ADAPTIVE ANGULAR-VELOCITY VOLD-KALMAN ORDER TRACKING USED IN CHARACTERIZING DYNAMIC SIGNALS MEASURED FROM ROTARY MACHINES

摘要

In this paper we propose and implement an order tracking (OT) technique evaluating in an adaptive manner for signal interpretation and diagnosis of rotary machinery during operation. The paper comprises theoretical derivation, numerical implementation and experimental justification. Comparisons of the adaptive Vold-Kalman filtering OT (VKF-OT) scheme to its conventional form are made through synthetic signal processing. Parameters such as the weighting factor, Q_1 parameter, sampling frequency and process noise, which influence tracking performance, are investigated. Moreover, this adaptive OT scheme can be computed on-line and implemented as a real-time processing application.