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An FSV analysis approach to verify the robustness of the triple-correlation analysis theoretical framework
Wu, Robert M. X. Zhang, Zhongwu Zhang, Huan Wang, Yongwen Shafiabady, Niusha Yan, Wanjun Gou, Jinwen Gide, Ergun Zhang, Siqing
Wu, Robert M. X.
Zhang, Zhongwu
Zhang, Huan
Wang, Yongwen
Shafiabady, Niusha
Yan, Wanjun
Gou, Jinwen
Gide, Ergun
Zhang, Siqing
Abstract
Among all the gas disasters, gas concentration exceeding the threshold limit value (TLV) has been the leading cause of accidents. However, most systems still focus on exploring the methods and framework for avoiding reaching or exceeding TLV of the gas concentration from viewpoints of impacts on geological conditions and coal mining working-face elements. The previous study developed a Trip-Correlation Analysis Theoretical Framework and found strong correlations between gas and gas, gas and temperature, and gas and wind in the gas monitoring system. However, this framework's effectiveness must be examined to determine whether it might be adopted in other coal mine cases. This research aims to explore a proposed verification analysis approach—First-round—Second-round—Verification round (FSV) analysis approach to verify the robustness of the Trip-Correlation Analysis Theoretical Framework for developing a gas warning system. A mixed qualitative and quantitative research methodology is adopted, including a case study and correlational research. The results verify the robustness of the Triple-Correlation Analysis Theoretical Framework. The outcomes imply that this framework is potentially valuable for developing other warning systems. The proposed FSV approach can also be used to explore data patterns insightfully and offer new perspectives to develop warning systems for different industry applications.
Keywords
Date
2023
Type
Journal article
Journal
Scientific Reports
Book
Volume
13
Issue
1
Page Range
1-20
Article Number
Article 9621
ACU Department
Peter Faber Business School
Faculty of Law and Business
Faculty of Law and Business
Collections
Relation URI
Source URL
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY 4.0
File Access
Open
Notes
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