TY - GEN
T1 - Filter-based FDD using PDFs for stochastic systems with time delays
AU - Zhang, Yu Min
AU - Guo, Lei
AU - Wang, Hong
PY - 2005
Y1 - 2005
N2 - In this paper, a fault detection and diagnosis (FDD) scheme is presented for general stochastic dynamic systems with time delays. Originated from some practical processes, it is supposed that the measured information is the probability density function (PDF) of the system output rather than its actual value, which is different from the classical FDD problem. A B-spline expansion technique is applied so that the output PDF can be formulated in terms of the dynamic weights of the B-spline expansion. This leads to a dynamic model between the input and the weights where nonlinearities, uncertainties and time delays are included. As a result, the concerned FDD problem is transformed into a classic nonlinear FDD problem subject to an uncertain nonlinear system with time delays. Feasible criteria to detect the system fault are obtained and an adaptive fault diagnosis method is further presented to produce an estimate of the size of fault. Simple simulations are given to demonstrate the efficiency of the proposed approach.
AB - In this paper, a fault detection and diagnosis (FDD) scheme is presented for general stochastic dynamic systems with time delays. Originated from some practical processes, it is supposed that the measured information is the probability density function (PDF) of the system output rather than its actual value, which is different from the classical FDD problem. A B-spline expansion technique is applied so that the output PDF can be formulated in terms of the dynamic weights of the B-spline expansion. This leads to a dynamic model between the input and the weights where nonlinearities, uncertainties and time delays are included. As a result, the concerned FDD problem is transformed into a classic nonlinear FDD problem subject to an uncertain nonlinear system with time delays. Feasible criteria to detect the system fault are obtained and an adaptive fault diagnosis method is further presented to produce an estimate of the size of fault. Simple simulations are given to demonstrate the efficiency of the proposed approach.
UR - https://www.scopus.com/pages/publications/23944450659
U2 - 10.1109/ACC.2005.1470206
DO - 10.1109/ACC.2005.1470206
M3 - 会议稿件
AN - SCOPUS:23944450659
SN - 0780390989
T3 - Proceedings of the American Control Conference
SP - 1660
EP - 1665
BT - Proceedings of the 2005 American Control Conference, ACC
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 American Control Conference, ACC 2005
Y2 - 8 June 2005 through 10 June 2005
ER -