A Machine Learning Approach for Fire-Fighting Detection in the Power Industry

Coal combustion; Coal fired power plant; Coal industry; Coal storage; Fires; Forecasting; Fossil fuel power plants; Multilayer neural networks; Sensitivity analysis; Spontaneous combustion; Clinker formation prediction model; Complex Processes; Fighting detections; Fire fighting; Machine learning ap...

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Bibliographic Details
Main Authors: Ismail F.B., Al-Bazi A., Al-Hadeethi R.H., Victor M.
Other Authors: 58027086700
Format: Article
Published: Hashemite University 2023
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Summary:Coal combustion; Coal fired power plant; Coal industry; Coal storage; Fires; Forecasting; Fossil fuel power plants; Multilayer neural networks; Sensitivity analysis; Spontaneous combustion; Clinker formation prediction model; Complex Processes; Fighting detections; Fire fighting; Machine learning approaches; Power industry; Prediction modelling; Reserved coals; Spontaneous combustion of coals; Storage yards; Coal