4.6 Article

Insights into the Application of Machine Learning in Industrial Risk Assessment: A Bibliometric Mapping Analysis

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Multiple arching in cohesion-friction soils: Insights from deformation behavior and failure mechanisms using FEM-SPH approach

Hao Xiong et al.

Summary: This paper proposes a coupling approach involving the Finite Element Method (FEM) and Smoothed Particle Hydrodynamics (SPH) method to investigate the multiple soil arching effects of cohesive-frictional soils. The approach is successfully validated by comparing numerical results with experimental observations. A sensitivity analysis reveals the influence of geometric and material parameters on load transfer, deformation behaviors, and failure mechanisms. The mobilization of soil particles is analyzed to explain the formation of multiple soil arches. The interaction between adjacent soil arches is identified by analyzing the inclinations of the failure surfaces, and the evolution of the equal settlement plane and failure surfaces during the arching process is discussed.

COMPUTERS AND GEOTECHNICS (2023)

Review Energy & Fuels

Recent progress and perspective on thermal-kinetic, heat and mass transportation of coal spontaneous combustion hazard

Xing Lu et al.

Summary: The thermal dynamic hazard raised by coal spontaneous combustion poses a great challenge to the global coal industry. Understanding the mechanisms of CSC can provide a reliable theoretical basis for process safety. Recent progress in experimental and mathematical methods, including propensity rating research, has helped in providing key findings for understanding the occurrence and development of CSC events.
Article Automation & Control Systems

Fault Detection in Nuclear Power Plants using Deep Leaning based Image Classification with Imaged Time-series Data

Y. Shi et al.

Summary: This paper proposes a two-stage fault detection method for nuclear power plants (NPPs) using deep learning algorithms. By transforming time-series data into two-dimensional images and applying image classification models, it achieves efficient and accurate fault detection, enhancing safety management capabilities in nuclear power systems.

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (2022)

Article Green & Sustainable Science & Technology

Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework

Mochen Liao et al.

Summary: This study reviewed relevant AI literature in the chemical industry and proposed a conceptual framework that encompasses approaches from industrial ecology, economics, and engineering to guide the selection of performance indicators and evaluation methods for a holistic assessment of AI's impacts. The study also highlights future research directions for addressing the data challenges in assessing AI's impacts and developing AI-enhanced tools to support the sustainable development of the chemical industry.

JOURNAL OF INDUSTRIAL ECOLOGY (2022)

Article Engineering, Chemical

Application of fuzzy logic and machine learning techniques to improve inherently safer design in process safety management: A brief study

Baiju Karun et al.

Summary: Inherently safer design focuses on preventing hazards and risks from developing in process industries. New technologies like machine learning and fuzzy logic are utilized to enhance the quality and efficiency of inherently safer designs.

PROCESS SAFETY PROGRESS (2022)

Article Biology

The severity prediction of the binary and multi-class cardiovascular disease-A machine learning-based fusion approach

Hafsa Binte Kibria et al.

Summary: This study uses machine learning techniques and data mining models to predict cardiovascular diseases. Three fusion models are proposed and show good accuracy in performance testing.

COMPUTATIONAL BIOLOGY AND CHEMISTRY (2022)

Article Engineering, Electrical & Electronic

The analysis of financial market risk based on machine learning and particle swarm optimization algorithm

Tao Liu et al.

Summary: The financial industry is crucial for promoting national economic development, but it also carries the largest hidden risks. Blockchain technology can be used to explore the risks in the financial market and improve the efficiency of the financial industry while reducing costs. Additionally, applying blockchain to the supply chain can enhance collaboration between companies.

EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2022)

Article Engineering, Industrial

In-depth analysis on safety and security research based on system dynamics: A bibliometric mapping approach-based study

Xiaoqing Gou et al.

Summary: This paper examines safety and security (SS) research based on system dynamics (SD) through bibliometric analysis and science mapping. By analyzing 1091 documents published between 2000 and 2020, it is found that the USA, China, UK, Germany, and Australia are the most prominent contributors, and IEEE Transactions on Power System, Safety Science, Energy Policy, System Dynamics Review, and Reliability Engineering & System Safety are the most active journals. The research focuses on safety management, risk analysis, and network and information security, with hot topics including safety management, energy security, resource utilization, and industry applications.

SAFETY SCIENCE (2022)

Article Multidisciplinary Sciences

Prognostics of unsupported railway sleepers and their severity diagnostics using machine learning

Jessada Sresakoolchai et al.

Summary: This study is the first in the world to develop machine learning models to predict and diagnose the severity of defects in unsupported sleepers. The data used for model development is based on actual field measurements and a verified finite element model. By varying the locations and number of unsupported sleepers, different conditions can be explored.

