TY - JOUR
T1 - Adaptive angular-velocity Vold-Kalman filter order tracking-Theoretical basis, numerical implementation and parameter investigation
AU - Pan, M. Ch
AU - Chu, W. Ch
AU - Le, Duc Do
N1 - Publisher Copyright:
© 2016 Elsevier Ltd.
PY - 2016/12/15
Y1 - 2016/12/15
N2 - The paper presents an alternative Vold-Kalman filter order tracking (VKF-OT) method, i.e. adaptive angular-velocity VKF-OT technique, to extract and characterize order components in an adaptive manner for the condition monitoring and fault diagnosis of rotary machinery. The order/spectral waveforms to be tracked can be recursively solved by using Kalman filter based on the one-step state prediction. The paper comprises theoretical derivation of computation scheme, numerical implementation, and parameter investigation. Comparisons of the adaptive VKF-OT scheme with two other ones are performed through processing synthetic signals of designated order components. Processing parameters such as the weighting factor and the correlation matrix of process noise, and data conditions like the sampling frequency, which influence tracking behavior, are explored. The merits such as adaptive processing nature and computation efficiency brought by the proposed scheme are addressed although the computation was performed in off-line conditions. The proposed scheme can simultaneously extract multiple spectral components, and effectively decouple close and crossing orders associated with multi-Axial reference rotating speeds.
AB - The paper presents an alternative Vold-Kalman filter order tracking (VKF-OT) method, i.e. adaptive angular-velocity VKF-OT technique, to extract and characterize order components in an adaptive manner for the condition monitoring and fault diagnosis of rotary machinery. The order/spectral waveforms to be tracked can be recursively solved by using Kalman filter based on the one-step state prediction. The paper comprises theoretical derivation of computation scheme, numerical implementation, and parameter investigation. Comparisons of the adaptive VKF-OT scheme with two other ones are performed through processing synthetic signals of designated order components. Processing parameters such as the weighting factor and the correlation matrix of process noise, and data conditions like the sampling frequency, which influence tracking behavior, are explored. The merits such as adaptive processing nature and computation efficiency brought by the proposed scheme are addressed although the computation was performed in off-line conditions. The proposed scheme can simultaneously extract multiple spectral components, and effectively decouple close and crossing orders associated with multi-Axial reference rotating speeds.
KW - Adaptive order tracking
KW - Parameter investigation
KW - Rotary machinery
UR - http://www.scopus.com/inward/record.url?scp=84979462367&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2016.03.013
DO - 10.1016/j.ymssp.2016.03.013
M3 - 期刊論文
AN - SCOPUS:84979462367
SN - 0888-3270
VL - 81
SP - 148
EP - 161
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
ER -