A Data-Driven Causality Analysis Tool for Fault Diagnosis in Industrial Processes
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.548
Abstract: Abstract Data-driven causality analysis is an important step towards fault diagnosis in complex industrial processes. Although many causality analysis tools were developed in different domains, only a few of them are applied in the industry.… read more here.
Keywords: fault diagnosis; tool; causality analysis; causality ... See more keywords
Feature based causality analysis and its applications in soft sensor modeling
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.111
Abstract: Abstract In industrial processes, causality analysis plays an important role in fault detection and topology building. Aiming to attenuate the influence of common correlation and noise, a feature based causality analysis method is proposed. By… read more here.
Keywords: feature based; feature; causality analysis; causal factors ... See more keywords
Granger Causality Analysis of Chignolin Folding
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.1c00945
Abstract: Constantly advancing computer simulations of biomolecules provide huge amounts of data that are difficult to interpret. In particular, obtaining insights into functional aspects of macromolecular dynamics, often related to cascades of transient events, calls for… read more here.
Keywords: causality analysis; analysis; chignolin folding; granger causality ... See more keywords
Application of causality analysis on nuclear reactor systems.
Sign Up to like & getrecommendations! Published in 2019 at "Chaos"
DOI: 10.1063/1.5083905
Abstract: Causality analysis is a substantial tool for identifying cause-and-effect links between different components of a system and has been extensively used in various areas of science such as neuroscience, climatology, and econometrics. This analysis is… read more here.
Keywords: analysis nuclear; analysis; causality analysis; nuclear reactor ... See more keywords
The extended Granger causality analysis for Hodgkin-Huxley neuronal models.
Sign Up to like & getrecommendations! Published in 2020 at "Chaos"
DOI: 10.1063/5.0006349
Abstract: How to extract directions of information flow in dynamical systems based on empirical data remains a key challenge. The Granger causality (GC) analysis has been identified as a powerful method to achieve this capability. However,… read more here.
Keywords: granger causality; analysis; connectivity; causality analysis ... See more keywords
Phase-based causality analysis with partial mutual information from mixed embedding.
Sign Up to like & getrecommendations! Published in 2022 at "Chaos"
DOI: 10.1063/5.0087910
Abstract: Instantaneous phases extracted from multivariate time series can retain information about the relationships between the underlying mechanisms that generate the series. Although phases have been widely used in the study of nondirectional coupling and connectivity,… read more here.
Keywords: information; causality; causality analysis; phase based ... See more keywords
A scoping review of the clinical utility of adverse drug reaction causality analysis tools for use in the hospital setting
Sign Up to like & getrecommendations! Published in 2024 at "Expert Review of Clinical Pharmacology"
DOI: 10.1080/17512433.2024.2429677
Abstract: ABSTRACT Introduction Identification and monitoring of adverse drug reactions (ADRs) and interventions to reduce ADRs are essential for patient safety in hospitals. Causality analysis (CA) is an approach that helps to determine a causal link… read more here.
Keywords: adverse drug; causality analysis; review clinical; clinical utility ... See more keywords
Granger causality analysis for calcium transients in neuronal networks, challenges and improvements
Sign Up to like & getrecommendations! Published in 2023 at "eLife"
DOI: 10.1101/2022.06.27.497721
Abstract: One challenge in neuroscience is to understand how information flows between neurons in vivo to trigger specific behaviors. Granger causality (GC) has been proposed as a simple and effective measure for identifying dynamical interactions. At… read more here.
Keywords: calcium; analysis calcium; causality analysis; analysis ... See more keywords
Modified local Granger causality analysis based on Peter‐Clark algorithm for multivariate time series prediction on IoT data
Sign Up to like & getrecommendations! Published in 2024 at "Computational Intelligence"
DOI: 10.1111/coin.12694
Abstract: Climate data collected through Internet of Things (IoT) devices often contain high‐dimensional, nonlinear, and auto‐correlated characteristics, and general causality analysis methods obtain quantitative causality analysis results between variables based on conditional independence tests or Granger… read more here.
Keywords: analysis; causality analysis; granger causality; causality ... See more keywords
Assessing Development Strategies of Jiangsu and Taiwan: A Geweke Causality Analysis
Sign Up to like & getrecommendations! Published in 2017 at "Review of Pacific Basin Financial Markets and Policies"
DOI: 10.1142/s0219091517500242
Abstract: Among the economies in the Eastern coastal area of mainland China, Jiangsu has stood out in terms of its rapid and sustained economic growth since 2000. The province has done exceptionally well in terms of… read more here.
Keywords: geweke causality; jiangsu taiwan; causality analysis; assessing development ... See more keywords
Description length guided nonlinear unified Granger causality analysis
Sign Up to like & getrecommendations! Published in 2023 at "Network Neuroscience"
DOI: 10.1162/netn_a_00316
Abstract: Most Granger causality analysis (GCA) methods still remain a two-stage scheme guided by different mathematical theories, both can actually be viewed as the same generalized model selection issues. Adhering to Occam’s razor, we present a… read more here.
Keywords: granger causality; analysis; description length; causality analysis ... See more keywords