SCIENTIFIC REPORTS (2022)

Article Mathematics

Enhancing Supply Chain Agility with Industry 4.0 Enablers to Mitigate Ripple Effects Based on Integrated QFD-MCDM: An Empirical Study of New Energy Materials Manufacturers

Chih-Hung Hsu et al.

Summary: This study proposes an effective decision framework that integrates multi-criteria decision making and quality function deployment to enhance supply chain agility and reduce ripple effects using key industry 4.0 enablers. Through a case study, important insights and practical significance were obtained, such as strengthening partnerships, improving information transparency, and satisfying customer needs.

MATHEMATICS (2022)

Article Engineering, Electrical & Electronic

Smart factory floor safety monitoring using UWB sensor

Fabliha Bushra Islam et al.

Summary: Chemical asphyxiation can cause unconsciousness or death of factory workers. Industry 5.0 focuses on human-centricity to ensure safe and work-friendly environments. Recent research utilizes IoT sensors, specifically ultra-wideband (UWB) sensors, to recognize the motion and breathing pattern of workers in smart factory scenarios. Deep learning (DL) frameworks outperform traditional machine learning (ML) approaches in analyzing the data, achieving high accuracy rates.

IET SCIENCE MEASUREMENT & TECHNOLOGY (2022)

Article Engineering, Industrial

Construction safety and health hazard awareness in Web of Science and Weibo between 1991 and 2021

Liyun Zeng et al.

Summary: This paper compares the focus of construction hazard awareness between academia and laypeople by analyzing Weibo microblogs and scholarly articles. It finds that academia focuses more on high-tech topics, while there is limited mention of construction safety and health hazard awareness in Weibo.

SAFETY SCIENCE (2022)

Article Green & Sustainable Science & Technology

Visualizing the Knowledge Base and Research Hotspot of Public Health Emergency Management: A Science Mapping Analysis-Based Study

Kai Chen et al.

Summary: Public health emergency management has been a major challenge for social sustainable development since the beginning of the 21st century. Scholars have increasingly focused on research in this field. However, few studies have used bibliometric analysis and visualization to explore the characteristics of public health emergency management research. This study adopts bibliometric methods and science mapping technology to visually evaluate the knowledge structure and research trends in this field. The findings show that the main research directions include child prevention, mortality from public health events, public health emergency preparedness, public health emergency management, and COVID-19. The current research hotspots and frontiers are climate change, COVID-19, and related coronaviruses.

SUSTAINABILITY (2022)

Review Construction & Building Technology

Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

Shanaka Kristombu Baduge et al.

Summary: This article provides a state-of-the-art review of the applications of AI, ML, and DL in the building and construction industry, covering areas such as architectural design, material design, structural design, offsite manufacturing, construction management, smart operation, and circular economy. It also discusses data collection strategies, challenges in model development, and future trends in these domains.

AUTOMATION IN CONSTRUCTION (2022)

Article Engineering, Environmental

Fire and Explosion Economic Losses (FEEL) Index: A new approach for quantifying economic damages due to accidents in hydrocarbon storage sites

Julio Ariel Duenas Santana et al.

Summary: Fires and explosions have a significant impact on the economy, causing both direct and indirect economic losses. The current method of quantifying economic losses, F&EI-DOW, lacks an overall criterion for evaluating the hazardous potential of the entire industrial site. Therefore, a new index called FEEL-Index is proposed to supplement F&EI-DOW and provide a comprehensive assessment of economic losses, including reputation losses.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2022)

Article Computer Science, Interdisciplinary Applications

Clogging effect of fines in seepage erosion by using CFD-DEM

Hao Xiong et al.

Summary: The macroscopic phenomena and microscopic origin of penetrative migration and retention of fine particles in porous skeleton are studied through simulations using the coupled computational fluid dynamics-discrete element method. The results show that pore size significantly contributes to the degree and position of clogging, flow velocity affects cluster distribution, and more inflow fines aid the development of particle clusters in flow-avoidable areas.

COMPUTERS AND GEOTECHNICS (2022)

Article Engineering, Industrial

A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0

Dmitry Ivanov et al.

Summary: This study introduces the concept of a digital supply chain twin and its applications in managing supply chain risks, particularly during the COVID-19 pandemic. Digital twins enhance predictive and reactive decisions in risk management, ensuring supply chain visibility and business continuity.

PRODUCTION PLANNING & CONTROL (2021)

Article Engineering, Mechanical

Mapping the knowledge domains of research on corrosion of petrochemical equipment: An informetrics analysis-based study

Zhihui Lang et al.

Summary: Research on corrosion of petrochemical equipment has made significant progress in basic theory and research systems, with emerging research directions and broad frontiers. Core development paths include research on corrosion mechanism, anti-corrosion mechanism, microbial corrosion, and corrosion detection and monitoring. The research path is gradually evolving towards nano anti-corrosion materials, with new frontiers in simulation, biofuels, and composites.

