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Full-Text Articles in Engineering
Distribution Free Prediction Interval For Uncertainty Quantification In Remaining Useful Life Prediction, Huimin Chen
Distribution Free Prediction Interval For Uncertainty Quantification In Remaining Useful Life Prediction, Huimin Chen
Huimin Chen
Remaining useful life (RUL) prediction is an important component for system health monitoring and prognosis. Ideally, one expects the prediction algorithm to provide the complete distribution of the RUL prediction over time taking various uncertainties into account. However, the dynamic model being used to characterize state estimation and future loading uncertainties is often simplified through various approximations, leading to non-credible predicted distribution. Nevertheless, certain algorithm may only provide a point estimate of the RUL, making it difficult to quantify the uncertainty of the prediction. In this paper, we focus on interval prediction with high probability that guarantees finite sample validity …
On Optimizing Decision Fusion With A Budget Constraint, Huimin Chen, Vesseline P. Jilkov, X. Rong Li
On Optimizing Decision Fusion With A Budget Constraint, Huimin Chen, Vesseline P. Jilkov, X. Rong Li
Huimin Chen
We consider the problem of fusing local decision outputs into a global decision with a budget constraint. Each local decision maker is assumed to provide finite output regarding two competing hypotheses. A fusion rule is characterized by probabilistic mixing of decision trees corresponding to deterministic policies to reach a global decision. For practical problems where maximizing detection probability is of primary concern, we propose to optimize the fusion rule under the budget constraint via dynamic programming. The proposed algorithm can construct the complete efficient front of the detection probability vs. cost for practical decision fusion problems. Illustrative examples regarding the …
Orbital Evasive Target Tracking And Sensor Management, Huimin Chen, Genshe Chen, Dan Shen, Erik P. Blasch, Khanh Pham
Orbital Evasive Target Tracking And Sensor Management, Huimin Chen, Genshe Chen, Dan Shen, Erik P. Blasch, Khanh Pham
Huimin Chen
In this chapter, we consider the sensor management problem for tracking space targets where the targets may apply evasive maneuvering strategy to avoid being tracked by the space borne observers. We first study the case of single target tracking by a single observer and formulate the pursuit–evasion game with complete information. Then we extend the tracking problem to a set of collaborative observers and each observer has to decide when to sense which target in order to achieve the desired estimation error covariance. A popularly used criterion for sensor management is to maximize the total information gain in the observer-to-target …
Adaptive Cubature Kalman Filter For Nonlinear State And Parameter Estimation, Huimin Chen
Adaptive Cubature Kalman Filter For Nonlinear State And Parameter Estimation, Huimin Chen
Huimin Chen
In many engineering applications, both state and parameter models are nonlinear. We consider a recursive algorithm for joint state and parameter estimation where the gradient of the prediction error is used to tune the approximate nonlinear filter adaptively. We apply cubature Kalman filter to derive the recursive state and parameter update steps and discuss the computational complexity of the overall algorithm compared with other existing nonlinear filtering methods. Finally, we demonstrate the effectiveness of the proposed filtering method on two practical nonlinear estimation problems, namely, battery state-of-charge estimation and vehicle state estimation under various road conditions and steering inputs.
A Multiple Model Prediction Algorithm For Cnc Machinewear Phm, Huimin Chen
A Multiple Model Prediction Algorithm For Cnc Machinewear Phm, Huimin Chen
Huimin Chen
We present a multiple model approach for wear depth estimation of milling machine cutters using dynamometer, accelerometer, and acoustic emission data. The feature selection, initial wear estimation and multiple model fusion components of the proposed algorithm are explained in details and compared with several alternative methods using the training data. The performance evaluation procedure and the resulting scores from the submitted predictions are also discussed.
Distributed Active Learning With Application To Battery Health Management, Huimin Chen, X. Rong Li
Distributed Active Learning With Application To Battery Health Management, Huimin Chen, X. Rong Li
Huimin Chen
No abstract provided.
New Aspects From Of Haplotype Inference From Snp Fragments, Huimin Chen
New Aspects From Of Haplotype Inference From Snp Fragments, Huimin Chen
Huimin Chen
No abstract provided.
