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![]() ![]() Accession number: 20133016541050 Title: Research on compression and reconstruction of wind turbine vibration signal based on discrete cosine transform Authors: Huang, Zhi Dong1 ; Gan, Xiao Ye1 Author affiliation: 1 Dept. of Mechanical Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning, 117004, China Source title: Advanced Materials Research Abbreviated source title: Adv. Mater. Res. Volume: 712-715 Monograph title: Advances in Manufacturing Science and Engineering Issue date: 2013 Publication year: 2013 Pages: 1668-1671 Language: English ISSN: 10226680 ISBN-13: 9783037857243 Document type: Conference article (CA) Conference name: 4th International Conference on Manufacturing Science and Engineering, ICMSE 2013 Conference date: March 30, 2013 - March 31, 2013 Conference location: Dalian, China Conference code: 97852 Sponsor: Northeastern University; Harbin Institute of Technology; Jilin University; Hong Kong Industrial Technology Research Centre Publisher: Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland Abstract: The method of compression and reconstruction for wind turbine vibration signal based on Discrete Cosine Transform is presented. Two group wind turbine vibration signals are compressed and reconstructed by DCT. The compression ratio and the compression reconstruction accuracy are investigated. The relationship between compression ratio, NSRMSE and the number of the reserved data is clarified. The result facilitates the application of compression and reconstruction for wind turbine vibration signal based on DCT. © (2013) Trans Tech Publications, Switzerland. Number of references: 6 Main heading: Wind turbines Controlled terms: Data compression - Discrete cosine transforms - Manufacture Uncontrolled terms: NSRMSE - Reconstruction accuracy - Turbine vibrations Classification code: 537.1 Heat Treatment Processes - 615.8 Wind Power (Before 1993, use code 611 ) - 716.1 Information Theory and Signal Processing - 921.3 Mathematical Transformations DOI: 10.4028/www.scientific.net/AMR.712-715.1668 Database: Compendex Compilation and indexing terms, © 2012 Elsevier Inc. |
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