ENGINEERING FAILURE ANALYSIS (2021)

Review Construction & Building Technology

Scene understanding in construction and buildings using image processing methods: A comprehensive review and a case study

Mehrdad Arashpour et al.

Summary: Acquiring photos and videos has become a new norm in construction and building projects, but the lack of required skillsets and familiarity with classic image processing methods hinders effective utilization of imagery data. Computer vision research in construction and building focuses on the interface of machine learning, object tracking, and activity recognition, although positive results have been reported, immediate industry implementations are not expected.

JOURNAL OF BUILDING ENGINEERING (2021)

Article Engineering, Industrial

An overview of scientometric mapping for the safety science community: Methods, tools, and framework

Jie Li et al.

Summary: Scientometrics analysis is increasingly used in various scientific fields to obtain quantitative insights on specific research areas by visualizing data metrics. The method allows researchers to gain a deeper understanding of different aspects of a scientific domain. Various methods have been developed to answer specific research questions, such as collaboration networks, thematic research clusters, historic evolution patterns, and trends in research topics.

SAFETY SCIENCE (2021)

Article Construction & Building Technology

Mapping the knowledge domains of research on fire safety - an informetrics analysis

Zhihui Lang et al.

Summary: The research revealed that China has the highest number of publications in the field of fire safety studies, with the University of Science and Technology of China having the highest number of publications among relevant institutions. The core paths in fire safety studies include building and tunnel fire safety, combustion behavior-simulation analysis, and flame-retardant material paths, with recent hot research areas being building and tunnel fires, forest fires, and materials science engineering.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)

Article Energy & Fuels

Mapping the knowledge domains of new energy vehicle safety: Informetrics analysis-based studies

Han Wang et al.

Summary: The field of NEV safety research mainly focuses on five main research directions including lithium-ion battery, fuel cell and hydrogen energy safety, autonomous driving technology, computer simulation, and vehicle crashworthiness. Research is concentrated in specific disciplines and journals, but a clear research evolutionary path has not been formed yet.

JOURNAL OF ENERGY STORAGE (2021)

Article Computer Science, Artificial Intelligence

Fault diagnosis of new energy vehicles based on improved machine learning

Haichao Liu et al.

Summary: This paper proposes a fault diagnosis system for the electric drive system of new energy vehicles, analyzes the fault mechanism of the electric drive system through improved machine learning technology, and designs fault diagnosis methods. Through experimental verification, the system demonstrates reliability.

SOFT COMPUTING (2021)

Article Acoustics

Fault diagnosis of angle grinders and electric impact drills using acoustic signals

Adam Glowacz et al.

Summary: This study focused on fault diagnosis of electric impact drills and angle grinders using acoustic signals. A method for feature extraction was proposed and classification was carried out using classifiers, achieving high classification accuracy.

APPLIED ACOUSTICS (2021)

Proceedings Paper Computer Science, Information Systems

Machine Learning and Deep Learning Methods used in Safety Management of Nuclear Power Plants: A Survey

Yong Shi et al.

Summary: The nuclear power industry is a strategic sector in the national economy with safety management being the top priority in daily operations. With the development of machine learning and deep learning, these intelligent methods have been introduced into safety management of nuclear power plants, promoting both research and practice. The article categorizes and reviews the applications of traditional machine learning, advanced deep learning, and other intelligent approaches in safety management of nuclear power plants.

21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS ICDMW 2021 (2021)

Article Environmental Sciences

Visualization and analysis of mapping knowledge domain of oxidation studies of sulfide ores

Rui Hong et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020)

Article Computer Science, Artificial Intelligence

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

Xiang Li et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Article Engineering, Industrial

Mapping knowledge structure and research trends of emergency evacuation studies

Hui Liu et al.

SAFETY SCIENCE (2020)

Review Engineering, Industrial

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

Jeevith Hegde et al.

SAFETY SCIENCE (2020)

Review Construction & Building Technology

Towards a semantic Construction Digital Twin: Directions for future research

Calin Boje et al.

AUTOMATION IN CONSTRUCTION (2020)

Article Computer Science, Software Engineering

Uncertainty modeling and runtime verification for autonomous vehicles driving control: A machine learning-based approach

Dongdong An et al.

JOURNAL OF SYSTEMS AND SOFTWARE (2020)

Article Engineering, Industrial

The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics

Dmitry Ivanov et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

Review Medicine, General & Internal

Machine Learning in Medicine

Alvin Rajkomar et al.

NEW ENGLAND JOURNAL OF MEDICINE (2019)

Article Construction & Building Technology

An automatic and non-invasive physical fatigue assessment method for construction workers

Yantao Yu et al.

AUTOMATION IN CONSTRUCTION (2019)

Article Computer Science, Artificial Intelligence

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

Alberto Diez-Olivan et al.

