Weizhong Yan, Ph.D.
Affiliations: | 2003 | Rensselaer Polytechnic Institute, Troy, NY, United States |
Area:
Mechanical Engineering, Computer Science, Aerospace EngineeringGoogle:
"Weizhong Yan"Parents
Sign in to add mentor| Kai F. Goebel | grad student | 2003 | RPI | |
| (Diagnostic system configuration optimization and its application to aircraft engine fault diagnosis.) | ||||
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Publications
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| Yan W. (2020) Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning Cognitive Computation. 12: 1-14 |
| Zhang JK, Yan W, Cui DM. (2016) Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines. Sensors (Basel, Switzerland). 16 |
| Goebel K, Yan W. (2008) Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning Ieee Systems Journal. 2: 189-197 |
| Goebel KF, Hu X, Eklund NHW, et al. (2006) Fusing diverse monitoring algorithms for robust change detection Proceedings of Spie - the International Society For Optical Engineering. 6242 |
| Goebel KF, Yan W, Eklund NHW, et al. (2006) Defect classification of highly noisy NDE data using classifier ensembles Proceedings of Spie - the International Society For Optical Engineering. 6167 |
| Yan W, Goebel KF. (2005) Feature selection for partial discharge diagnosis Proceedings of Spie - the International Society For Optical Engineering. 5768: 166-175 |
| Yan W, Goebel KF. (2004) Designing classifier ensembles with constrained performance requirements Proceedings of Spie - the International Society For Optical Engineering. 5434: 59-68 |
| Goebel KF, Yan W. (2002) Fusing binary and continuous output of multiple classifiers Proceedings of the 5th International Conference On Information Fusion, Fusion 2002. 1: 380-387 |