Weizhong Yan

发表

Designing classifier ensembles with constrained performance requirements

Weizhong Yan, Kai F. Goebel, 2004, SPIE Defense + Commercial Sensing.

Fusion in multi-criterion feature ranking

Weizhong Yan, Weizhong Yan, 2007, 2007 10th International Conference on Information Fusion.

Security Prognostics: Cyber meets PHM

Bouchra Bouqata, Piyush Mishra, Weizhong Yan, 2013, 2013 IEEE Conference on Prognostics and Health Management (PHM).

Classifier performance measures in multifault diagnosis for aircraft engines

Weizhong Yan, Kai F. Goebel, James C.-M. Li, 2002, SPIE Defense + Commercial Sensing.

Fusing binary and continuous output of multiple classifiers

Weizhong Yan, K. F. Goebel, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Uncertainty with the Gamma Test for model input data selection

Dawei Han, Weizhong Yan, Ali Moghaddam Nia, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning

Kai Goebel, Weizhong Yan, K. Goebel, 2008, IEEE Systems Journal.

Gaussian process for long-term time-series forecasting

Weizhong Yan, Ya Xue, Hai Qiu, 2009, 2009 International Joint Conference on Neural Networks.

The TRAC mission manager autonomous control executive

Weizhong Yan, T.L. Johnson, S.F. Bush, 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

Jet engine gas path fault diagnosis using dynamic fusion of multiple classifiers

Feng Xue, Weizhong Yan, Weizhong Yan, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A MULTIPLE CLASSIFIER SYSTEM FOR AIRCRAFT ENGINE FAULT DIAGNOSIS

Weizhong Yan, Kai F. Goebel, C. James Li, 2006 .

One-class extreme learning machines for gas turbine combustor anomaly detection

Weizhong Yan, Weizhong Yan, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Diagnostic system configuration optimization and its application to aircraft engine fault diagnosis

Weizhong Yan, Kai F. Goebel, James C.-M. Li, 2003 .

Anomaly Detection Using Non-Parametric Information

Piero P. Bonissone, Kai Goebel, Weizhong Yan, 2007 .

Feature selection for partial discharge diagnosis

Kai Goebel, Weizhong Yan, K. Goebel, 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Fault Detection for Gas Turbine Hot Components Based on a Convolutional Neural Network

Jinfu Liu, Myeongsu Kang, Daren Yu, 2018, Energies.

Toward Automatic Time-Series Forecasting Using Neural Networks

Weizhong Yan, Weizhong Yan, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Parametric model-based anomaly detection for locomotive subsystems

Feng Xue, Weizhong Yan, Weizhong Yan, 2007, 2007 International Joint Conference on Neural Networks.

Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines

Weizhong Yan, Jing-Kui Zhang, De-Mi Cui, 2016, Sensors.

A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric

Piero P. Bonissone, Srinivas Bollapragada, Feng Xue, 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

Multi-classifier Fusion for Assessing the Health of Aircraft Engines

Xiao Hu, Weizhong Yan, Hai Qiu, 2010 .

Cyberattack Detection for Cyber Physical Systems Security – A Preliminary Study

Masoud Abbaszadeh, Justin John, Weizhong Yan, 2018 .

Using correlation-based measures to select classifiers for decision fusion

Kai Goebel, Weizhong Yan, 2005, SPIE Defense + Commercial Sensing.

Early Detection of Lubrication Anomalies in Oil-Lubricated Bearings

Kenneth A. Loparo, Weizhong Yan, Naresh Sundaram Iyer, 2007 .

Learning mixtures of experts with a hybrid generative-discriminative algorithm

Xiao Hu, Weizhong Yan, Ya Xue, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Anomaly detection using data clustering and neural networks

Xiao Hu, Neil H. W. Eklund, Weizhong Yan, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Verfahren und System zur Durchführung von prädiktiver Modellierung mit mehrfachen Zielen, Überwachung und Aktualisierung für ein Vermögen

James Joseph Schmid, Weizhong Yan, Neil Eklund, 2006 .

Fusing diverse monitoring algorithms for robust change detection

Xiao Hu, Kai Goebel, Weizhong Yan, 2006, SPIE Defense + Commercial Sensing.

Concept drift learning with alternating learners

Rui Xu, Paul A. Ardis, Yunwen Xu, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Operational Data Based Anomaly Detection for Locomotive Diagnostics

Feng Xue, Weizhong Yan, Anil Varma, 2006, MLMTA.

