An FSV Analysis Approach to verify the Robustness of The Triple-Correlation Analysis Theoretical Framework for Developing a Gas Warning System

Abstract This research aims to use 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. Our previous work found strong correlations between gas, temperature, and wind in the gas morning system. This research verifies the robustness of the Triple-Correlation Analysis Theoretical Framework, which integrating data on temperature and wind into the gas can improve warning systems’ sensitivity and reduce the incidence of explosions. The outcomes imply that Trip-Correlation Analysis Theoretical Framework is potentially valuable for developing other warning systems. The proposed FSV approach could be adopted for exploring data patterns insightfully to offer new perspectives to develop warning systems for different industry applications.