TY - JOUR
T1 - Estimation of railway vehicle suspension parameters for condition monitoring
AU - Li, Ping
AU - Goodall, Roger
AU - Weston, Paul
AU - Seng Ling, Chung
AU - Goodman, Colin
AU - Roberts, Clive
PY - 2007/1
Y1 - 2007/1
N2 - This paper investigates the problem of parameter estimation for railway vehicle suspensions so as to provide information to support condition-based (instead of calendar-based) maintenance. A simplified plan view railway vehicle dynamical model is derived and a newly developed Rao-Blackwellized particle filter (RBPF) based method is used for parameter estimation. Computer simulations are carried out to assess and compare the performance of parameter estimation with different sensor configurations as well as the robustness with respect to the uncertainty in the statistics of the random track inputs. The method is then verified practically using real test data from a Coradia Class 175 railway vehicle with only bogie and body mounted sensors, and some preliminary results are presented.
AB - This paper investigates the problem of parameter estimation for railway vehicle suspensions so as to provide information to support condition-based (instead of calendar-based) maintenance. A simplified plan view railway vehicle dynamical model is derived and a newly developed Rao-Blackwellized particle filter (RBPF) based method is used for parameter estimation. Computer simulations are carried out to assess and compare the performance of parameter estimation with different sensor configurations as well as the robustness with respect to the uncertainty in the statistics of the random track inputs. The method is then verified practically using real test data from a Coradia Class 175 railway vehicle with only bogie and body mounted sensors, and some preliminary results are presented.
KW - Condition monitoring
KW - Extended Kalman filter
KW - Parameter estimation
KW - Railway vehicle dynamical modelling
KW - Rao-Blackwellized particle filter
UR - http://www.scopus.com/inward/record.url?scp=33748470810&partnerID=8YFLogxK
U2 - 10.1016/j.conengprac.2006.02.021
DO - 10.1016/j.conengprac.2006.02.021
M3 - Article
AN - SCOPUS:33748470810
VL - 15
SP - 43
EP - 55
JO - Control Engineering Practice
JF - Control Engineering Practice
SN - 0967-0661
IS - 1
ER -