Application of the Dither Technology in a Fault Detection System

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Abstract:

In a fault detection system A/D conversion is a necessary step, in which quantization issues are unavoidable. Problems about quantization effects can be solved properly by using the dither technique. Firstly quantization problems of A/D conversion in a fault diagnosis system are discussed. Then the principle of dithering technique is introduced from the view of probability statistics. In further more, it is tested that fault signals whose amplitude is less than the quantization interval can be extracted, and that coherent harmonic interference in quantizing process can also be eliminated. Finally the result shows that by using dither technique the system can gain an enhanced level of fault detection with a faint signal-to-noise ratio loss, which has a direct guidance on engineering design in sensor-signal-sampling system.

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71-74

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] J.D. Wu and S.Y. Liao: submitted to Expert Systems with Applications (2010).

Google Scholar

[2] A.B. Qiu, C.L. Wen and B. Jiang: submitted to Chinese Journal of Electronics (2010). (In Chinese).

Google Scholar

[3] J . Zhang, Y.M. Bo and M. lv: submitted to Journal of Nanjing University of Science and Technology (Natural Science) (2010). (In Chinese).

Google Scholar

[4] P. Zhang, in: Fault detection approaches for sampled-data systems. Beijing, Tsinghua University Publishers (2002). (In Chinese).

Google Scholar

[5] S.X. Ding, in: Model-based fault diagnosis techniques: design schemes, Algorithms, and tools. Berlin Heidelberg, Springer-Verlag (2008).

Google Scholar

[6] F.H. Hsiao: submitted to Fuzzy Sets and Systems (2010).

Google Scholar

[7] A. Kumar, P. Ishwar and K. Ramchandran: submitted to IEEE Transactions on Signal Processing (2010).

Google Scholar

[8] Q. Hu, Z.J. He, Z.S. Zhan and et al: submitted to Mechanical Systems and Signal Processing (2007).

Google Scholar