Piecewise forecasting of nonlinear time series with model tree dynamic Bayesian networks
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22982
Abstract: When modelling multivariate continuous time series, a common issue is to find that the original processes that generated the data are nonlinear or that they drift away from the original distribution as the system evolves… read more here.
Keywords: model tree; time; dynamic bayesian; time series ... See more keywords
Posture based health monitoring and unusual behavior recognition system for elderly using dynamic Bayesian network
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2010-9
Abstract: Video surveillance cameras play a vital role in society. Elderly monitoring is one of the major applications of surveillance camera. It is observed that most of the elderly people live alone at homes. They desire… read more here.
Keywords: system; bayesian network; dynamic bayesian; health ... See more keywords
Fault detection and pathway analysis using a dynamic Bayesian network
Sign Up to like & getrecommendations! Published in 2019 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2018.10.024
Abstract: Abstract A dynamic Bayesian network (DBN) based fault detection, root cause diagnosis, and fault propagation pathway identification scheme is proposed. The proposed methodology generates evidence from monitored process data and uses the information to update… read more here.
Keywords: bayesian network; methodology; dynamic bayesian; fault detection ... See more keywords
Dynamic Bayesian networks for temporal prediction of chemical radioisotope levels in nuclear power plant reactors
Sign Up to like & getrecommendations! Published in 2021 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2021.104327
Abstract: Abstract Radiation dose in nuclear power plant reactors is known to be dominated by the presence of radioisotopes in the primary loop of the reactor. In order to strictly control it in normal operation (e.g.,… read more here.
Keywords: nuclear power; power; power plant; plant reactors ... See more keywords
Analysis of false data injection attacks in power systems: A dynamic Bayesian game-theoretic approach.
Sign Up to like & getrecommendations! Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.01.011
Abstract: False data injection (FDI) attack is a malicious kind of cyber attack that targets state estimators of power systems. In this paper, a dynamic Bayesian game-theoretic approach is proposed to analyze FDI attacks with incomplete… read more here.
Keywords: dynamic bayesian; theoretic approach; game theoretic; approach ... See more keywords
Reliability analysis based on dynamic Bayesian networks: A case study of an unmanned surface vessel
Sign Up to like & getrecommendations! Published in 2021 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2021.109970
Abstract: Abstract Unmanned surface vessels (USVs) have been widely used in various activities to date. Reliability is particularly significant for USVs because of the increasing complexity of USV tasks and their characteristic that cannot be repaired… read more here.
Keywords: based dynamic; dynamic bayesian; analysis; bayesian networks ... See more keywords
A novel fuzzy dynamic Bayesian network for dynamic risk assessment and uncertainty propagation quantification in uncertainty environment
Sign Up to like & getrecommendations! Published in 2021 at "Safety Science"
DOI: 10.1016/j.ssci.2021.105285
Abstract: Abstract Risk assessment (RA) plays a vital role in safety engineering. The conventional RA approaches have limited capabilities in handling time dependence and data uncertainty. Although dynamic Bayesian network (DBN) is robust in inference under… read more here.
Keywords: bayesian network; risk assessment; methodology; uncertainty ... See more keywords
Prediction of vehicle-cargo matching probability based on dynamic Bayesian network
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Production Research"
DOI: 10.1080/00207543.2020.1774677
Abstract: ABSTRACT Matching status (failure or success) between logistics vehicles and cargoes during transport operation influences the decisions of the owners of vehicles and cargoes on scheduling. It is therefore essential to predict the specific matching… read more here.
Keywords: vehicle; vcm probability; dynamic bayesian; bayesian network ... See more keywords
A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2016.2574875
Abstract: Transient fault (TF) and intermittent fault (IF) of complex electronic systems are difficult to diagnose. As the performance of electronic products degrades over time, the results of fault diagnosis could be different at different times… read more here.
Keywords: methodology; fault; dynamic bayesian; fault diagnosis ... See more keywords
Tractography-Based Score for Learning Effective Connectivity From Multimodal Imaging Data Using Dynamic Bayesian Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2017.2738035
Abstract: Objective: Effective connectivity (EC) is the methodology for determining functional-integration among the functionally active segregated regions of the brain. By definition [1] EC is “the causal influence exerted by one neuronal group on another” which… read more here.
Keywords: dynamic bayesian; effective connectivity; connectivity; bayesian networks ... See more keywords
Dynamic Bayesian Network-Based Lithium-Ion Battery Health Prognosis for Electric Vehicles
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2020.3034855
Abstract: Battery prognostics and health management (PHM) is essential for lithium-ion batteries in electric vehicles. In the battery PHM, accurate estimation of the battery state-of-health (SOH) and prediction of the remaining useful life (RUL) are crucial… read more here.
Keywords: dynamic bayesian; electric vehicles; battery; health ... See more keywords