Joint Feature Selection And Classification For Taxonomic Problems Within Fish Species Complexes, Yixin Chen, Shuqing Huang, Huimin Chen, Henry L. Bart
Joint Feature Selection And Classification For Taxonomic Problems Within Fish Species Complexes, Yixin Chen, Shuqing Huang, Huimin Chen, Henry L. Bart
Huimin Chen
It is estimated that 90% of the world’s species are yet to be discovered and described. The main reason for the slow pace of new species description is that the science of taxonomy can be very laborious. To formally describe a new species, taxonomists have to manually gather and analyze data from large numbers of specimens and identify the smallest subset of external body characters that uniquely diagnose the new species as distinct from all its known relatives. In this paper, we present an automated feature selection and classification scheme using logistic regression with controlled false discovery rate to address …
Multi-Agent Modeling And Analysis For Space Situation Awareness, Genshe Chen, Erik P. Blasch, Huimin Chen, Khanh Pham
Multi-Agent Modeling And Analysis For Space Situation Awareness, Genshe Chen, Erik P. Blasch, Huimin Chen, Khanh Pham
Huimin Chen
No abstract provided.
Covariance Reconstruction For Track Fusion With Legacy Track Sources, Yaakov Bar-Shalom, Huimin Chen
Covariance Reconstruction For Track Fusion With Legacy Track Sources, Yaakov Bar-Shalom, Huimin Chen
Huimin Chen
No abstract provided.
Tracking Of Spawning Targets With Multiple Finite Resolution Sensors, Huimin Chen, T K. Kirubarajan, Yaakov Bar-Shalom
Tracking Of Spawning Targets With Multiple Finite Resolution Sensors, Huimin Chen, T K. Kirubarajan, Yaakov Bar-Shalom
Huimin Chen
No abstract provided.
Greedy Methods In Plume Detection, Localization And Tracking, Huimin Chen
Greedy Methods In Plume Detection, Localization And Tracking, Huimin Chen
Huimin Chen
No abstract provided.
Track-To-Track Association Using Attributes, Yaakov Bar-Shalom, Huimin Chen
Track-To-Track Association Using Attributes, Yaakov Bar-Shalom, Huimin Chen
Huimin Chen
No abstract provided.
Multisensor Track-To-Track Association For Tracks With Dependent Errors, Yaakov Bar-Shalom, Huimin Chen
Multisensor Track-To-Track Association For Tracks With Dependent Errors, Yaakov Bar-Shalom, Huimin Chen
Huimin Chen
No abstract provided.
On Joint Track Initiation And Parameter Estimation Under Measurement Origin Uncertainty, Huimin Chen, X. Rong Li, Yaakov Bar-Shalom
On Joint Track Initiation And Parameter Estimation Under Measurement Origin Uncertainty, Huimin Chen, X. Rong Li, Yaakov Bar-Shalom
Huimin Chen
No abstract provided.
Mdl Approach For Multiple Low Observable Track Initiation, Huimin Chen, T K. Kirubarajan, Yaakov Bar-Shalom, K R. Pattipati
Mdl Approach For Multiple Low Observable Track Initiation, Huimin Chen, T K. Kirubarajan, Yaakov Bar-Shalom, K R. Pattipati
Huimin Chen
No abstract provided.
Performance Limits Of Track-To-Track Fusion Vs. Centralized Estimation: Theory And Application, Huimin Chen, T K. Kirubarajan, Yaakov Bar-Shalom
Performance Limits Of Track-To-Track Fusion Vs. Centralized Estimation: Theory And Application, Huimin Chen, T K. Kirubarajan, Yaakov Bar-Shalom
Huimin Chen
No abstract provided.
Intelligent Flow Control Under Game Theoretic Framework, Huimin Chen, Yanda Li
Intelligent Flow Control Under Game Theoretic Framework, Huimin Chen, Yanda Li
Huimin Chen
No abstract provided.
Using Game Theoretic Approaches For Resource Allocation In Information Networks, Huimin Chen, Xin Lu, Pu Wang, Yanda Li
Using Game Theoretic Approaches For Resource Allocation In Information Networks, Huimin Chen, Xin Lu, Pu Wang, Yanda Li
Huimin Chen
No abstract provided.
A Connection Admission Control Scheme Based On Game Theoretic Model In Atm Networks, Huimin Chen, Pu Wang, Yanda Li
A Connection Admission Control Scheme Based On Game Theoretic Model In Atm Networks, Huimin Chen, Pu Wang, Yanda Li
Huimin Chen
No abstract provided.