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：
- Paper Publications
- Sigma-Mixed Unscented Kalman Filter-Based Fault Detection for Traction Systems in High-Speed Trains (中科院四区，中国期刊，2023年发表).Chinese Journal of Electronics,2023,32(5):982-991
- Slow Manifold Analysis-Based Detection of Hot Spots in Photovoltaic Systems (中科院一区，TOP期刊，2022年发表).IEEE Transactions on Instrumentation and Measurement,2022,71
- A Unified BRB-Based Framework for Real-Time Health Status Prediction in High-Speed Trains (中科院二区，TOP期刊，2022年发表).IEEE Transactions on Vehicular Technology,2022,71(9):9272-9282
- A Data-Driven Distributed Fault Detection Scheme Based on Subspace Identification Technique for Dynamic Systems (中科院二区，TOP期刊，2022年发表).International Journal of Robust and Nonlinear Control,2022,33(5):3107-3128
- Time-series Independent Component Analysis-aided Fault Detection for Running Gear Systems (中科院三区，2022年发表).International Journal of Control, Automation, and Systems,2022,20(9):2892-2901
- Data-Driven Designs of Fault Identification Via Collaborative Deep Learning for Traction Systems in High-Speed Trains (中科院一区，TOP期刊，2021年发表).IEEE Transactions on Transportation Electrification,2021,8(2):1748-1757
- Multi-block Dynamic Slow Feature Analysis-Based System Monitoring for Electrical Drives of High-Speed Trains (中科院一区，TOP期刊，2021年发表).IEEE Transactions on Instrumentation and Measurement,2021,70
- Health Status Assessment for LCESs Based on Multi-discounted Belief Rule Base (中科院一区，TOP期刊，2021年发表).IEEE Transactions on Instrumentation and Measurement,2021,70
- A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches (中科院三区，综述文章，2021年发表).Entropy,2021,23(1)
- Enhanced Fault Diagnosis Using Broad Learning for Traction Systems in High-speed Trains (中科院一区，TOP期刊，2021年发表).IEEE Transactions on Power Electronics,2021,36(7):7461-7469