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Evaluating the Thermal Condition of Mechanical Equipment via IRT Image Analysis by TWSVM and Boosting TWSVM

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2016

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
Infrared thermography technology is one of the most effective non-destructive testing techniques for predictive faults diagnosis of mechanical components.Faults in mechanical system show overheating of components which is a common indicator of poor connection or any defect.Thermographic inspection is employed for finding such heat related problems before eventual faiure of the system. their accurate detection is a key issue in computer aided detection schame. to improve the performance of detection , we propose a Boosting TWSVM and TWSVM to detect the faults in mechanical equipment. The algorithm is composed of five modules: taking a picture, normalizing, segmentation, feature extraction component, and the boosting TWSVM, TWSVM and SVM modules, then tested it on 160 thermal images of mechanical installations. Based on the results of the study shows that the automatic recognition system based on algorithm Boosting TWSVM has Accuracy 94.7 % , Sensitivity 95.2 , Precision 96.7 %, specificity 93.7 % compared with the SVM & TWSVM classification have best result.
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