Browsing by Subject "Bayesian networks"
Now showing items 1-7 of 7
-
A Bayesian approach for model identification of LPV systems with uncertain scheduling variables
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a Gaussian Process (GP) based Bayesian method that takes into account the effect of additive noise on the scheduling variables for identification of linear parameter-varying (LPV) models in input-output ... -
Bayesian network based heuristic for energy aware EEG signal classification
( SpringerLink , 2013 , Conference Paper)A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ... -
Interestingness filtering engine: Mining Bayesian networks for interesting patterns
( Elsevier Ltd , 2009 , Article)In this paper, we present a new measure of interestingness to discover interesting patterns based on the user’s background knowledge, represented by a Bayesian network. The new measure (sensitivity measure) captures the ... -
Multiple-model based sensor fault diagnosis using hybrid kalman filter approach for nonlinear gas turbine engines
( 2013 1st American Control Conference, ACC 2013 , 2013 , Conference Paper)In this paper, an efficient sensor fault detection and isolation (FDI) strategy is proposed based on multiple-model (MM) approach. The scheme is composed of hybrid kalman filters (HKF) by integrating a nonlinear gas turbine ... -
Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties
( Academic Press , 2016 , Article)In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the multiple model-based (MM) approach is proposed that remains robust with respect to both time-varying parameter uncertainties and ... -
Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid Kalman filters (MHKFs), which represents ... -
Sewer Inspection Prioritization Using a Defect-Based Bayesian Belief Network Model
( American Society of Civil Engineers (ASCE) , 2016 , Conference Paper)In order to successfully implement an asset management program, an accurate and reliable deterioration model for assets should be available. Deterioration models are considered as the basis for predicting and prioritizing ...