Optimal filtering of signals and its application to diagnostics of gearboxes. Part 1 Theoretical background
1
Politechnika Wrocławska, Wydział Geoinżynierii, Górnictwa i Geologii, Instytut Gónictwa
Mining Science 2009;128(36):237-244
ABSTRACT
An introduction to optimal Wiener filtering and its application to condition monitoring of local damages in gearboxes is given in the paper. This work consists of two parts: in the first part the idea of optimal filtering proposed by Wiener is discussed and simple illustration by simulation is provided. The second part shows obstacles of Wiener approach, however his concept of optimization of filter is still useful. It has been show that spectral kurtosis and Wiener IIR filter are the same. As an illustration of practical application of optimal filter to local damage detection results obtained for planetary gearboxes used in mining industry are showed.
REFERENCES (9)
1.
MĄCZAK J., Wykorzystanie zjawiska modulacji sygnału wibroakustycznego w diagnozowaniu przekładni o zębach śrubowych, Rozprawa doktorska, Politechnika Warszawska, 1998.
2.
WANG W., Early detection of gear tooth cracking using resonance demodulation technique. Mechanical Systems and Signal Processing, 15(5), 2001, 887-903.
3.
BARSZCZ T., RANDALL R.B., Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine, Mechanical Systems and Signal Processing, Vol. 23, Issue 4, May 2009, 1352-1365.
4.
ANTONI J. and RANDALL R.B., The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines, Mechanical Systems and Signal Processing, Vol. 20, Issue 2, February 2006,308-331.
5.
SAWALHI N., RANDALL R.B., ENDO H., The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis. Mechanical Systems and Signal Processing, Volume 21, Issue 6, August 2007, 2616-2633.
6.
BARTELMUS W., ZIMROZ R., Optymalny zakres częstotliwości w procedurze demodulacji amplitudy w zastosowaniu do uszkodzeń lokalnych, Diagnostyka (Warszawa), 2006 nr 1, s. 141-150, 2006.
7.
COMBET F., GELMAN L., Optimal filtering of gear signals for early damage detection based on the spectral kurtosis, Mechanical Systems and Signal Processing, Vol. 23, Issue 3, April 2009, 652-668.
8.
BARSZCZ T., RANDALL R.B., Application of spectral kurtosis for detection of a tooth crack in the planetaty gear of a wind turbine, Mechanical Systems and Signal Processing, Vol. 23, Issue 4, May 2009, 1352-1365.
9.
WIENER N., Extrapolation, Interpolation and Smoothing of Stationary Time Series with Engineering Applications, MIT Press (1930/1949).
| eISSN: | 2353-5423 |
| ISSN: | 2300-9586 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
