☆ 4.7 Article

How to account artificial intelligence in human factor analysis of complex systems?

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Engineering, Industrial

An advanced approach to the system safety in sociotechnical systems

Esmaeil Zarei et al.

Summary: This paper proposes a systematic approach to studying the performance shaping factors of complex sociotechnical systems. By developing a performance shaping factors taxonomy, applying interval-valued spherical fuzzy sets and the best worst method, the importance of performance can be quantified. The model's capability is tested in maintenance operations in chemical process plants.

SAFETY SCIENCE (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Modeling the factors affecting unsafe behaviors using the fuzzy best-worst method and fuzzy cognitive map

Mahdi Malakoutikhah et al.

Summary: The study aimed at modeling the factors affecting UBs using FBWM and FCM methods. Results showed that organizational, individual, and socio-economic factors play a role in UBs. Experts identified organizational safety culture, community safety culture, and individual personality traits as significant factors affecting UBs.

APPLIED SOFT COMPUTING (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Myths and misconceptions of data-driven methods: Applications to process safety analysis

He Wen et al.

Summary: With the rapid digitization of processes, data-driven methods are increasingly used in process safety analysis. However, the use of these methods is accompanied by myths and misconceptions that can lead to significant errors. This study analyzed 500 articles and found that most of the myths are related to improper data representation, lack of appropriate assumptions, and limited understanding of method limitations.

COMPUTERS & CHEMICAL ENGINEERING (2022)

添加到收藏夹

Article Engineering, Industrial

Robust data-driven human reliability analysis using credal networks

Caroline Morais et al.

Summary: This paper introduces a novel methodology for dealing with missing data using interval probabilities, shifting from point value estimates to intervals to account for uncertainty. The method has been applied to risk quantification and analysis, suggesting new decision-making strategies for risk reduction and improving communication between assessors and decision-makers.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

添加到收藏夹

Review Engineering, Chemical

A review on supervised machine learning for accident risk analysis: Challenges in Malaysia

Boon Chong Choo et al.

Summary: This paper conducts a literature review on machine learning in order to address subjectivity and bias in risk ranking decision-making. It discusses the challenges and feasible applications of machine learning in accident risk analysis in Malaysia, particularly focusing on supervised machine learning.

PROCESS SAFETY PROGRESS (2022)

添加到收藏夹

Article Engineering, Industrial

An extended HEART Dempster-Shafer evidence theory approach to assess human reliability for the gas freeing process on chemical tankers

Sukru Ilke Sezer et al.

Summary: Human reliability assessment is vital for critical shipboard operations on chemical tankers. This paper proposes a hybrid method that combines HEART and D-S evidence theory to assess human reliability during the gas freeing process. The customized task analysis within a second-generation HEART D-S method is a novel contribution to the maritime industry. The paper provides practical guidance to enhance operational safety and minimize human errors during the gas freeing process.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

添加到收藏夹

Article Chemistry, Analytical

Thermographic Fault Diagnosis of Shaft of BLDC Motor

Adam Glowacz

Summary: This article presents a thermographic fault diagnosis technique for the shaft of a BLDC motor. The technique analyzes the shivering of the thermal imaging camera and uses deep neural networks for the analysis of faulty shafts. The proposed technique achieves excellent results with 100% recognition efficiency for four classes.

SENSORS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Identifying the influential contributing factors to micro-enterprises' workplace accidents using a hybrid D-DEMATEL-IFISM method

Maryam Amiri Khorasane et al.

Summary: A new integrated approach using D-DEMATEL and IFISM techniques identified that repairing or maintaining equipment under unsafe conditions and improper use of tools are the most important contributing factors to workplace accidents in micro-enterprises. Analysis of the hierarchical structure revealed that the root causes of these accidents were the improper use of tools and repairing or maintaining equipment under unsafe conditions.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

添加到收藏夹

Article Engineering, Chemical

Human and organizational failures analysis in process industries using FBN-HFACS model: Learning from a toxic gas leakage accident

Fakhradin Ghasemi et al.

Summary: This study used a hybrid technique of Fuzzy sets theory (FST), Bayesian network (BN), and Human Factors Analysis and Classification System (HFACS) to quantitatively investigate a toxic gas leakage accident. The contributing factors were extracted, classified, and quantified using FST, BN, and HFACS. The results identified conflicts, poor safety culture, substandard equipment usage, lack of proper inspection on newly-purchased equipment, and safety violations as the most critical factors contributing to the accident.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2022)

添加到收藏夹

Article Engineering, Environmental

A dynamic human-factor risk model to analyze safety in sociotechnical systems

Esmaeil Zarei et al.

Summary: This study proposes a systematic model to analyze the variability in performance of human, organizational, and technology-oriented functions and the factors that cause it. The model integrates advanced probabilistic approaches and uses dynamic Bayesian networks to support decision-making.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2022)

添加到收藏夹

Review Computer Science, Artificial Intelligence

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Moloud Abdar et al.

