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Application of natural language processing in HAZOP reports · Study

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ArticleApplication of natural language processing in HAZOP reports

Xiayuan Feng2021

Article2021

Application of natural language processing in HAZOP reports

Xiayuan Feng · Yiyang Dai · Xu Ji · Yagu Dang

70 citations·0/0 files stored·Process Safety and Environmental Protection

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Risk and Safety Analysis Topic Modeling Text and Document Classification Technologies

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References

2020LEGAL-BERT: The Muppets straight out of Law School 2017Process hazard analysis, hazard identification and scenario definition: Are the conventional tools sufficient, or should and can we do much better?2021Identifying causality and contributory factors of pipeline incidents by employing natural language processing and text mining techniques

Cited by

2022A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process 2023Operational risk analysis of a containerized lithium-ion battery energy storage system based on STPA and fuzzy evaluation 2023Risk identification and assessment methods of offshore platform equipment and operations 2023Textual data transformations using natural language processing for risk assessment 2023Application of natural language processing and machine learning in prediction of deviations in the HAZOP study worksheet: A comparison of classifiers 2024Hazard analysis in the era of AI: Assessing the usefulness of ChatGPT4 in STPA hazard analysis 2023A machine learning and data analytics approach for predicting evacuation and identifying contributing factors during hazardous materials incidents on railways 2022Intelligent HAZOP analysis method based on data mining

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Details

Year2021

Typearticle

Published2021-09-08

VenueProcess Safety and Environmental Protection

ISSN-L0263-8762

Languageen

Citations70

Files0 public / 0

ShelfRisk and Safety Analysis

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doi10.1016/j.psep.2021.09.001

openalex_workW3196359847

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