Correlation analysis of respiratory signals by using parallel coordinate plots

Saatçı, Esra

doi:10.1016/j.cmpb.2017.10.003

Cited by 4 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Visual dynamic risk assessment method is an instrument that can qualitatively analyze the correlation between highdimensional variables. Saatci [22] used Parallel Coordinates to explore the correlation between respiratory signals and airflow, relative temperature, relative humidity, and other factors and achieved satisfactory results. Azhar and Rissanen [23] evaluated an application of Parallel Coordinates for interactive filtering of alarm data by comparing its user performance against typical alarm lists.…”

Section: Complexitymentioning

confidence: 99%

Dynamic Early Warning Method for Major Hazard Installation Systems in Chemical Industrial Park

et al. 2019

View full text Add to dashboard Cite

The production and storage of major hazard installations (MHIs) bring potential risks to chemical industrial park (CIP). In the production system of MHIs, its dangerous degree is mainly determined by key parameters, and abnormal key parameters often lead to accidents. To predict the real-time risk values of MHIs and improve accident prevention ability of CIP, we need a method that can combine dynamic prediction and assessment. Quantitative risk assessment (QRA) is not capable of modelling risk variations during the operation of a process. Therefore, this paper adopts the data-driven approach. Inspired by visual qualitative analysis and quantitative analysis, a dynamic early warning method is proposed for MHIs. We can get the future trend of these key parameters by using strongly correlation variables to predict key parameters. Fuzzy evaluation analysis is performed on the risk levels of key parameters, and the dynamic evaluation index of these MHIs is obtained. This method can be applied to the dynamic evaluation of MHIs system in CIP. It can contribute to the safety of CIP in some aspects.

show abstract

Section: Complexitymentioning

confidence: 99%