Authors:
Arindam Saha
;
Jitender Maurya
;
Sushovan Mukherjee
and
Ranjan Dasgupta
Affiliation:
TCS Research & Innovation, India
Keyword(s):
Infrared Image, Segmentation, Feature Extraction, Thermal Flow Measurement, Machine Condition Monitoring.
Related
Ontology
Subjects/Areas/Topics:
Active and Robot Vision
;
Applications
;
Applications and Services
;
Color and Texture Analyses
;
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Mobile Imaging
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Robotics
;
Segmentation and Grouping
;
Software Engineering
Abstract:
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 showed the proposed method is capable of measuring heat flow accurately for different type of machines and analysis has the usability for predictive maintenance for machines.