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Periodic maintenance is a primitive task for preventive maintenance of machines. Abnormal heat generation or heat flow is one of initial indicators of probable future failure. In this paper we presented an autonomous inspection system for heat flow monitoring and measurement of machines in non-invasive way. The proposed system uses infrared (IR) imaging to capture thermal properties of machines that generate heat. Heat sources are segmented and all segmented regions are tracked until heat is present to record the changes in heat pattern. Every hot segment is broken into multiple buckets that aligned towards a specific direction. Heat propagation towards every direction is analysed. The outcome of the presented analysis calculates rate of thermal flow along every directions. Presented results show that the proposed method is capable of measuring heat flow accurately for different type of machines and the analysis has usability in the domain of predictive maintenance for machines.

ThermoFlowScan: Automatic Thermal Flow Analysis of Machines from Infrared Video