Weizhong Yan, Ph.D. - Publications
Affiliations: | 2003 | Rensselaer Polytechnic Institute, Troy, NY, United States |
Area:
Mechanical Engineering, Computer Science, Aerospace EngineeringYear | Citation | Score | |||
---|---|---|---|---|---|
2020 | Yan W. Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning Cognitive Computation. 12: 1-14. DOI: 10.1007/S12559-019-09710-7 | 0.377 | |||
2016 | Zhang JK, Yan W, Cui DM. Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines. Sensors (Basel, Switzerland). 16. PMID 27023563 DOI: 10.3390/S16040447 | 0.333 | |||
2008 | Goebel K, Yan W. Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning Ieee Systems Journal. 2: 189-197. DOI: 10.1109/Jsyst.2008.925262 | 0.33 | |||
2006 | Goebel KF, Hu X, Eklund NHW, Yan W. Fusing diverse monitoring algorithms for robust change detection Proceedings of Spie - the International Society For Optical Engineering. 6242. DOI: 10.1117/12.665922 | 0.602 | |||
2006 | Goebel KF, Yan W, Eklund NHW, Hu X, Avasarala V, Celaya J. Defect classification of highly noisy NDE data using classifier ensembles Proceedings of Spie - the International Society For Optical Engineering. 6167. DOI: 10.1117/12.659704 | 0.611 | |||
2005 | Yan W, Goebel KF. Feature selection for partial discharge diagnosis Proceedings of Spie - the International Society For Optical Engineering. 5768: 166-175. DOI: 10.1117/12.599819 | 0.607 | |||
2004 | Yan W, Goebel KF. Designing classifier ensembles with constrained performance requirements Proceedings of Spie - the International Society For Optical Engineering. 5434: 59-68. DOI: 10.1117/12.542616 | 0.616 | |||
2002 | Goebel KF, Yan W. Fusing binary and continuous output of multiple classifiers Proceedings of the 5th International Conference On Information Fusion, Fusion 2002. 1: 380-387. DOI: 10.1109/ICIF.2002.1021178 | 0.583 | |||
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