Abstract
In this paper, an automatic recognition system is described for diagnosing faulted patterns of the electrical components in the scrubber system. The implementation of this faulted recognition scheme integrates several technological issues. Firstly, Preprocessing techniques are applied for diminishing the environmental effects and background temperature. And then, the shape of the rising temperature area can be obtained clearly for the electric components. Thermal shape and temperature distribution are selected for feature extraction. The thermal shape is chosen to distinguish components under a loading condition and the temperature distribution can be used to evaluate the deterioration severity of a component. Finally, a radial basis function neural network is built to identify various failure modes. The accuracy reach 89.4% under 80 hidden nodes in this designed faulted recognition system. It reveals that the feasibility of this model can be used for diagnosis and classify the failure mode of electric components in a scrubber system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Blazquez, C.H.: Detection of Problems in High Power Voltage Transmission and Distribution Lines with an infrared Scanner/Video System. In: Proceeding of Thermosense XVI, vol. 2245, pp. 27–32. SPIE, San Jose (1994)
Newport, R.: Infrared electrical inspection myths. In: Proceeding of ThermosenseXIX, vol. 3056, pp. 124–132. SPIE, San Jose (1997)
Giesecke, J.L.: Substation component identification for infrared thermographers. In: Proceeding of Thermosense XIX, vol. 3056, pp. 153–163. SPIE, San Jose (1997)
Hou, N.: The infrared thermography diagnostic technique of high-voltage electrical equipments with internal faults. In: Power system technology international conference, vol. 1, pp. 110–115. IEEE, Los Alamitos (1998)
Merryman, S.A., Nelms, R.M.: Diagnostic technique for power systems utilizing infrared thermal imaging. Industrial Electronics, pp. 615–628. IEEE, Los Alamitos (1995)
Ishino, R.: Detection of a faulty power distribution apparatus by using thermal images. Power Engineering Society Winter Meeting, pp. 1332–1337. IEEE, Los Alamitos (2002)
Chan, W.L., So, A.T.P., Lai, L.L.: Three-dimensional Thermal Imaging for Power Equipment Monitoring, Generation, Transmission and Distribution. IEE Proceedings 1, 355–360 (2000)
Hu, M.K.: Visual pattern recognition by moment invariants. IRE Trans. Inf. Theory IT-8, 179–187 (1962)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lin, KC., Lai, CS. (2003). Fault Recognition System of Electrical Components in Scrubber Using Infrared Images. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_176
Download citation
DOI: https://doi.org/10.1007/978-3-540-45224-9_176
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40803-1
Online ISBN: 978-3-540-45224-9
eBook Packages: Springer Book Archive