The utility of Bayesian data reconciliation for separations
Sign Up to like & getrecommendations! Published in 2021 at "Minerals Engineering"
DOI: 10.1016/j.mineng.2021.106837
Abstract: Abstract Data reconciliation methods for separation processes typically rely on classical statistical approaches to generate estimates of true mass flow rates from measurements. Knowledge regarding the uncertainty of these estimates has value in decision making,… read more here.
Keywords: separation processes; reconciliation; utility bayesian; bayesian data ... See more keywords
Application of data reconciliation for fault detection and isolation of in-core self-powered neutron detectors using iterative principal component test
Sign Up to like & getrecommendations! Published in 2017 at "Progress in Nuclear Energy"
DOI: 10.1016/j.pnucene.2017.04.017
Abstract: Abstract In-core neutron detectors are used in large nuclear reactors for the purpose of acquiring knowledge about the spatial flux distribution, which helps in control, monitoring and protection of the reactors. Random errors and faults,… read more here.
Keywords: data reconciliation; principal component; neutron detectors; application data ... See more keywords
Sensor Network Robustness Using Model-Based Data Reconciliation for Continuous Tablet Manufacturing.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of pharmaceutical sciences"
DOI: 10.1016/j.xphs.2019.03.011
Abstract: Advances in continuous manufacturing in the pharmaceutical industry necessitate reliable process monitoring systems that are capable of handling measurement errors inherent in all sensor technologies and detecting measurement outliers to ensure operational reliability. The purpose… read more here.
Keywords: data reconciliation; process; sensor network; model based ... See more keywords
Nuclear Regulatory Acceptance of Certified Process Data Reconciliation (CPDR)
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Nuclear Engineering and Radiation Science"
DOI: 10.1115/1.4051619
Abstract: The utility industry is currently undergoing a substantial change from an analogue to a digital infrastructure. Not only plant performance and utility profits are dependent on accurate plant operational parameters but, more importantly, set safety… read more here.
Keywords: data reconciliation; process data; reconciliation cpdr; process ... See more keywords
Data Reconciliation Focusing on the Utility System of a Total Site
Sign Up to like & getrecommendations! Published in 2018 at "Chemical engineering transactions"
DOI: 10.3303/cet1870332
Abstract: In this paper, the modelling of data reconciliation in Total Site is revisited. Only the equipment in the utility systems is considered during data reconciliation. The obtained result is then further used as inputs for… read more here.
Keywords: data reconciliation; reconciliation focusing; reconciliation; utility ... See more keywords
Estimation of Feeding Composition of Industrial Process Based on Data Reconciliation
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23040473
Abstract: For an industrial process, the estimation of feeding composition is important for analyzing production status and making control decisions. However, random errors or even gross ones inevitably contaminate the actual measurements. Feeding composition is conventionally… read more here.
Keywords: feeding composition; industrial process; estimation; data reconciliation ... See more keywords
Data-reconciliation based fault-tolerant model predictive control for a biomass boiler
Sign Up to like & getrecommendations! Published in 2017 at "Energies"
DOI: 10.3390/en10020194
Abstract: This paper presents a novel, effective method to handle critical sensor faults affecting a control system devised to operate a biomass boiler. In particular, the proposed method consists of integrating a data reconciliation algorithm in… read more here.
Keywords: data reconciliation; control; biomass boiler;
A PDE-Based Data Reconciliation Approach for Systems with Variations of Parameters
Sign Up to like & getrecommendations! Published in 2019 at "Engineering Journal"
DOI: 10.4186/ej.2019.23.4.157
Abstract: Data reconciliation is a mathematical approach that improves the quality of measurements by calculating the reconciled data that satisfy the process constraints. The conventional data reconciliation approach relies on the process model that contains the… read more here.
Keywords: data reconciliation; reconciliation approach; reconciliation; pde based ... See more keywords