Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
One step forward for smart chemical process fault detection and diagnosis
X Bi, R Qin, D Wu, S Zheng, J Zhao - Computers & Chemical Engineering, 2022 - Elsevier
Process fault detection and diagnosis (FDD) is an essential tool to ensure safe production in
chemical industries. After decades of development, despite the promising performance of …
chemical industries. After decades of development, despite the promising performance of …
Near-miss management systems and observability-in-depth: Handling safety incidents and accident precursors in light of safety principles
Accident precursors and near-miss management systems (NMS) are important safety tools
in industries with major accident hazards, such as the airline industry, the nuclear industry …
in industries with major accident hazards, such as the airline industry, the nuclear industry …
Analysis of accidents caused by human factors in the oil and gas industry using the HFACS-OGI framework
CD Nwankwo, AO Arewa, SC Theophilus… - … of occupational safety …, 2022 - Taylor & Francis
Objectives. Human factors have been identified as the most common causes of catastrophic
accidents in the oil and gas industry. Therefore, this study aims to analyze human causal …
accidents in the oil and gas industry. Therefore, this study aims to analyze human causal …
Abnormal situation management: Challenges and opportunities in the big data era
Y Shu, L Ming, F Cheng, Z Zhang, J Zhao - Computers & Chemical …, 2016 - Elsevier
Although modern chemical processes are highly automatic, abnormal situation management
(ASM) still heavily relies on human operators. Process fault detection and diagnosis (FDD) …
(ASM) still heavily relies on human operators. Process fault detection and diagnosis (FDD) …
An Accident Causation Analysis and Taxonomy (ACAT) model of complex industrial system from both system safety and control theory perspectives
W Li, L Zhang, W Liang - Safety science, 2017 - Elsevier
Accident causation analysis is a good way to trace industrial accident causes and ultimately
to prevent similar accidents from happening again. Classification of accident causes can not …
to prevent similar accidents from happening again. Classification of accident causes can not …
[HTML][HTML] On the use of criteria based on the SMART acronym to assess quality of performance indicators for safety management in process industries
Management of safety, and barriers in particular, includes using information expressing
performance, ie use of safety performance indicators. For this information to be useful, the …
performance, ie use of safety performance indicators. For this information to be useful, the …
A new accident causation model based on information flow and its application in Tian** Port fire and explosion accident
C Wu, L Huang - Reliability Engineering & System Safety, 2019 - Elsevier
Accident causation models can provide a framework of reference to help understand and
explain how an accident occurs. The role of information flow (IF) in accident causation is …
explain how an accident occurs. The role of information flow (IF) in accident causation is …
Learning how to learn from failures: The Fukushima nuclear disaster
A Labib, MJ Harris - Engineering Failure Analysis, 2015 - Elsevier
Abstract Analysis of the Fukushima nuclear reactor disaster will show how to learn from
failures using multi-models. This type of analysis can enrich the modelling of causal factors …
failures using multi-models. This type of analysis can enrich the modelling of causal factors …
Maintenance and inspection as risk factors in helicopter accidents: Analysis and recommendations
In this work, we establish that maintenance and inspection are a risk factor in helicopter
accidents. Between 2005 and 2015, flawed maintenance and inspection were causal factors …
accidents. Between 2005 and 2015, flawed maintenance and inspection were causal factors …
[HTML][HTML] Accident prevention analysis: Exploring the intellectual structure of a research field
R Huang, H Liu, H Ma, Y Qiang, K Pan, X Gou, X Wang… - Sustainability, 2022 - mdpi.com
Accident prevention is of great significance in avoiding or reducing all kinds of casualties
and economic losses, and is one of the main challenges for social sustainable development …
and economic losses, and is one of the main challenges for social sustainable development …