International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Electronics & Communication Engineering | China | Volume 5 Issue 1, January 2016


A Detection of the Quality of Sound Gear based on Digital Signal Processing Techniques

Benedictor Alexander Nguchu [2]


Abstract: Despite the fact that products in the industries are made by the same formula, the imperfections and dissimilarities between the produced products are influenced by noises and mechanical connections, moreover the variations of temperature with time during the production contribute to these imperfections. Previously and even to date the produced sound gears in many industries were tested by using the human ears to determine the defect gears and good gears, other methods like pitch detection method and faults detection method are applied. However those method have been found to be unreliable and therefore accelerated to bad sorting between good gears and bad gears. In this paper we proposed a powerful approach which used Digital signal processing techniques to determine the quality of the sound Gears. We integrated Correlation technique, Normalization and alignment methods. The techniques were applied to the extracted sound signals. The final extracted features (amplitudes, frequencies and phases) were classified and hence used to determine the good (non-defect) and bad (defect) gears. The entire process provided the perfect and higher accurate results and suggest that the tool can be used to identify good and bad sound gears


Keywords: Signal processing techniques, sound Gears, signal features, Correlation, Computer Vision


Edition: Volume 5 Issue 1, January 2016,


Pages: 592 - 597


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How to Cite this Article?

Benedictor Alexander Nguchu, "A Detection of the Quality of Sound Gear based on Digital Signal Processing Techniques", International Journal of Science and Research (IJSR), Volume 5 Issue 1, January 2016, pp. 592-597, https://www.ijsr.net/get_abstract.php?paper_id=NOV152810

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