chengchao
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- Professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):chengchao
- Date of Birth:1984-02-18
- E-Mail:
- Date of Employment:2014-12-22
- School/Department:计算机科学与工程学院
- Administrative Position:院长
- Education Level:With Certificate of Graduation for Doctorate Study
- Business Address:北湖计算机楼314
- Contact Information:0431-85717301
- Degree:Doctoral degree
- Professional Title:Professor
- Status:Employed
- Alma Mater:吉林大学
- Teacher College:计算机科学与工程学院
- Discipline:Other specialties in Control Science and Engineering
Signal and Information Processing
Contact Information
- ZipCode：
- PostalAddress：
- OfficePhone：
- Email：
- Scientific Research
Research Field
Artificial intelligence, data-driven methods, fault diagnosis, predictive maintenance of dynamic systems, wireless communication.
Paper Publications
MORE+
- chengchao,王强,蓬勃,谢普.【SCI3区通信作者】A novel data-driven fault detection method based on stable kernel representation for dynamic systems.Sensors,2023:1
- chengchao,陈宏田,王威珺,郭东升,许水清.Data-Driven Robust Designs of Performance Prediction and Its Application in High-speed Trains.2023 8th IEEE International Conference on Advanced Robotics and Mechatronics,2023:2
- chengchao,王威珺,孟翔西,邵海东,陈宏田.【SCI4区第一作者程超】Sigma-Mixed Unscented Kalman Filter-Based Fault Detection for Traction Systems in High-Speed Trains.Chinese Journal of Electronics,2023:1
- chengchao,孙修远,邵俊捷,陈宏田,尚超.【SCI3区第一作者程超】Just-in-time Learning-aided Nonlinear Fault Detection for Traction Systems of High-speed Trains.International Journal of Control, Automation, and Systems,2023:1
- chengchao,孙修远,宋洋,刘一岐,柳春,陈宏田.【SCI2区第一作者程超】A just-in-time manifold-based fault detection method for electrical drive systems of high-speed trains.SIMULATION MODELLING PRACTICE AND THEORY,2023,127:1
Patents
Published Books