Abstract Model-based methods are widely used for the fault diagnosis of stochastic dynamic
systems by simply using the input–output relationship of the system. Despite encouraging …

Fault diagnosis plays a vital role in ensuring safe and efficient operation of modern process
plants. Despite the encouraging progress in its research, develo** a reliable and …

Sensor fault detection and isolation (SFDI) is a fundamental topic in unmanned aerial
vehicle (UAV) development, where attitude estimation plays a key role in flight control …

This paper presents the development of a particle filtering (PF) based method for fault
detection and isolation (FDI) in stochastic nonlinear dynamic systems. The FDI problem is …

A novel fault detection (FD) method for nonlinear systems using the residuals generated by
the unscented Kalman filter (UKF) is proposed. The errors of the UKF are derived and …

Leak detection and location play an important role in the management of a pipeline system.
Some model-based methods, such as those based on the extended Kalman filter (EKF) or …

A novel model-based algorithm for fault detection and isolation (FDI) in stochastic non-linear
systems is proposed. The algorithm monitors changes in the process behavior and identifies …

In this paper, a dual estimation methodology is developed for both time-varying parameters
and states of a nonlinear stochastic system based on the particle filtering scheme. Our …

In this thesis we consider recursive Bayesian estimation in general, and sequential Monte
Carlo filters in particular, applied to integrated navigation. Based on a large number of …

对基于解析模型的非线性系统故障诊断方法进行了综述. 基于解析模型的非线性故障诊断方法
主要包括4 大类: 基于非线性观测器的方法, 基于滤波器的方法, 微分几何方法和自适应学**方法 …