Histogram-based of Healthy and Unhealthy Bearing Monitoring in Induction Motor by Using Thermal Camera
Thorsen, O.V. and M. Dalva, A survey of faults on induction motors in offshore oil industry, petrochemical industry, gas terminals, and oil refineries. Industry Applications, IEEE Transactions on, 1995. 31(5): p. 1186-1196.
Nandi, S., H.A. Toliyat, and L. Xiaodong, Condition monitoring and fault diagnosis of electrical motors-a review. Energy Conversion, IEEE Transactions on, 2005. 20(4): p. 719-729.
IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems. ANSI/IEEE Std 493-1980, 1988: p. 3.
Albrecht, P.F., et al., Assessment of the Reliability of Motors in Utility Applications - Updated. Energy Conversion, IEEE Transactions on, 1986. EC-1(1): p. 39-46.
Thomson, W.T. and M. Fenger, Current signature analysis to detect induction motor faults. Industry Applications Magazine, IEEE, 2001. 7(4): p. 26-34.
Schoen, R.R., et al., Motor bearing damage detection using stator current monitoring. Industry Applications, IEEE Transactions on, 1995. 31(6): p. 1274-1279.
Hulugappaa, B., T. Pasha, and K. M Ramakrishna, Condition Monitoring of Induction Motor Ball Bearing Using Monitoring Techniques. International Journal of Information Technology & Computer Sciences Perspectives, 2013. 2(1): p. 281-287.
Achmad Widodo, D.S., Toni Prahasto, Gang-Min Lim,Byeong-Keun Choi, Confirmation of Thermal Images and Vibration Signals for Intelligent Machine Fault Diagnostics. international Journal of Rotating Machinery, 2012. 2012.
Ali Md. Younus, A.W., Bo-Suk Yang, Application Of Thermal Image: Machine Fault Diagnosis Using Pca And Ica Combine With Svm. 2009.
Ali Md. Younus, K.A., Bo-Suk Yang, Wavelet Co-Efficient of thermal image analysis for machine fault diagnosis. 2009.
Karvelis, P., et al. An automated thermographic image segmentation method for induction motor fault diagnosis. in Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE. 2014.
Khamisan, N., K.H. Ghazali, and A.H.M. Zin, A Thermograph Image Extraction Based On Color Features For Induction Motor Bearing Fault Diagnosis Monitoring. 2015.
Tran, V.T., et al., Thermal image enhancement using bi-dimensional empirical mode decomposition in combination with relevance vector machine for rotating machinery fault diagnosis. Mechanical Systems and Signal Processing, 2013. 38(2): p. 601-614.
Younus, A.M. and Y. Bo-Suk. Wavelet co-efficient of thermal image analysis for machine fault diagnosis. in Prognostics and Health Management Conference, 2010. PHM '10. 2010.
Younus, A.M.D. and B.-S. Yang, Intelligent fault diagnosis of rotating machinery using infrared thermal image. Expert Systems with Applications, 2012. 39(2): p. 2082-2091.
Kamaruddin, S., et al. Canned Pineapple Grading Using Pixel Color Extraction. in Proc. The International Conference on Artificial Intelligence in Computer Science and ICT (AICS 2013).
Cetingul, M.P. and C. Herman. Identification of skin lesions from the transient thermal response using infrared imaging technique. in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on. 2008.
Ying-Chieh, C. and Y. Leehter. Automatic Diagnostic System of Electrical Equipment Using Infrared Thermography. in Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of. 2009.
Bortoni, E.C., R.T. Siniscalchi, and J.A. Jardini. Hydro generator efficiency assessment using infrared thermal imaging techniques. in Power and Energy Society General Meeting, 2010 IEEE. 2010.
Kolaric, D., et al. Application of infrared thermal imaging in blade system temperature monitoring. in ELMAR, 2011 Proceedings. 2011.
Jadin, M.S., et al. Finding ROIs in infrared image of electrical installation for qualitative thermal condition evaluation. in 2012 IEEE International Conference on Control System, Computing and Engineering. 2012.
Garcia-Ramirez, A.G., et al. Thermographic technique as a complement for MCSA in induction motor fault detection. in Electrical Machines (ICEM), 2014 International Conference on. 2014.
Huda, A.S.N., et al., A new thermographic NDT for condition monitoring of electrical components using ANN with confidence level analysis. ISA Transactions, 2014. 53(3): p. 717-724.
Jadin, M.S., K.H. Ghazali, and S. Taib. Detecting ROIs in the thermal image of electrical installations. in 2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014). 2014.
Jadin, M.S., S. Taib, and K.H. Ghazali, Feature extraction and classification for detecting the thermal faults in electrical installations. Measurement, 2014. 57: p. 15-24.
Fantidis, J., et al., The study of the thermal profile of a three-phase motor under different conditions. ARPN Journal of Engineering and Applied Sciences, 2013. 8(11): p. 892-899.
Chaturvedi, D., S. Iqbal, and M.P. Singh. Intelligent health monitoring system for three phase induction motor using infrared thermal image. in Energy Economics and Environment (ICEEE), 2015 International Conference on. 2015. IEEE.
Picazo-Rodenas, M., R. Royo, and J. Antonino-Daviu, A New Methodology for Complementary Diagnosis of Induction Motors Based on Infrared Thermography. International Journal on Energy Conversion (IRECON), 2015. 3(2): p. 44-52.
Schulz, R., et al. Thermal imaging for monitoring rolling element bearings. in 12th International conference on Quantitative InfraRed Thermography (QIRT 2014). 2014.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.