Myths and misconceptions of data-driven methods: Applications to process safety analysis
- 20 December 2021
- journal article
- research article
- Published by Elsevier BV in Computers & Chemical Engineering
- Vol. 158, 107639
- https://doi.org/10.1016/j.compchemeng.2021.107639
Abstract
No abstract availableKeywords
Funding Information
- Natural Sciences and Engineering Research Council of Canada
- Canada Research Chairs
- Canada Excellence Research Chairs
This publication has 41 references indexed in Scilit:
- Overview on Bayesian networks applications for dependability, risk analysis and maintenance areasEngineering Applications of Artificial Intelligence, 2012
- Two centuries of process safety at DuPontProcess Safety Progress, 2009
- There Seems To Be Uncertainty about the Use of Significant Figures in Reporting Uncertainties of ResultsJournal of Chemical Education, 1998
- Support-vector networksMachine Learning, 1995
- Time series analysis of coal mine accident experienceJournal of Safety Research, 1995
- A Neural Network for Transportation Safety ModelingExpert Systems with Applications, 1995
- Safety reviews and their timingJournal of Loss Prevention in the Process Industries, 1994
- Multivariate statistical monitoring of process operating performanceThe Canadian Journal of Chemical Engineering, 1991
- A re-examination of the accident proneness concept.Journal of Applied Psychology, 1949
- VII. Note on regression and inheritance in the case of two parentsProceedings of the Royal Society of London, 1895