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Natural gas demand forecasting via latent pattern retrieval and expert specialization

Sichong Lu, Hairun Wang, Jiahui Chai, Yi Su et autres

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A general multidimensional half-discrete Hilbert-type inequality involving one derivative function of m-order

Jianquan Liao, Bo Yang

Abstract By means of the weight functions, the idea of introduced parameters and Hardy’s integral inequality, a multidimensional half-discrete Hilbert-type inequality with a general homogeneous kernel involving one derivative function of m-order is obtained. The equivalent statements of the best value in …

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Beyond Classical Limits: Quantum-Driven Preselection for Multi-Asset-Class Portfolio

Zhengyang Song, Lean Yu, Bo Yang, Xiaoming Zhang et autres

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Characterization of New Energy Power Characteristics and Extraction of Typical Scenarios Based on a Multi-dimensional and Multi-level Indicator System

Bo Yang, Wei Wang, Yawei Xu, Yijie He et autres

With the large-scale integration of renewable energy, its inherent randomness and volatility are exerting a growing impact on power system analysis. However, existing research lacks a comprehensive multi-dimensional characterization of renewable energy output features and a systematic indicator system to support the …

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Recognition of open-set appearance quality of resistance spot welding based on triplet loss

Fangren Zhang, Qing Peng, Bo Yang, Yuliang Wu et autres

This study addresses the challenge of open-set recognition of resistance spot welding appearance quality by proposing a recognition method based on triplet loss. An experimental platform for resistance spot welding was established to construct a point cloud dataset comprising five categories of …

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Position Calibration of Shallow-Sea Hydrophone Arrays in Reverberant Environments

Changjing Xiong, Bo Yang, Wei Wang, Yeyao Liu et autres

To address the problem of shallow-sea hydrophone calibration, this paper proposes a shallow-sea hydrophone calibration algorithm for the horizontal and depth directions, respectively. In the horizontal direction, a calibration method combining an improved Particle Swarm Optimization (PSO) algorithm and the Time Difference …

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Novel Input Space-Relevant Distributed Extreme Learning Machine Integrated With LSTM for Industrial Soft Sensing

Yan‐Lin He, Jingfang Liu, Bo Yang, Dong Ya Zhao

Soft sensor technologies have been extensively applied in industrial processes to utilize directly measurable process variables for inferring difficult-to-measure quality indicators. However, the effectiveness of existing soft sensors based on data-driven methods is often constrained by the inherent properties of process variables, …

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Fractional Fourier Transform Frequency Estimation Based on Improved Particle Swarm Optimization

Tianli Liu, Bo Yang, Yeyao Liu, Changjing Xiong

Abstract The fractional Fourier transform (FRFT) frequency estimation is a frequently utilized frequency estimation approach for linear frequency modulation (LFM) signals. The search for the optimal order is a crucial element influencing the frequency estimation effect, and fixed-step search is typically adopted. …

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Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path

Yuchen Ren, Zhengyu Zhao, Chenhao Lin, Bo Yang et autres

Transferable adversarial examples are known to cause threats in practical, black-box attack scenarios. A notable approach to improving transferability is using integrated gradients (IG), originally developed for model interpretability. In this paper, we find that existing IG-based attacks have limited transferability due …

A Multisensor Feature Representation and Fusion Method for Data-Driven Industrial Process Fault Diagnosis

Yilin Shi, Zukui Li, Bo Yang

Data-driven fault diagnosis is a critical component of industrial process monitoring. To more effectively capture the temporal relationships within multisensor data and the spatial relationships among sensors, this article proposed a feature representation and fusion method for fault diagnosis in complex industrial …

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Approach for Task Transfer and Demonstration Learning Optimization in Industrial Robotic Manipulators

Tianci Gao, Bo Yang, S. Krishna Mohan Rao

This paper proposes a refined method to enhance the performance and adaptability of industrial robotic manipulators by integrating demonstration learning with reinforcement learning, specifically using Proximal Policy Optimization (PPO). The approach starts with generating an initial trajectory through demonstration-based learning, which provides …

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