Attack Detection for Securing Cyber Physical Systems

Masoud Abbaszadeh, Weizhong Yan, Lalit Keshav Mestha, 2019, IEEE Internet of Things Journal.

Hybrid Data Fusion for Correction of Sensor Drift Faults

K. Goebel, Weizhong Yan, 2006, The Proceedings of the Multiconference on "Computational Engineering in Systems Applications".

Time receiver operating characteristic (tROC) curves: A new tool for evaluating the performance of diagnostic systems

Xiao Hu, Neil H. W. Eklund, Weizhong Yan, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Algorithms for Partial Discharge Diagnostics Applied to Aircraft Wiring

Weizhong Yan, Kai F. Goebel, Nicole Evers, 2005 .

Estimating Deterioration Level of Aircraft Engines

Piero P. Bonissone, Kai Goebel, Feng Xue, 2007 .

Validation of the Gamma Test for Model Input Data Selection - with a Case Study in Evaporation Estimation

Dawei Han, Weizhong Yan, 2009, 2009 Fifth International Conference on Natural Computation.

An Instance-Based Method for Remaining Useful Life Estimation for Aircraft Engines

Piero P. Bonissone, Kai Goebel, Feng Xue, 2008 .

Application of Random Forest to Aircraft Engine Fault Diagnosis

Weizhong Yan, Weizhong Yan, 2006, The Proceedings of the Multiconference on "Computational Engineering in Systems Applications".

Time series classification from scratch with deep neural networks: A strong baseline

Tim Oates, Zhiguang Wang, Weizhong Yan, 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

On reducing feature dimensionality for partial discharge diagnosis applications

Weizhong Yan, 2012, Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing).

Classifier Fusion Using Triangular Norms

Piero P. Bonissone, Kai Goebel, Weizhong Yan, 2004, Multiple Classifier Systems.

Fault detection and multiclassifier fusion for unmanned aerial vehicles (UAVs)

Weizhong Yan, 2001, SPIE Defense + Commercial Sensing.

Management of Complex Dynamic Systems based on Model-Predictive Multi-objective Optimization

Feng Xue, N. Iyer, P. Bonissone, 2006, 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.

p-PIC: Parallel power iteration clustering for big data

Weizhong Yan, Ya Xue, Umang Brahmakshatriya, 2013, J. Parallel Distributed Comput..

Improving Classifier Fusion Using Particle Swarm Optimization

Kalyan Veeramachaneni, Kai Goebel, Lisa Ann Osadciw, 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

Application ofRandomForest toAircraft Engine Fault Diagnosis

Weizhong Yan, 2006 .

Forecasting and Early Warning for Adversarial Targeting in Industrial Control Systems

Masoud Abbaszadeh, Lalit K. Mestha, Weizhong Yan, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques

Weizhong Yan, De-Mi Cui, Xiao-Quan Wang, 2017, Sensors.

Towards modeling and detection of polymorphic network attacks using grammar based learning with Support Vector Machines

Weizhong Yan, Eric Steinbrecher, Scott C. Evans, 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

Feature Extraction for Bearing Prognostics and Health Management (PHM) - A Survey (Preprint)

Weizhong Yan, Hai Qiu, Naresh Iyer, 2008 .

Block matrix-based marpreduce pagerank algorithm web structure mining applied effect research

Weizhong Yan, 2014 .

Sensor validation and fusion for gas turbine vibration monitoring

Kai Goebel, Weizhong Yan, K. Goebel, 2003, SPIE Defense + Commercial Sensing.

On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach pdf

Weizhong Yan, Lijie Yu, Weizhong Yan, 2019, ArXiv.

Network attack visualization and response through intelligent icons

Richard Bejtlich, Weizhong Yan, Eric Steinbrecher, 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

Designing a Neural Network Decision System for Automated Insurance Underwriting

Piero P. Bonissone, Weizhong Yan, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective

Weizhong Yan, Kareem S. Aggour, Vijay S. Kumar, 2021, 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

Flight data anomaly detection and diagnosis with variable association change

Hao Huang, Weizhong Yan, Shinjae Yoo, 2021, SAC.

FLIGHT REGIME MAPPING FOR AIRCRAFT ENGINE FAULT DIAGNOSIS

C. James Li, Weizhong Yan, Kai F. Goebel, 2004 .

Computer Aided Detection for Pneumoconiosis Screening on Digital Chest Radiographs

Weizhong Yan, Pavan Annangi, Horace Xu, 2010 .