Xiang Xu

PML Method for the Stochastic Acoustic Scattering Problem Driven by an Additive Gaussian Noise

Hongxia Guo, Tianjiao Wang, Xiang Xu, Yue Zhao

Abstract. This paper is concerned with the time-domain stochastic acoustic scattering problem driven by a spatially white additive Gaussian noise. The main contributions of the work are twofold. First, we prove the existence and uniqueness of the pathwise solution to the scattering …

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A New Position Prediction Method Based on ANFIS for MINS/GNSS Integrated Navigation System During GNSS Outages

Tongxu Xu, Xiang Xu, Hualong Ye, Li Zhang

Global navigation satellite system (GNSS) has the characteristics of high-precision positioning, which makes it an essential part of mobile terminal positioning. In urban environments, satellite signals are easily blocked and reflected, which affects the positioning results. In this case, inertial sensors manufactured …

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Automatic Measurement Method of Suspender Rotation Angle for Suspension Bridges using Digital Image Edge Detection

Wenzhe Zhong, Yuan Ren, Xiang Xu, Chenghong Shi et autres

For pin-connected cable clamps, suspenders will rotate around pin shafts due to stiffening girder longitudinal motions and suspender vibrations, leading to pin shafts wear and clamp bolts loosening. To interpret the mechanisms of these defects, it is highly desired to clarify characteristics …

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Language-Inspired Hierarchical Mamba Network With Superpixel-Structured Training for Hyperspectral Image Classification

H Liu, Xiang Xu, Qiong Yao, Antonio Plaza

Existing Mamba-based hyperspectral image classification (HSIC) methods typically decouple spectral and spatial modeling into two independent and parallel branches and fuse their features afterwards. Such physical separation risks information loss or feature conflicts when the fusion strategy is sub-optimal, ultimately degrading the …

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A High-Precision System-Level Calibration Method for IMU Full Parameters Estimation Based on a Simplified Ten-Position Rotation Scheme

Bo Zhang, Xiang Xu, Zhangyi Wu, Yiren Wang et autres

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Adaptive filtering suppression method of substation environmental noise based on fast transversal least mean square algorithm

Yi Gong, Hongwei Fan, Xiukun Wei, Ke Liu et autres

Atomic-scale cocoonlike interfacial segregation stabilizes the nanoprecipitates in a dilute Mg-Mn-Al-Ca-Ce alloy

Zhen-Ming Hua, Shenghua Wu, Min Zha, Yulong Zhu et autres

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Research and Application of Magnetic Flux Leakage Internal Detection Technology for Small-Diameter Pipelines in Huabei Oilfield

Bingyu Li, Juntao Wang, Hongliang Liu, Yufang Liu et autres

Abstract Small caliber pipelines in Huabei Oilfield are widely distributed and transport complex media. In the complex geographical environment, they face various potential risks and challenges, such as the occurrence of defects such as corrosion, cracks, deformation, and the influence of external …

Hierarchical Fault Diagnosis for Bearings via OCSSA-Optimized VMD and Attention-Enhanced CNN-BiLSTM

Liangsong Huang, Xiang Xu

Rolling bearings serve as critical components in rotating machinery, where their operational integrity directly dictates system safety. To address the limitations of conventional deep-learning approaches in processing non-stationary vibration signals and achieving high-precision fault diagnosis, this study proposes an integrated diagnostic framework …

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Fast Self-Calibration and Self-Alignment of Triaxis RINS under marine mooring condition

Bin Hu, Liang Zhang, Yiqing Yao, Xiang Xu et autres

Abstract The triaxis rotational inertial navigation system (TRINS) is crucial for underwater long-duration, high-precision navigation and positioning. The accuracy of initial alignment directly affects the position error in the navigation of the TRINS. Traditional alignment method include coarse alignment and fine alignment. …

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A Novel Federated Continual Learning-Based Intelligent Framework for Rolling Bearing Fault Diagnosis

Xiang Xu, Feng Jia, Jianjun Shen, Changhai Yan

Aiming at the challenges of data privacy protection and catastrophic forgetting under continual learning in fault diagnosis of rolling bearings, this study proposes an intelligent fault diagnosis method based on federated continual learning. First, a federated learning framework for multi-device collaboration is …

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Enhanced Pedestrian Navigation with Wearable IMU: Forward–Backward Navigation and RTS Smoothing Techniques

Yilei Shen, Yiqing Yao, Chenxi Yang, Xiang Xu

Accurate and reliable pedestrian positioning service is essential for providing Indoor Location-Based Services (ILBSs). Zero-Velocity Update (ZUPT)-aided Strapdown Inertial Navigation System (SINS) based on foot-mounted wearable Inertial Measurement Units (IMUs) has shown great performance in pedestrian navigation systems. Though the velocity errors …

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