Summary: Uncertainty quantification (UQ) methods are essential in reducing uncertainties in optimization and decision making processes. Bayesian approximation and ensemble learning techniques are widely used types of UQ methods.

INFORMATION FUSION (2021)

添加到收藏夹

Article Engineering, Chemical

A framework for resilience assessment in process systems using a fuzzy hybrid MCDM model

Esmaeil Zarei et al.

Summary: A fuzzy hybrid multicriteria decision-making model was developed to quantify and evaluate resilience using the F-AHP and F-VIKOR techniques. The model was tested on a gas refinery as a typical instance of a socio-technical system, demonstrating its capability to effectively evaluate resilience and design strategies to improve system safety performance. This study is the first to evaluate resilience using VIKOR and AHP in a fuzzy environment in the process industry.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Fault diagnosis of electric impact drills using thermal imaging

Adam Glowacz

Summary: Fault diagnosis based on thermal images can help save maintenance costs. The method proposed in this work extracts features from thermal images using the BCAoID method, achieving high recognition accuracy for different faults in electric impact drills. This approach can be applied for protecting rotating machinery and engines.

MEASUREMENT (2021)

添加到收藏夹

Article Engineering, Environmental

A comprehensive approach to analyze the risk of floating roof storage tanks

Mostafa Pouyakian et al.

Summary: This study presents a comprehensive approach using Fuzzy Bayesian Network to accurately analyze and reduce the risk of hazardous material release in storage tanks. By investigating managerial, organizational, human, and process factors, applying HAZOP technique, SHIPP methodology, and utilizing Bow-tie model and Bayesian network, the study effectively deals with uncertainties and evaluates risks.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)

添加到收藏夹

Article Nuclear Science & Technology

New method for dependence assessment in human reliability analysis based on linguistic hesitant fuzzy information

Ling Zhang et al.

Summary: Human reliability analysis (HRA) is a proactive approach to model and evaluate human errors, relying on expert knowledge and experience. This paper proposes a new method based on linguistic hesitant fuzzy sets and the THERP technique to manage dependencies in HRA, demonstrating its effectiveness through an empirical healthcare analysis.

NUCLEAR ENGINEERING AND TECHNOLOGY (2021)

添加到收藏夹

Article Engineering, Industrial

Dynamic occupational accidents modeling using dynamic hybrid Bayesian confirmatory factor analysis: An in-depth psychometrics study

Esmaeil Zarei et al.

Summary: This study aimed to develop a tool for identifying and modeling influencing factors on occupational accidents. The research involved literature review, expert consultation, and statistical analysis to build a comprehensive conceptual model. By using a dynamic hybrid Bayesian Network and conducting standardized testing, the effectiveness of the tool in modeling accident occurrences and making risk-based decisions was demonstrated.

SAFETY SCIENCE (2021)

添加到收藏夹

Article Medicine, General & Internal

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

Matthew J. Page et al.

SYSTEMATIC REVIEWS (2021)

添加到收藏夹

Article Engineering, Mechanical

Failure analysis of CNC machines due to human errors: An integrated IT2F-MCDM-based FMEA approach

Soumava Boral et al.

Summary: An approach based on modified FMEA and IT2FSs is proposed to identify major human errors during CNC machining operation, followed by the development of a multi-criteria decision making framework to prioritize the risks associated with each error.

ENGINEERING FAILURE ANALYSIS (2021)

添加到收藏夹

Article Engineering, Industrial

Importance of human reliability in process operation: A critical analysis

Esmaeil Zarei et al.

Summary: This study systematically examines the needs, gaps, and challenges of Human Reliability Analysis (HRA) in the chemical process industries (CPIs). By analyzing human factors in maintenance operations, emergency operations, and control room operations, the study sheds light on the strengths and shortcomings of current literature and identifies research opportunities. A comparison with nuclear power plants (NPPs) is made to better understand the current stage of research and research challenges and opportunities.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

添加到收藏夹

Article Engineering, Aerospace

Machine Learning and Natural Language Processing for Prediction of Human Factors in Aviation Incident Reports

Tomas Madeira et al.

Summary: This study proposed a methodology to identify and classify human factor categories from aviation incident reports using text data, text pre-processing, and NLP techniques, while considering semi-supervised and supervised modeling techniques. The best predictive models demonstrated favorable performance based on the Micro F1 score, but it is recommended to use larger data sets in future research.

AEROSPACE (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

A novel Fuzzy Bayesian Network approach for safety analysis of process systems; An application of HFACS and SHIPP methodology

Akbar Rostamabadi et al.

JOURNAL OF CLEANER PRODUCTION (2020)

添加到收藏夹

Article Engineering, Industrial

A novel extension of DEMATEL approach for probabilistic safety analysis in process systems

Mohammad Yazdi et al.