INFORMATION FUSION (2019)

Article Engineering, Industrial

Learning about risk: Machine learning for risk assessment

Nicola Paltrinieri et al.

SAFETY SCIENCE (2019)

Review Engineering, Industrial

A bibliometric review of laboratory safety in universities

Yunfeng Yang et al.

SAFETY SCIENCE (2019)

Article Computer Science, Information Systems

Mapping the Knowledge Structure and Research Evolution of Urban Rail Transit Safety Studies

Hui Liu et al.

IEEE ACCESS (2019)

Article Computer Science, Artificial Intelligence

A deep learning-based method for detecting non-certified work on construction sites

Qi Fang et al.

ADVANCED ENGINEERING INFORMATICS (2018)

Review Engineering, Mechanical

Artificial intelligence for fault diagnosis of rotating machinery: A review

Ruonan Liu et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Article Biochemistry & Molecular Biology

ProTox-II: a webserver for the prediction of toxicity of chemicals

Priyanka Banerjee et al.

NUCLEIC ACIDS RESEARCH (2018)

Article Engineering, Environmental

Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection

Md. Abdul Moktadir et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2018)

Review Engineering, Environmental

Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives

Sachin S. Kamble et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2018)

Article Computer Science, Information Systems

A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective

Hansong Xu et al.

IEEE ACCESS (2018)

Article Computer Science, Artificial Intelligence

Computer vision in automated parking systems: Design, implementation and challenges

Markus Heimberger et al.

IMAGE AND VISION COMPUTING (2017)

Article Computer Science, Information Systems

Benchmarking real-time vehicle data streaming models for a smart city

Jorge Y. Fernandez-Rodriguez et al.

INFORMATION SYSTEMS (2017)

Article Nuclear Science & Technology

Nuclear energy system's behavior and decision making using machine learning

Mario Gomez Fernandez et al.

NUCLEAR ENGINEERING AND DESIGN (2017)

Editorial Material Food Science & Technology

Food safety for food security: Relationship between global megatrends and developments in food safety

Thea King et al.

TRENDS IN FOOD SCIENCE & TECHNOLOGY (2017)

Article Energy & Fuels

Using Big Data to manage safety-related risk in the upstream oil & gas industry: A research agenda

Kim Hua Tan et al.

ENERGY EXPLORATION & EXPLOITATION (2016)

Article Computer Science, Information Systems

Secure and privacy-aware traffic information as a service in VANET-based clouds

Rasheed Hussain et al.

PERVASIVE AND MOBILE COMPUTING (2015)

Article Computer Science, Information Systems

The Internet of Things for Health Care: A Comprehensive Survey

S. M. Riazul Islam et al.

IEEE ACCESS (2015)

Article Health Care Sciences & Services

Insights From Advanced Analytics At The Veterans Health Administration

Stephan D. Fihn et al.

HEALTH AFFAIRS (2014)

Article Computer Science, Information Systems

Patterns of Connections and Movements in Dual-Map Overlays: A New Method of Publication Portfolio Analysis

Chaomei Chen et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2014)

Article Pharmacology & Pharmacy

P4 medicine: how systems medicine will transform the healthcare sector and society

Mauricio Flores et al.

PERSONALIZED MEDICINE (2013)

Article Computer Science, Artificial Intelligence

Financial early warning system model and data mining application for risk detection

Ali Serhan Koyuncugil et al.

EXPERT SYSTEMS WITH APPLICATIONS (2012)

Review Engineering, Geological

Making sense of Chalk: a total-rock approach to its Engineering Geology

R. N. Mortimore

QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY (2012)

Review Computer Science, Information Systems

Science Mapping Software Tools: Review, Analysis, and Cooperative Study Among Tools

M. J. Cobo et al.

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2011)

Article Construction & Building Technology

Case-Based Reasoning Approach to Construction Safety Hazard Identification: Adaptation and Utilization

Y. M. Goh et al.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2010)

Review Engineering, Environmental

Hazard and operability (HAZOP) analysis. A literature review

Jordi Dunjo et al.

JOURNAL OF HAZARDOUS MATERIALS (2010)

Article Instruments & Instrumentation

The NeuroBayes neural network package

M Feindt et al.

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT (2006)

Review Computer Science, Interdisciplinary Applications

A review of process fault detection and diagnosis Part I: Quantitative model-based methods

V Venkatsubramanian et al.

COMPUTERS & CHEMICAL ENGINEERING (2003)

Article Oncology

Occupation and bladder cancer among men in Western Europe

M Kogevinas et al.

CANCER CAUSES & CONTROL (2003)

Article Biotechnology & Applied Microbiology

Rapid and quantitative detection of the microbial spoilage of meat by Fourier transform infrared spectroscopy and machine learning

DI Ellis et al.

APPLIED AND ENVIRONMENTAL MICROBIOLOGY (2002)