References
- Ali, M.H., Zharakhmet, T., Atykhan, M., Yerbolat, A., and Batai, S., Development of a Robot for Boiler Tube Inspection, Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics, 2018, Vol. 2, pp. 544-551.
- Boonyaprapasorn, A., Maneewarn, T., and Thung-Od, K., A prototype of inspection robot for water wall tubes in boiler, Proceedings of the 2014 3rd International Conference on Applied Robotics for the Power Industry. IEEE, 2014, pp. 1-6.
- Gonzalez, R.C. and Woods, R.E., Digital Image Processing, 2010, Third Edition, Pearson Prentice Hall, pp. 760-785.
- Gowatski, S., Improving boiler reliability through NDT., ASME Power Conference, 2008, pp. 137-141.
- Jalal, M.F., Abdul, K.S., Mohamed, S., and Anuar, A., Development of magnetic wheeled boiler tube inspection robot, Jurnal Teknologi, 2015, Vol.76, No.4, pp. 19-23. https://doi.org/10.11113/jt.v76.5478
- Jana, S., Non-destructive in-situ replication metallography, Journal of Materials Processing Technology, 1995, Vol. 49, No. 1-2, pp. 85-114. https://doi.org/10.1016/0924-0136(94)01314-Q
- Johnston, B., Jones, A., and Kruger, C., Applied Unsupervised Learning with Python: Discover hidden patterns and relationships in unstructured data with Python, Packt Publishing Ltd, 2019.
- Kim, J.B., Oh, S.B., Park, J.K., Kim, C.B., and Yun, D.S., Thermal Degradation Analysis of Platen Super Heater Tubes in Thermal Power Plants using a Nonlinear Ultrasonic Technique, Journal of the Korean Society for Nondestructive Testing, 2022, Vol. 42, No. 3 pp. 216-221. https://doi.org/10.7779/JKSNT.2022.42.3.216
- Kim, M.Y., Chu, D.J., Lee, Y.K., Shim, J.H., and Jung, W.S., Residual lifetime assessment of cold-reheater pipe in coal-fired power plant through accelerated degradation test, Reliability Engineering & System Safety, 2019, Vol. 188, pp. 330-335. https://doi.org/10.1016/j.ress.2019.03.043
- Krasula, L., Fliegel, K., Le Callet, P., and Klima, M. , Using full-reference image quality metrics for automatic image sharpening. In Optics, Photonics, and Digital Technologies for Multimedia Applications III, 2014, Vol. 9138, pp. 54-64.
- Ku, D.H., Yoo, H.S., and Moon, S.J., Evaluation of the High Temperature Degradation of the Rotor of a 500 MW Tandem Steam Turbine, Plant Journal, 2014, Vol. 10, No. 1, pp. 40-46.
- Lara, C., Villamil, J., Abrahao, A., Aravelli, A., Daldegan, G., Sarker, S., Martinez, D., McDaniel, D., Development of an Innovative Inspection Tool for Superheater Tubes in Fossil Fuel Power Plants, Materials Evaluation, 2021, Vol.79, No. 7, pp. 728-738. https://doi.org/10.32548/2021.me-04212
- Minichino, J. and Howse, J., Learning OpenCV 3 computer vision with python, second ed., Packt Publishing Ltd, 2015, pp. 45-59
- Park, J.H., Seo, J.S., and Jung, G.J., Influence of Tensile Stress of Boiler Tube Materials on Metal Magnetic Memory Signal Characteristics, Journal of the Korean Society for Nondestructive Testing, 2022, Vol. 42, No. 2, pp. 120-128. https://doi.org/10.7779/JKSNT.2022.42.2.120
- Sahari K.S.M, et al., Development of robotic boiler header inspection device, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, IEEE, 2012, pp. 769-773.
- Salonen, J. and Auerkari, P., Microstructural degradation of boiler tube steels under long term exposure to high temperature, VTT Manufacturing Technology, 1996.
- Song, X.C., Wu, X.J., and Kang, Y.H., An inspection robot for boiler tube using magnetic flux leakage and ultrasonic methods, Insight-Non-Destructive Testing and Condition Monitoring, 2004, Vol. 46, No.5, pp. 275-278. https://doi.org/10.1784/insi.46.5.275.55566
- Standard Practice for Production and Evaluation of Field Metallographic Replicas, ASTM International Committee, E1351-01, 2012.