Jinglin Zhou

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A new fault detection and diagnosis (FDD) algorithm for general nonlinear stochastic systems is proposed by using the optimal probability density function (PDF) tracking filtering. The fault is detected through a determinate threshold rather than an experiential threshold. Moreover, an adaptive fault diagnosis method is also provided to estimate the size of(More)
In this paper, a new filter-based method for fault detection and diagnosis (FDD) of linear singular stochastic distribution systems is presented. It is supposed that only the output probability density function (PDF) of the system is measured instead of the output signal itself. Linear B-spline expansions are adopted to decouple the input from the output(More)
In this work, a novel methodology of evaluating the glycan distribution has been proposed. A multivariate statistical regression method of partial least squares (PLS) is used to establish the relationship between the manipulated variables and the response variables. All the fitting relations are contained in the glycosylation process gain matrix K obtained(More)