Image analysis and laser induced fluorescence combined to determine biological growth on silicone rubber insulators

High-voltage outdoor insulators made from silicone rubber are sometimes reported to be colonised by microorganisms. When the hydrophobic polymeric surface is covered by a hydrophilic biofilm, the electrical properties of the insulator are altered. In this work, mixed biofilms, similar to those formed on the surfaces of polymeric insulators in the field, were successfully grown on five types of silicone rubber substrates in the laboratory, using specially designed microenvironment chambers. Photography and digital image analysis were utilized to estimate the areas covered by the growth. It was found that direct UV-light exposure hindered growth of the biofilms. Further, growth was also hindered on samples where zinc borate had been added as flame retardant. In contrast, addition of ATH did not influence the growth. In parallel, LIF spectroscopy was explored as a tool for detection of biofilms on silicon rubber samples. Experiments revealed that even weak traces of growth, not visible to the naked eye, could be detected. Finally, it is believed that LIF spectroscopy in combination with image analysis can be used for field diagnostics of biological growth on insulators in service.

[1]  R. Matsuoka,et al.  Investigation of the insulation performance of the insulator covered with Lichen , 1990 .

[2]  Paul Geladi,et al.  Chemometrics in spectroscopy. Part 1. Classical chemometrics , 2003 .

[3]  R. Gorur,et al.  Mold growth on nonceramic insulators and its impact on electrical performance , 2003 .

[4]  S. Karlsson,et al.  Development and comparison of test methods for evaluating formation of biofilms on silicones , 2002 .

[5]  M. Owen Surface Properties of Silicone High Voltage Insulators , 1998 .

[6]  S. Gubanski,et al.  Effects of biological contamination on insulator performance , 2000, Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials (Cat. No.00CH36347).

[7]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[8]  M. H. Chowdhury,et al.  Image thresholding techniques , 1995, IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing. Proceedings.

[9]  R. Gorur,et al.  Field and laboratory aging of polymeric distribution cable terminations. I. Field aging , 1998 .

[10]  Iacopo Mochi,et al.  Fluorescence lidar imaging of the cathedral and baptistery of Parma , 2003 .

[11]  R. Thottappillil,et al.  Hydrophobicity estimation of HV polymeric insulating materials. Development of a digital image processing method , 2001 .

[12]  Milan Sonka,et al.  Image processing analysis and machine vision [2nd ed.] , 1999 .

[13]  S. Kröll,et al.  In-situ diagnostics of HV outdoor insulators using laser-induced fluorescence spectroscopy , 2002 .

[14]  S. Karlsson,et al.  Biofilms on silicone rubber insulators; microbial composition and diagnostics of removal by use of ESEM/EDS - Composition of biofilms infecting silicone rubber insulators , 2004 .

[15]  J. Wimpenny,et al.  Heterogeneity in biofilms. , 2000, FEMS microbiology reviews.

[16]  K. Sakanishi,et al.  Deterioration diagnosis technique of housing rubber for composite hollow insulators , 2003, Proceedings of the 7th International Conference on Properties and Applications of Dielectric Materials (Cat. No.03CH37417).

[17]  Sune Svanberg,et al.  Versatile mobile lidar system for environmental monitoring. , 2003, Applied optics.

[18]  A. Mills,et al.  Manual of environmental microbiology. , 2007 .

[19]  S. Kröll,et al.  Laser-induced fluorescence spectroscopy for detection of biological contaminations on composite insulators , 2003 .