A novel decision-making approach for risk assessment of converter steelmaking process based on fuzzy DEMATEL method DOI Creative Commons
Fei Gao, Ding Zhou

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 115, P. 222 - 237

Published: Dec. 18, 2024

Language: Английский

Causal Analysis Based on Systems Theory (CAST) in Complex Systems: Application to the Delta Air Lines Flight 191 Aviation Accident DOI
Esmaeil Zarei, Brittany Glish, Riccardo Patriarca

et al.

Studies in systems, decision and control, Journal Year: 2024, Volume and Issue: unknown, P. 267 - 316

Published: Jan. 1, 2024

Language: Английский

Citations

1
Artificial Intelligence Enriching Contributions from Multiple Perspectives in Ancient Text Analysis DOI

Antonino Carpitella,

Silvia Carpitella

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 167 - 175

Published: Jan. 1, 2024

Language: Английский

Citations

1
Investigating the Aracoma Alma Mine Fire and SOMA Mine Disaster with the Causal Analysis based on Systems Theory: A Comparative study DOI Creative Commons

Sultan Elcin Eroglu,

Şebnem Düzgün

Journal of industrial safety., Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

1
Accident Investigation Processes and Techniques in Sociotechnical Systems DOI

David S. Ryan,

Esmaeil Zarei

Studies in systems, decision and control, Journal Year: 2024, Volume and Issue: unknown, P. 21 - 45

Published: Jan. 1, 2024

Language: Английский

Citations

0
Sequentially Timed Events Plotting (STEP) Method: Investigating the Hydrocarbon Loading Station Explosion DOI
Fakhradin Ghasemi, Esmaeil Zarei, Mohammad Yazdi

et al.

Studies in systems, decision and control, Journal Year: 2024, Volume and Issue: unknown, P. 73 - 91

Published: Jan. 1, 2024

Language: Английский

Citations

0
Unraveling Complexity: FRAM Applications in Sociotechnical Systems Safety Analysis DOI

Fakhredin Ghasemi,

Esmaeil Zarei, Vahid Salehi

et al.

Studies in systems, decision and control, Journal Year: 2024, Volume and Issue: unknown, P. 213 - 236

Published: Jan. 1, 2024

Language: Английский

Citations

0
Quantitative Risk Assessment for Autonomous Vehicles: Integrating Functional Resonance Analysis Method and Bayesian Network DOI
Chengwen Deng, Yufeng Li, Qi Liu

et al.

Quality and Reliability Engineering International, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 24, 2024

ABSTRACT In autonomous vehicles (AVs), intricate functional‐level couplings exist among the components. Accidents can occur even when all functions are operating normally, as subtle performance variabilities in these aggregate through couplings, leading to functional resonance. The aim of this study is identify, analyze and quantitatively assess safety issues caused by complex interactions AVs propose appropriate risk management strategies improve vehicle safety. Commonly used modern methods assessment, such system‐theoretical process analysis accident mapping, struggle capture resonance lack quantitative analysis. To end, paper proposes a assessment method that integrates (FRAM) with Bayesian network (BN) reveal quantify risks within AVs. Initially, FRAM model constructed characterize function system, which subsequently aggregated into chains identify potential hazards. Then, develop BN for system risk. A case an automatic emergency braking (AEB) on open‐source conducted verify its effectiveness. results demonstrate proposed approach not only identifies but also effectively quantifies AEB system.

Language: Английский

Citations

0
Multi-flow integration process safety management at steelmaking production site through wireless sensor network and AI-enabled data prediction DOI
Yudong Shi, Wei Zhang, Tingsheng Zhao

et al.

Ironmaking & Steelmaking Processes Products and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

Industrial production process includes complex and high-risk operational procedures. Maintaining safety stability is essential to prevent casualties, equipment damage, asset loss. Traditional management (PSM) on site heavily relies manual inspections video surveillance which inevitably overlook some hidden risks. Therefore, this paper proposes a novel multi-flow integration PSM framework overcome the trouble. Firstly, risk factors of material flow (MF) energy (EF) are systematically analyzed organized based 4M1E method. The wireless sensor network (WSN) established by deploying multiple sensors facilitate data (DF), including perception, collection, transmission aggregation different variables. Additionally, analysis model extract information (IF) obtained comparing prediction performance deep learning (DL) models. Finally, response strategies against potential dangers formulated control (CF) across layers achieved relying circulation directives, execution measures feedback. effectiveness verified in steel continuous casting scenario through acquisition DF, extraction IF loop CF. Results indicates that Bi-LSTM can achieve most outstanding with relative root mean square error 4.2428%, 0.0551 R-square 0.9816. This study aid advancing digitization intelligence providing practical research perspective application mode.

Language: Английский

Citations

0
A novel decision-making approach for risk assessment of converter steelmaking process based on fuzzy DEMATEL method DOI Creative Commons
Fei Gao, Ding Zhou

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 115, P. 222 - 237

Published: Dec. 18, 2024

Language: Английский

Citations

0