High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters

The analysis of the periodic components in noise and vibration signals measured on rotating equipment such as car power trains, must be done more and more under rapid changes of an axle, or reference RPM. Normal tracking filters (analog or digital implementations) have limited resolution in such sit...

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Main Authors: Håvard Vold, Jan Leuridan
Format: Article
Language:English
Published: Wiley 1995-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.3233/SAV-1995-2609
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author Håvard Vold
Jan Leuridan
author_facet Håvard Vold
Jan Leuridan
author_sort Håvard Vold
collection DOAJ
description The analysis of the periodic components in noise and vibration signals measured on rotating equipment such as car power trains, must be done more and more under rapid changes of an axle, or reference RPM. Normal tracking filters (analog or digital implementations) have limited resolution in such situations; wavelet methods, even when applied after resampling the data to be proportional to an axle RPM, must compromise between time and frequency resolution. The authors propose the application of nonstationary Kalman filters for the tracking of periodic components in such noise and vibration signals. These filters are designed to accurately track signals with a known structure among noise and signal components of different, “unknown,” structure. The tracking characteristics of these filters, i.e., the predicted signal amplitude versus time values versus exact signal amplitude versus time values, can be tailored to accurate tracking of harmonics buried in other signal components and noise, even at high rates of change of the reference RPM. A key to the successful construction is the precise knowledge of the structure of the signal to be tracked. For signals that vary with an axle RPM, an accurate estimate of the instantaneous RPM is essential, and procedures to this end will also be presented.
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spelling doaj-art-2953d91b103b4735a1e33ce271a94ccb2025-08-20T02:03:53ZengWileyShock and Vibration1070-96221875-92031995-01-012650751510.3233/SAV-1995-2609High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking FiltersHåvard Vold0Jan Leuridan1Vold Solutions, P.O. Box 8286, Cincinnati, OH 45208-0286, USALMS International, Interleuvenlaan 68, 3001 Leuven, BelgiumThe analysis of the periodic components in noise and vibration signals measured on rotating equipment such as car power trains, must be done more and more under rapid changes of an axle, or reference RPM. Normal tracking filters (analog or digital implementations) have limited resolution in such situations; wavelet methods, even when applied after resampling the data to be proportional to an axle RPM, must compromise between time and frequency resolution. The authors propose the application of nonstationary Kalman filters for the tracking of periodic components in such noise and vibration signals. These filters are designed to accurately track signals with a known structure among noise and signal components of different, “unknown,” structure. The tracking characteristics of these filters, i.e., the predicted signal amplitude versus time values versus exact signal amplitude versus time values, can be tailored to accurate tracking of harmonics buried in other signal components and noise, even at high rates of change of the reference RPM. A key to the successful construction is the precise knowledge of the structure of the signal to be tracked. For signals that vary with an axle RPM, an accurate estimate of the instantaneous RPM is essential, and procedures to this end will also be presented.http://dx.doi.org/10.3233/SAV-1995-2609
spellingShingle Håvard Vold
Jan Leuridan
High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters
Shock and Vibration
title High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters
title_full High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters
title_fullStr High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters
title_full_unstemmed High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters
title_short High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters
title_sort high resolution order tracking at extreme slew rates using kalman tracking filters
url http://dx.doi.org/10.3233/SAV-1995-2609
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