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MBNN: A Multi-Branch Neural Network Capable of Utilizing Industrial Sample Unbalance for Fast Inference 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 2, 页码: 1809-1819
Authors:  Wang QZ(王其朝);  Wang K(王锴);  Li Q(李庆);  Yang, Zuye;  Jin, Guangshu;  Wang H(王宏)
Adobe PDF(2700Kb)  |  Favorite  |  View/Download：46/1  |  Submit date：2021/01/17
Fault diagnosis  Neural networks  Complexity theory  Computational modeling  Sensors  Optimization  Real-time systems  Neural network architecture  fault diagnosis  fast inference  unbalance sample  
Assessing the Feasibility of Game-theory-based Demand Response Management by Practical Implementation 期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 8220-8232
Authors:  Yu, Mengmeng;  Zhang, Xiongfeng;  Jiang, Junhui;  Lee, ChangDae;  Hong, Seung Ho;  Wang K(王锴);  Xu AD(徐皑冬)
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Demand response (DR)  implementation  energy management  game theory  
Particle filtering based remaining useful life prediction for electromagnetic coil insulation 期刊论文
Sensors (Switzerland), 2021, 卷号: 21, 期号: 2, 页码: 1-14
Authors:  Guo HF(郭海丰);  Xu AD(徐皑冬);  Wang K(王锴);  Sun Y(孙越);  Han XJ(韩晓佳);  Hong, Seung Ho;  Yu, Mengmeng
Adobe PDF(6810Kb)  |  Favorite  |  View/Download：24/1  |  Submit date：2021/01/30
insulation degradation  insulation failure  inter-turn short  resonant frequency  PF  prognostics  
Remaining Useful Life Prediction of Lithium Batteries Based on Extended Kalman Particle Filter 期刊论文
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2021, 卷号: 16, 期号: 2, 页码: 206-214
Authors:  Zhang, Ning;  Xu AD(徐皑冬);  Wang K(王锴);  Han XJ(韩晓佳);  Hong, Wenhuan;  Hong, Seung Ho
Adobe PDF(526Kb)  |  Favorite  |  View/Download：17/0  |  Submit date：2021/02/14
lithium‐  ion battery  remaining useful life  extended Kalman particle filter  double exponential empirical degradation model  
面向智能制造的工业机器人健康评估方法 期刊论文
机器人, 2020, 卷号: 42, 期号: 4, 页码: 460-468
Authors:  赵威;  王锴;  徐皑冬;  曾鹏;  杨顺昆;  孙越;  郭海丰
Adobe PDF(719Kb)  |  Favorite  |  View/Download：241/38  |  Submit date：2020/05/16
智能制造  故障预测与健康管理  工业机器人  边缘计算  深度学习  
Degradation monitoring of insulation systems used in low-voltage electromagnetic coils under thermal loading conditions from a creep point of view 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 13, 页码: 1-20
Authors:  Wang K(王锴);  Guo HF(郭海丰);  Xu AD(徐皑冬);  Pecht, Michael
Adobe PDF(7109Kb)  |  Favorite  |  View/Download：84/11  |  Submit date：2020/07/18
electromagnetic coil  insulation degradation monitoring  high-frequency electrical parameter  creep deformation  accelerated testing  
One-dimensional multi-scale domain adaptive network for bearing-fault diagnosis under varying working conditions 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 21, 页码: 1-17
Authors:  Wang K(王锴);  Zhao W(赵威);  Xu AD(徐皑冬);  Zeng P(曾鹏);  Yang SK(杨顺昆)
Adobe PDF(2707Kb)  |  Favorite  |  View/Download：83/3  |  Submit date：2020/11/14
domain adaptation  fault diagnosis  convolutional neural network  multi-scale features  distribution discrepancy  
A survey for the applications of content-based microscopic image analysis in microorganism classification domains 期刊论文
Artificial Intelligence Review, 2019, 卷号: 51, 期号: 4, 页码: 577–646
Authors:  Li C(李晨);  Wang K(王锴);  Xu, Ning
Adobe PDF(5105Kb)  |  Favorite  |  View/Download：194/46  |  Submit date：2017/08/20
Microorganism Classification  Content-based Microscopic Image Analysis  Feature Extraction  Classifier Design  
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 97216-97241
Authors:  Li C(李晨);  Kong FJ(孔樊杰);  Wang K(王锴);  Xu AD(徐皑冬);  Zhang, Gexiang;  Xu, Ning;  Liu ZH(刘志华);  Guo HF(郭海丰);  Wang, Xue;  Liang, Kuan;  Yuan, Jianying;  Qi, Shouliang;  Jiang T(蒋涛)
Adobe PDF(6392Kb)  |  Favorite  |  View/Download：115/14  |  Submit date：2019/08/29
Low-voltage electromagnetic coil  insulation degradation monitoring  ensemble learning  machine vision  membrane computing  microscopic image analysis  feature extraction  
Quadratic-wavelet-transform-based fault detection approach for temperature sensor 期刊论文
IEEJ Transactions on Electrical and Electronic Engineering, 2019, 卷号: 14, 页码: 148-156
Authors:  Han XJ(韩晓佳);  Xu AD(徐皑冬);  Wang K(王锴);  Guo HF(郭海丰);  Zhang N(张凝);  Liu Y(刘洋);  Hong, Seung Ho
Adobe PDF(803Kb)  |  Favorite  |  View/Download：279/39  |  Submit date：2018/08/20
quadratic wavelet transform  temperature sensor  fault detection  noise signal  process signal