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Switched interval system is a kind of special switched system whose parameter matrix changes in a limited and known range. Because switched property and interval matrix exist simultaneously, the structure of switched interval system is more complicated than common switched system. The fault detection problem is studied in this paper. The method of common lyapunov function is used under arbitrary switching...
In this paper, the fault detection and isolation problems (FDI) of heavy-haul trains equipped with electronically controlled pneumatic (ECP) brake system are studied. A longitudinal dynamical model and the fault modes of trains are considered. A fault detection estimator bases on the nonlinear observer is designed to generate residual for detecting fault. After the fault is detected, a group of fault...
For a class of linear time-varying system with non-uniform sample, we discrete the system by combination of both norm invariant and step invariant transformation, taking the problem of non-uniform sample transformed into discrete time varying system problem. Based on designed the fault estimator, we construct Lyapunov function, to get the essential condition of the error equation asymptotic stability...
A fault detection method based on empirical likelihood is presented to deal with the incipient fault in process and equipment. The problem of incipient fault detection is studied in the view of distribution test by a moving window approach. The original fault detection problem is transformed into distribution test, and a set of empirical likelihood values is computed. Based on the likelihood values,...
The traditional principal component analysis (PCA) method divides the variable space into two parts: Principal subspace and Residual subspace by orthogonal decomposition. It has been widely used in fault detection process, but it is difficult to interpret the modes of the fault because of model compound effect, and the ability to distinguish the pattern which is no significant is affected. In industrial...
In this paper a finite impulse response (FIR) filter for online adaptive modeling of satellite attitude control systems is proposed, and a recursive least squares (RLS) algorithm is used to adjust the adaptive FIR filter coefficients for minimizing the output error between the monitored system and the FIR filter. The fault information can be obtained through the analysis of the adaptive FIR filter...
In this paper, we consider the problems of fault detection for heavy-haul trains equipped with electronically controlled pneumatic (ECP) brake systems. A longitudinal dynamical model which has been successfully validated is used to simulate the actual situation. Based on the model, a set of unknown input observers which are adopted to estimate locomotives' state is constructed, and observers can determine...
The main contribution of this paper is the development of hybrid model predictive control and fault detection strategy for wind energy conversion system (WECS) based on mixed logic dynamic (MLD) model framework. The MLD model for WECS including multiple work regions is established. Also the hybrid model predictive control method based on the MLD model of WECS is adopted to implement the variable speed...
For the fault diagnosis problems of the underwater vehicle sensor systems, the solution is combined by the Principal Component Analysis (PCA) and Self-Organizing Fuzzy Cerebellar Model Articulation Controller (SOFCMAC). The signal prediction model approach based on PCA and SOFCMAC is proposed in this paper. According to the history data, it can predict the signal data in the future time using the...
The design of TS Fuzzy observer for disturbance rejection based on ℋ∞ optimization index is discussed in this paper. The disturbance rejection observer for Takagi-Sugeno (TS) fuzzy system is designed with weight function depending on immeasurable premise variables and the residual generated is robust to disturbances. The linear matrix inequalities (LMI) which will minimize the optimizing index has...
Fault detection for multi-mode process are becoming a hotspot. By effective mode division and accurate online identification, a multi-mode hybrid data set can be transformed into multiple single-mode data sets, then the traditional PCA-based approach can still be adopt to process monitoring. However, in the treatment of “fast response” multi-mode procedure, the above idea does not seem to apply, which...
The vibration signal of rolling bearings is always the mixed fault signal which is interfered by noise or mixed aliasing by different fault source, and analysis and fault feature extraction of the signal is difficult problem. Therefore, a mixed fault detection method based independent component analysis and Teager Energy Operator (TEO) demodulation (ICA-Teager) is proposed. Firstly, make the vibration...
As one of the most widely used parts and components of rotating machineries, fault detection of rolling bearing is of great significance. In this paper, a new method named EMD-DPCA is proposed based on Empirical Mode Decomposition (EMD) and Dynamic Principal Component Analysis (DPCA). Firstly, the vibration signals are decomposed by EMD and Intrinsic Mode Functions (IMFs) are achieved. Then DPCA model...
The paper combines kernel independent component analysis for establishing the fault detection model and the least squares support vector machine for establishing the fault diagnosis model to set up the industrial process monitor model as the growing difficult for the complex industrial process monitoring. It uses the data collected by the industrial process to extract the nonlinear independent component...
This paper is concerned with the design of an observer-based fault detection module for nonlinear rail vehicle suspension systems with the method of restructuring states and faults which can affect the system performance. An alarm signal will be sent by the designed observer if the residual evaluation is larger than a prescribed threshold when there are detectable actuator and sensor faults. The track...
The suspension system plays a crucial role of rail vehicles. The fault detection of the suspension system is an effective way to ensure the security, stable operation of rail vehicles. This paper concerns the fault detection issue of rail vehicle suspension systems with the extended form of Partial Least Squares(PLS), which is Multi-block Partial Least Squares (MBPLS). The signal information used...
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