Journal of Loss Prevention in the Process Industries
ISSN: 0950-4230
Datasets associated with articles published in Journal of Loss Prevention in the Process Industries
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- Data for: A Beetle Antennae Search Improved BP Neural Network Model for Predicting Multi-Factor-Based Gas Explosion PressuresThe file of database and weights and biases are all for this study.
- Analysis of laboratory incident database Incident database
- Data for: Societal risk acceptance criteria for gas distribution pipelines based on incident data from the United StatesThis data covers the Incident information in gas distribution pipeline industry used in this study. It is from the website of Department of transportation, United States.
- Data for: Sizing Rupture Disk Vent Line Systems for High-velocity Gas FlowsDataset for studying pressure drop across rupture disk devices with air as medium
- Data for: Investigating the Relationship between RPN Parameters in Fuzzy PFMEA and OEE in a Sugar Factory The results of the research showed a negative correlation between OEE and RPN
- Data for: Analysis of crater formation in buried NG pipelines: A survey based on past accidents and evaluation of domino effect Database with 90 accidents involving the formation of craters by the rupture of buried NG pipelines.
- Data for: A Statistical Approach to determine the Autoignition Temperature of Dust CloudsDataset content Lycopodium: test with Lycopodium Wood Char: test with wood char EnvT: ambient temperature EnvU: ambient air humidity Pressure: the pressure in the air reservoir of the GG furnace prior to the blast Temperature: Furnace temperature Ignition: 0 = no ignition, 1= ignition Clean: furnace state. 0 = furnace not cleaned, 1= furnace cleaned the same day of the test
- MD-620 number of folders in quick succession -1MD-620 number of folders in quick succession -1