Search Results - "Zhao, Yunji"

Fire smoke detection based on target-awareness and depthwise convolutions by Zhao, Yunji, Zhang, Haibo, Zhang, Xinliang, Chen, Xiangjun

“…Because smoke usually appears before a flame arises, fire smoke detection is significant for early warning systems. This paper proposes a TADS…”
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New Optimization Approach of State Estimation for Neural Networks with Mixed Delays by Liu, Haibo, Qian, Wei, Zhao, Yunji

“…This article investigates the H ∞ state estimation for neural networks with both discrete and distributed time-delays. A new Lyapunov–Krasovskii functionals…”
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BIHAF-Net: Bilateral Interactive Hierarchical Adaptive Fusion Network for Collaborative Classification of Hyperspectral and LiDAR Data by Zhao, Yunji, Bao, Wenming, Xu, Jun, Xu, Xiaozhuo

“…Multimodal remote sensing data can portray land-cover characteristics more comprehensively. Deep learning has powerful feature extraction capability…”
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Performance analysis and optimization of permanent magnet flux switched linear motor for ropeless elevator by Xu, Xiaozhuo, Zhang, Wei, Feng, Haichao, Zhao, Yunji, Ai, Liwang

“…Permanent magnet linear synchronous motor (PMLSM) is one of the ideal driving sources of ropeless elevators. However, such motors, whether moving magnetic or…”
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Distributed H∞ State Estimation in Sensor Network Subject to State and Communication Delays by Qian, Wei, Zhang, Xianglin, Zhao, Yunji, Zhang, Xinliang

“…The distributed H ∞ state estimation of delayed sensor network is dealt with in this paper. To deeply reflect the time-delay phenomenon in the process of…”
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Multi‐objective optimisation design of a suspension‐guided permanent magnet synchronous linear motor for ropeless elevator by Xu, Xiaozhuo, Zhang, Yangyang, Feng, Haichao, Zhao, Yunji, Zhou, Menglin

“…In this article, a suspension‐guided permanent magnet synchronous linear motor (SG‐PMSLM) for ropeless elevator is proposed, which can meet the requirements of…”
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A deep-learning model with improved capsule networks and LSTM filters for bearing fault diagnosis by Zhang, Xinliang, Kong, Junwei, Zhao, Yunji, Qian, Wei, Xu, Xiaozhuo

“…The deep-learning networks for bearing fault diagnosis may encounter ambient noise interference. The inherently feedforward serial structure lacks the…”
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Bearing Fault Diagnosis Based on Mel Frequency Cepstrum Coefficient and Deformable Space-Frequency Attention Network by Zhao, Yunji, Zhang, Nannan, Zhang, Zhihao, Xu, Xiaozhuo

“…The main bearing is the core component of gas-fired generator, and its reliability directly affects the stability of the whole system. Therefore, it is of…”
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Rolling Bearing Fault Diagnosis with Distribution Shift Data Using Improved Spatial Distribution Filters and Constraint Feature Extraction by Zhao, Yunji, Bao, Wenming, Xu, Xiaozhuo

“…The main bearing is a key component to maintaining the stable and safe operation of the gas generator power end, so fault diagnosis for the main bearing has…”
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Target re-aware deep tracking based on correlation filters updated online by Zhao, Yunji, Fan, Cunliang, Zhang, Xinliang, Chen, Xiangjun

“…Deep trackers often use convolutional neural networks (CNNs) pre-trained to extract features. The training dataset always does not contain the tracking…”
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Fault diagnosis of rolling bearings with noise signal based on modified kernel principal component analysis and DC‐ResNet by Zhao, Yunji, Zhou, Menglin, Xu, Xiaozhuo, Zhang, Nannan

“…Abstract In view of the influence of aliasing noise on the effectiveness and accuracy of bearing fault diagnosis, a bearing fault diagnosis algorithm based on…”
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Fault diagnosis based on feature enhancement and spatial adjacent region dropout strategy by Zhao, Yunji, Zhou, Yuhang, Xu, Xiaozhuo, Qin, Baofu, Guo, Xiangwei

“…Ensuring safe machine operation in industrial environments requires accurate bearing fault diagnosis. However, maintaining consistent data distribution between…”
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Bearing Fault Diagnosis of Single-Channel Data by a 3D DCN with Bilinear LBP and Modified KPCA by Zhao, Yunji, Zhou, Menglin, Wang, Li, Xu, Xiaozhuo, Zhang, Nannan

“…The vibration signal has the characteristics of nonlinear and non-stationary, and the distribution of fault feature information contained in it is not…”
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Bearing fault diagnosis with cascaded space projection and a CNN by Zhao, Yunji, Zhou, Menglin, Wang, Li, Xu, Xiaozhuo, Zhang, Nannan

“…Fault diagnosis is essential for the normal and safe operation of dynamic systems. To improve the spatial resolution among multiple channels and the…”
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An improved YOLOv3 model based on skipping connections and spatial pyramid pooling by Zhang, Xinliang, Wang, Wanru, Zhao, Yunji, Xie, Heng

“…The cascaded deep-learning network of YOLOv3 emphasizes on the layer-wise feature extraction. It neglects the sequential influence among the layers that…”
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Fault Diagnosis Based on Space Mapping and Deformable Convolution Networks by Zhao, Yunji, Zhou, Menglin, Xu, Xiaozhuo, Zhang, Nannan, Zhang, Haibo

“…The data-driven method based on deep learning is one of the popular issues in the field of fault diagnosis. The completeness and representativeness of the…”
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An improved volumetric grid deep network model for point cloud segmentation by Zhang, Xinliang, Fu, Chenlin, Zhao, Yunji

“…Voxel grid is widely used in point cloud segmentation due to its regularity. However, the memory consumption caused by high resolution restricts the…”
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Fault diagnosis of gas turbine based on matrix capsules with EM routing by Zhao, Yunji, Zhou, Menglin, Zhang, Nannan, Xu, Xiaozhuo, Zhang, Xinliang

“…The fault detection and diagnosis of a gas turbine is of great significance for guaranteeing the complicated dynamic systems working normally and safely. Most…”
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An Active State of Charge Balancing Method With LC Energy Storage for Series Battery Pack by Xu, Xiaozhuo, Xing, Cheng, Wu, Qi, Qian, Wei, Zhao, Yunji, Guo, Xiangwei

“…To reduce the impact of series battery pack inconsistency on energy utilization, an active state of charge (SOC) balancing method based on an inductor and…”
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Stability analysis of wide area power system under the influence of interval time-varying delay by Wang, Chen-chen, Qian, Wei, Li, Bing-feng, Zhao, Yunji

“…In view of the problem that time delay always existing in wide area power system can cause severe effects on the operation performance of the whole system,…”
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