Search Results - "Wen, Guangrui"

Weld image deep learning-based on-line defects detection using convolutional neural networks for Al alloy in robotic arc welding by Zhang, Zhifen, Wen, Guangrui, Chen, Shanben

“…Accurate on-line weld defects detection is still challenging for robotic welding manufacturing due to the complexity of weld defects. This paper studied deep…”
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Random forest-based real-time defect detection of Al alloy in robotic arc welding using optical spectrum by Zhang, Zhifen, Yang, Zhe, Ren, Wenjing, Wen, Guangrui

“…Aluminum alloy of arc welding is the main technology for the key components manufacturing in aerospace, nuclear power, ship and so on. Real-time weld defects…”
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Protection Devices in Commercial 18650 Lithium-Ion Batteries by Xu, Bin, Kong, Lingxi, Wen, Guangrui, Pecht, Michael G.

“…18650 Lithium-ion batteries are wildly used as power sources for portable electronics because of the standardized format and economical manufacturing cost…”
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Residual Swin transformer-based weld crack leakage monitoring of pressure pipeline by Huang, Jing, Zhang, Zhifen, Qin, Rui, Yu, Yanlong, Li, Yongjie, Wen, Guangrui, Cheng, Wei, Chen, Xuefeng

“…In recent years, acoustic emission (AE) has been widely used in pipeline operation safety monitoring and pipeline integrity maintenance. However, the diversity…”
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Bearing performance degradation assessment using adversarial fusion convolutional autoencoder based on multi-source information by Wang, Enxiu, Zhou, Haoxuan, Wen, Guangrui, Huang, Ziling, Liu, Zimin, Chen, Xuefeng

“…Bearing operation states will directly determine the performance of the equipment; thus, monitoring operation status and degradation indicators is the key to…”
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EEMD independent extraction for mixing features of rotating machinery reconstructed in phase space by Ma, Zaichao, Wen, Guangrui, Jiang, Cheng

“…Empirical Mode Decomposition (EMD), due to its adaptive decomposition property for the non-linear and non-stationary signals, has been widely used in vibration…”
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In-Situ Monitoring of Laser Additive Manufacturing for Al7075 Alloy Using Emission Spectroscopy and Plume Imaging by Ren, Wenjing, Zhang, Zhifen, Lu, Yi, Wen, Guangrui, Mazumder, Jyoti

“…Most aluminum alloys, especially the 7xxx series, are incompatible with laser additive manufacturing due to many factors. In-situ process monitoring technology…”
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An incremental learning framework for pipeline weld crack damage identification and leakage rate prediction by Huang, Jing, Zhang, Zhifen, Yu, Yanlong, Li, Yongjie, Zhang, Shuai, Qin, Rui, Xing, Ji, Cheng, Wei, Wen, Guangrui, Chen, Xuefeng

“…The weld crack leakage due to stress concentration and external load is a significant safety risk in pressure pipelines. Microstructural variations and dynamic…”
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Frequency Phase Space Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis by Huang, Xin, Wen, Guangrui, Liang, Lin, Zhang, Zhifen, Tan, Yuan

“…As one of the most important components in rotating machinery, rolling bearings are fragile due to their harsh working environment. The empirical wavelet…”
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Intra-layer and inter-layer monitoring of laser powder bed fusion defects based on airborne acoustic and gn-Res model: pore and deformation by Shuai Zhang, Zhifen Zhang, Xizhang Chen, Rui Qin, Jie Wang, Zijian Bai, Zhiwen Li, Jing Huang, Yu Su, Guangrui Wen, Xuefeng Chen

“…Macroscopic deformation and microscopic pores are the main defects affecting the comprehensive performance of laser powder bed fusion (LPBF) parts. The LPBF…”
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The Generation, Measurement, Prediction, and Prevention of Residual Stress in Nickel-Based Superalloys: A Review by Zhang, Yuanlin, Wen, Guangrui, Li, Liangbo, Lei, Zihao, Qi, Xiaogang, Huang, Boyang, Su, Yu, Zhang, Zhifen, Nie, Xiangfan, Zhang, Zhanling

“…As a crucial high-performance material, nickel-based superalloys inevitably generate residual stresses during processing, manufacturing, and usage. The…”
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Rolling Bearing Incipient Degradation Monitoring and Performance Assessment Based on Signal Component Tracking by Dong, Shuzhi, Wen, Guangrui, Zhang, Zhifen, Yuan, Yujiao, Luo, Jianqing

“…To ensure a long-time stable operation of the rolling bearing, it is important to accurately assess their working performance, especially the incipient…”
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A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery by Lin, Hailong, Lei, Zihao, Wen, Guangrui, Tian, Xiaojun, Huang, Xin, Liu, Jinsong, Zhou, Haoxuan, Chen, Xuefeng

“…Rolling bearings are key components of rotating machinery, and predicting the remaining useful life (RUL) is of great significance in practical industrial…”
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Robust Estimation of the Unbalance of Rotor Systems Based on Sparsity Control of the Residual Model by Zang, Tingpeng, Zhang, Zhifen, Wen, Guangrui

“…The vibration signals of rotating machinery are frequently disturbed by background noise and external disturbances because of the equipment’s particular…”
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A New Modelling and Feature Extraction Method Based on Complex Network and Its Application in Machine Fault Diagnosis by Zhang, Zhifen, Wen, Guangrui, Tian, Tian, Zhang, Qi

“…The application of the existing complex network in fault diagnosis is usually modelled based on the time domain, resulting in the loss of sign frequency-domain…”
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Environmental protection and social development: an optimization perspective from two polarities by He, Qianyue, Lei, Zihao, An, Ruoding, Yu, Yiyun, Huang, Xin, Wen, Guangrui, Chen, Xuefeng

“…The development of human society is currently in a dilemma, where the further development of society needs to be considered, simultaneously, the environmental…”
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Seam Penetration Recognition for GTAW Using Convolutional Neural Network Based on Time-Frequency Image of Arc Sound by Wenjing Ren, Guangrui Wen, Shijie Liu, Zhe Yang, Bin Xu, Zhifen Zhang

“…Online monitoring and diagnosis of welding quality is essential for intelligent welding manufacturing. The recognition performance of penetration for aluminum…”
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Multisensory data fusion technique and its application to welding process monitoring by Zhifen Zhang, Guangrui Wen, Shanben Chen

“…Multiple sensors of various source have been increasingly applied into different civilian situations as well as robotic welding process monitoring. How to take…”
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Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations by Wen, Guangrui, Ma, Zaichao, Zhang, Xiaodong, Dong, Xiaoni, Zhang, Zhifen

“…Process models and parameters are two critical steps for fault prognosis in the operation of rotating machinery. Due to the requirement for a short and rapid…”
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Audible Sound-Based Intelligent Evaluation for Aluminum Alloy in Robotic Pulsed GTAW: Mechanism, Feature Selection, and Defect Detection by Zhang, Zhifen, Wen, Guangrui, Chen, Shanben

“…Aluminum alloy is the main structure material in aerospace industry. Online defect detection for aluminum alloy in pulsed gas tungsten arc welding (GTAW) is…”
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