Kai Wang
Orcid: 0000-0003-4802-520XAffiliations:
- Chinese Academy of Sciences, Shenyang Institute of Automation, China
According to our database1,
Kai Wang
authored at least 14 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2023
Degradation-Sensitive Health Indicator Construction for Precise Insulation Degradation Monitoring of Electromagnetic Coils.
Entropy, September, 2023
2022
Intelligent Fault Diagnosis for Bearings of Industrial Robot Joints Under Varying Working Conditions Based on Deep Adversarial Domain Adaptation.
IEEE Trans. Instrum. Meas., 2022
Intelligent Fault Diagnosis of Industrial Robot Based on Multiclass Mahalanobis-Taguchi System for Imbalanced Data.
Entropy, 2022
Proceedings of the International Symposium on Networks, Computers and Communications, 2022
2021
Particle Filtering Based Remaining Useful Life Prediction for Electromagnetic Coil Insulation.
Sensors, 2021
Computing, 2021
Assessing the Feasibility of Game-Theory-Based Demand Response Management by Practical Implementation.
IEEE Access, 2021
2020
One-Dimensional Multi-Scale Domain Adaptive Network for Bearing-Fault Diagnosis under Varying Working Conditions.
Sensors, 2020
Degradation Monitoring of Insulation Systems Used in Low-Voltage Electromagnetic Coils under Thermal Loading Conditions from a Creep Point of View.
Sensors, 2020
2019
A survey for the applications of content-based microscopic image analysis in microorganism classification domains.
Artif. Intell. Rev., 2019
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework.
IEEE Access, 2019
Incentivizing Strategy for Demand Response Aggregator Considering Market Entry Criterion: A Game Theoretical Approach.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
2018
Creating Self-Aware Low-Voltage Electromagnetic Coils for Incipient Insulation Degradation Monitoring for Smart Manufacturing.
IEEE Access, 2018
2016
A Novel Method of Fault Detection for Solenoid Valves Based on Vibration Signal Measurement.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016