SAFETY SCIENCE (2020)

添加到收藏夹

Review Engineering, Industrial

Applications of machine learning methods for engineering risk assessment - A review

Jeevith Hegde et al.

SAFETY SCIENCE (2020)

添加到收藏夹

Article Engineering, Environmental

Human reliability assessment for complex physical operations in harsh operating conditions

Nima Golestani et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2020)

添加到收藏夹

Article Engineering, Marine

Determining the most influential human factors in maritime accidents: A data-driven approach

Andrea Coraddu et al.

OCEAN ENGINEERING (2020)

添加到收藏夹

Article Engineering, Industrial

Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network

Shiqi Fan et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

添加到收藏夹

Article Health Care Sciences & Services

Determining the optimal human reliability analysis (HRA) method in healthcare systems using Fuzzy ANP and Fuzzy TOPSIS

Asghar Abbaspour et al.

JOURNAL OF PATIENT SAFETY AND RISK MANAGEMENT (2020)

添加到收藏夹

Article Biodiversity Conservation

A structured hazard identification method of human error for shale gas fracturing operation

Jinqiu Hu et al.

HUMAN AND ECOLOGICAL RISK ASSESSMENT (2019)

添加到收藏夹

Article Engineering, Marine

A dynamic human reliability model for marine and offshore operations in harsh environments

Mohammad Mandi Abaei et al.

OCEAN ENGINEERING (2019)

添加到收藏夹

Review Engineering, Environmental

A bibliometric review of process safety and risk analysis

Md Tanjin Amin et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2019)

添加到收藏夹

Article Engineering, Chemical

A hybrid model for human factor analysis in process accidents: FBN-HFACS

Esmaeil Zarei et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An extended HFACS based risk analysis approach for human error accident with interval type-2 fuzzy sets and prospect theory

Xiaoqing Chen et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2019)

添加到收藏夹

Article Engineering, Multidisciplinary

Acquiring and Sharing Tacit Knowledge in Failure Diagnosis Analysis Using Intuitionistic and Pythagorean Assessments

Mohammad Yazdi

JOURNAL OF FAILURE ANALYSIS AND PREVENTION (2019)

添加到收藏夹

Review Computer Science, Artificial Intelligence

The need for uncertainty quantification in machine-assisted medical decision making

Edmon Begoli et al.

NATURE MACHINE INTELLIGENCE (2019)

添加到收藏夹

Article Engineering, Industrial

A modified HEART method with FANP for human error assessment in high-speed railway dispatching tasks

Weizhong Wang et al.

INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS (2018)

添加到收藏夹

Article Engineering, Industrial

Human error assessment during maintenance operations of marine systems - What are the effective environmental factors?

Rabiul Islam et al.

SAFETY SCIENCE (2018)

添加到收藏夹

Proceedings Paper Engineering, Environmental

Towards Obviating Human Errors in Real-time through Eye Tracking

Mohd Umair Iqbal et al.

28TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (2018)

添加到收藏夹

Article Public, Environmental & Occupational Health

Human Error Probability Assessment During Maintenance Activities of Marine Systems

Rabiul Islam et al.

SAFETY AND HEALTH AT WORK (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Fuzzy system based human behavior recognition by combining behavior prediction and recognition

Ganbayar Batchuluun et al.

EXPERT SYSTEMS WITH APPLICATIONS (2017)

添加到收藏夹

Article Engineering, Chemical

Development of a human reliability assessment technique for the maintenance procedures of marine and offshore operations

Rabiul Islam et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Eye gaze movement studies of control room operators: A novel approach to improve process safety

Chandresh Sharma et al.

COMPUTERS & CHEMICAL ENGINEERING (2016)

添加到收藏夹

Review Engineering, Industrial

Expert elicitation and Bayesian Network modeling for shipping accidents: A literature review

Guizhen Zhang et al.

SAFETY SCIENCE (2016)

添加到收藏夹

Article Engineering, Environmental

An integrated method for human error probability assessment during the maintenance of offshore facilities

Rouzbeh Abbassi et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2015)

添加到收藏夹

Article Engineering, Chemical

Safety challenges in harsh environments: Lessons learned

Faisal Khan et al.

PROCESS SAFETY PROGRESS (2015)

添加到收藏夹

Proceedings Paper Computer Science, Interdisciplinary Applications

Dynamic Data Driven Approach for Modeling Human Error

Wan-Lin Hu et al.

INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE (2015)

添加到收藏夹

Article Environmental Sciences

FUZZY RISK ANALYSIS OF A MODERN Γ-RAY INDUSTRIAL IRRADIATOR

F. Castiglia et al.

HEALTH PHYSICS (2011)

添加到收藏夹

Article Engineering, Industrial

Fuzzy logic-based approach for identifying the risk importance of human error

Li Peng-cheng et al.

SAFETY SCIENCE (2010)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.