Fuqing Yuan
Job description
Main research interest focuses on novel sensor development and reliability engineering.
A professional software engineer.
Diverse background includes signal/data analysis, machine learning, Internet of Things (IoT).
The 50 latest publications is shown on this page. See all publications in Cristin here →
Publications outside Cristin
I. Book as single author, Reliability Data Analysis, (draft ready, to be published)
II. Selected publication prior to 2015. Please refer "Works in Cristin" for publication after 2015.
1. Fuqing, Y. and U. Kumar, A General Imperfect Repair Model Considering Time-Dependent Repair Effectiveness. IEEE Transactions on Reliability, 2012. 61(1): p. 95-100.
2. Fuqing, Y. and U. Kumar, Kernelized Proportional Intensity Model for Repairable System considering Piecewise Operating Condition. IEEE Transactions on Reliability, 2012. 61 (3):p 618-624.
3. Fuqing, Y. and U. Kumar, A Cost Model for Repairable System Considering Multi-failure types over Finite Time Horizon. International Journal of Performability Engineering, 2011. 7(2): p. 121-129.
4. Fuqing, Y., U. Kumar, and D. Galar, Reliability Prediction using Support Vector Regression. International Journal of Systems Assurance Engineering and Management, 2010. 1(3):p. 263-268.
5. Fuqing, Y., U. Kumar, and D. Galar, Fault Diagnosis in Railway Assets using Support Vector Machine and Ant Colony Optimization Method. International journal of COMADEM, 2012.15(2):p. s3-10.
6. Fuqing, Y. and U. Kumar, Complex System Reliability Evaluation using Support Vector Machine for Incomplete Data-set. International Journal of Performability Engineering, 2011. 7(1): p. 32-42.
7. Fuqing, Y., U. Kumar, Proportional Intensity Models for Repairable Systems with Imperfect Repair. International Journal of Performability Engineering, 2013.9(2):p.163-174.
8. Fuqing, Y., U. Kumar, and D. Galar, A Comparative Study of Artificial Neural Networks and Support Vector Machine for Fault Diagnosis. International Journal of Performability Engineering, 2013. 9(1).p. 49-60.
9. Fuqing, Y., U. Kumar, and D. Galar, An Adaptive Multiple-kernel Method based Support Vector Machine for Classification. International Journal of Condition Monitoring, 2013.3(1).p.8-15.
10. Fuqing, Y., U. Kumar, and D. Galar, Statistical Index Development from Time Domain for Rolling Element Bearings. International Journal of Performability Engineering, 2014.10(3).p. 313-324.
Research interests
Novel sensor development, Risk/Reliability engineering,Software Design,Signal/Data analysis,Machine learning,Internet of Things (IoT).
1. Research Project in Norway: Ice-Proof: Novel ice sensor development.
Teaching
TEK3002-Reliability Engineering
SIK2005-Failure Phyiscs (Introduction to engineering failure)