中文

Journal Publications

[41]TIAN Can, TANG Zhaohui.Operating condition recognition based on temporal cumulative distribution function and AdaBoost-extreme learning machine in zinc flotation process[J].Powder Technology, 2022, 395: 545-555.
[42]LI Yaoguo, TANG Zhaohui, Feedforward Compensation of Railway Static Power Conditioners in a V/v Traction Power Supply System[J].electronics, 2021, 10 (656)
[43]PENG Chen, TANG Zhaohui, A bidirectional weighted boundary distance algorithm for time series similarity computation based on optimized sliding window size[J]. 美国.Journal of Industrial and Management Optimization, 2021, 17 (1) : 205-220.
[44]Hu Zhang, Zhaohui Tang.Grade prediction of zinc tailings using an encoder-decoder model in froth flotation[J].Minerals Engineering, 2021, 172
[45]ZHANG Guoyong, TANG Zhaohui.Steel Wire Rope Surface Defect Detection Based on Segmentation Template and Spatiotemporal Gray Sample Set[J].SENSORS, 2021, 21 (5401)
[46]Xiaoliang Gao, Zhaohui Tang.A layered working condition perception integrating handcrafted with deep features[J].Minerals Engineering, 2021, 170
[47]Hu Zhang, Zhaohui Tang.Grouped Time Series Networks for Grade Monitoring of Zinc Tailings With Multisource Features[J].IEEE Transactions on Instrumentation and Measurement, 2021, 70
[48]Hu Zhang, Zhaohui Tang.RPI-SURF: A Feature Descriptor for Bubble Velocity Measurement in Froth Flotation With Relative Position Information[J].IEEE Transactions on Instrumentation and Measurement, 2021, 70
[49]Jin Luo, Zhaohui Tang.LTGH: A Dynamic Texture Feature for Working Condition Recognition in the Froth Flotation[J].IEEE Transactions on Instrumentation and Measurement, 2021, 70
[50]PENG Chen, TANG Zhaohui, A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion[J].sensors, 2021, 21 (418)
[51]Hu Zhang, Zhaohui Tang.Long short-term memory-based grade monitoring in froth flotation using a froth video sequence[J].Minerals Engineering, 2021, 160
[52]Hu Zhang, Zhaohui Tang.Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation[J].IEEE Transactions on Industrial Informatics, 2020, 17 (12) : 8406-8417.
[53]Tang.Zhaohui.A Similarity-Based Burst Bubble Recognition Using Weighted Normalized Cross Correlation and Chamfer Distance[J].IEEE Transactions on Industrial Informatics, 2020, 16 (6) : 4077-4089.
[54]Tang Zhaohui, Convolutional memory network-based flotation performance monitoring[J].Minerals Engineering, 2020, 151: 106332.
[55]Tang Zhaohui, Timed key-value memory network for flotation reagent control[J].Control Engineering Practice, 2020, 98: 104360.
[56]Tang,Zhaohui, Intelligent Setting Method of Reagent Dosage Based on Time Series Froth Image in Zinc Flotation Process[J].Processes, 2020, 8 (5) : 536.
[57]Tang Zhaohui, FoGDbED: Fractional-order Gaussian derivatives-based edge-relevant structure detection using Caputo-Fabrizio definition[J].Digital Signal Processing,, 2020, 98: 102639.
[58]Tang Zhaohui, Review of Key Technologies and Progress in Industrial Equipment Health Management[J].IEEE Access, 2020, 8: 151764-151776.
[59]Tang Zhaohui*, A watershed segmentation algorithm based on an optimal marker for bubble size measurement.[J].Measurement, 2019, 138: 182-193.
[60]LIU Jinping, TANG Zhaohui.ANID-SEoKELM: Adaptive network intrusion detection based on selective ensemble of kernel ELMs with random features？[J].Knowledge-Based Systems, 2019, 177: 104-116.

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