MACHINE LEARNING MODEL-BASED, OVERHEAD LINE BREAKAGE PREDICTION SYSTEM
Data analysis-based line breakage prediction is provided, which includes providing a machine learning model trained to, at least in part, facilitate minimizing downtime within a network that includes an overhead line. Tensile-related data for the overhead line is obtained, and the machine learning m...
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Main Authors | , |
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Format | Patent |
Language | English |
Published |
22.06.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Data analysis-based line breakage prediction is provided, which includes providing a machine learning model trained to, at least in part, facilitate minimizing downtime within a network that includes an overhead line. Tensile-related data for the overhead line is obtained, and the machine learning model analyzes relevant data for the overhead line, including the tensile-related data for the overhead line, and generates a probability of breakage score for the overhead line based on the relevant data, including the tensile-related data. An action is initiated, using the machine learning model, to minimize downtime within the network based, at least in part, on the generated probability of breakage score for the overhead line. |
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Bibliography: | Application Number: US202117555780 |