Transformer Monitoring System Taking Advantage of Hybrid Wavelet Fourier Transform
Chapter
Abstract
In this paper, the power transformer monitoring system (PTMS), which uses expert database to detect failures and hybrid wavelet-fourier transform (HWFT) to compress data is introduced. The HWFT takes advantage of both: discrete wavelet transform (DWT) and discrete cosine transform (DCT), to compress data. It has been proved that HWFT outperforms DCT and DWT, which are used in JPEG and JPEG2000 compression standards, in terms of compression ratio while preserves the same accuracy of decompressed signal.
Keywords
Compression Ratio Discrete Cosine Transform Discrete Wavelet Transform Power Transformer Compression Algorithm
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Preview
Unable to display preview. Download preview PDF.
References
- 1.Provanzana J.H., Gattens P.R., Hagman W.H., Moore H.R., Harley J.W., Triner J.E.: Transformer Condition Monitoring – Realizing an Integrated Adaptive Analysis System, CIGRE 1992, Rep. No. 12–105Google Scholar
- 2.Kawamura T., Fushimi Y., Shimano T., Amano N., Ebisawa Y., Hosokawa N.: Improvement in Maintenance and Inspection and Pursuit of Economical Effectiveness of Transformers in Japan, CIGRE 2002, Rep No. 12–107Google Scholar
- 3.Boss P., Lorin P., Viscardi A., Harley J.W., Isecke J.: Economical aspects and practical experiences of power transformer on-line monitoring, CIGRE 2000, Rep. No. 12–202Google Scholar
- 4.Aschwanden T., Hässig M., Fuhr J., Lorin P., Der Houhanessian V., Zaengl W., Schenk A., Zweiacker P., Piras A., Dutoid J.: Development and Application of New Condition Assessment Methods for Power Transformers, CIGRE 1998, Rep. No. 12–207Google Scholar
- 5.Liebfried T., Knorr W., Viereck K., Dohnal D., Kosmata A., Sundermann U., Breitenbauch B.: On-line Monitoring of Power Transformers – Trends, New Developments and First Experiences, CIGRE 1998, Rep. No. 12–211Google Scholar
- 6.Bengtsson T., Kols H., Foata M., Léonard F.: Monitoring Tap Changer Operations, CIGRE 1998, Rep. No. 12–209Google Scholar
- 7.Poittevin J., Tenbohlen S., Uhde D., Sundermann U., Borsi H., Werle P., Matthes H.: Enhanced Diagnosis of Power Transformers Using On- and Off-Line Methods: Results, Examples and Future trends, CIGRE 2000, Rep No. 12–204Google Scholar
- 8.Tenbohlen S., Stirl T., Stach M., Breitenbauch B., Huber R., Bastos G., Baldauf J., Mayer P.: Experienced-Based Evaluation of Economic Benefits of On-line Monitoring Systems for Power Transformers. CIGRE 2002, Rep. No. 12–110Google Scholar
- 9.Bassiouni, M.A.: Data compression in scientific and statistical databases. IEEE Trans. Software Eng. SE 11(10): 1047–1058 (October 1985)CrossRefGoogle Scholar
- 10.Walker J.S.: Fast Fourier Transforms. CRC Press, West Palm Beach, FL, 2nd edition, 1996MATHGoogle Scholar
- 11.Burrows M., Wheeler D.J.: A block-sorting lossless data compression algorithm. Digital Systems Res. Ctr., Palo Alto, CA, 1994Google Scholar
- 12.Haar A., Zur Theorie der orthogonalen Funktionen-Systeme, Math. Ann., 69, pp. 331–371Google Scholar
- 13.Daubechies I., Ten Lectures on Wavelets, SIAM, Philadelphia, Pennsylvania, 1992MATHGoogle Scholar
- 14.Mallat S., A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 674–693, July 1989MATHCrossRefGoogle Scholar
- 15.Skarbek W., Mulitmedia Algorytmy i Standardy Kompresji, Akademicka Oficyna Wydawnicza, Warszawa 1998Google Scholar
- 16.Huffman D.A., A method for the construction of minimum redundancy codes, Proc. IRE, no. 40, pp. 1098–1101, Sept. 1952Google Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 2008