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The design and development of a wide area protection and emergency control system for application in distribution networks of embedded generation is presented in this paper. The system developed consists of a central unit, and one local unit at each substation of a distribution network. It integrates the functions of monitoring, protection and control. The main control function of the system is to...
This paper proposes a new approach for detecting and isolating faults in a non-linear dynamic process using the multiple model approach. The necessary conditions for the assignability of eigenvalues to a region in the s-plane and the necessary conditions to guarantee the stability of fuzzy models for Takagi-Sugeno (T-S) fuzzy observers are derived. The paper is structured in two stages. The first...
This paper discusses an approach to robust control law design for fault-tolerant systems. Based on the assumption that the effects of faults can be expressed in Linear-Fractional-Transformation (LFT) forms, a fault-tolerant control systems design problem is formulated and solved via a linear matrix inequality (LMI)-based synthesis approach, to recover the convexity of the design problem whilst considering...
Developing a fault detection and diagnosis system of complex processes usually involve large volumes of highly correlated data. In the complex aluminium smelting process, there are difficulties in isolating historical data into different classes of faults for developing a fault diagnostic model. This paper presents a new application of using a data mining tool, k-means clustering in order to determine...
The paper presents an efficient approach for applied sensor fault detection based on an integration of principal component analysis (PCA) and artificial neural networks (ANNs). Specifically, PCA-based y-indices are introduced to measure the differences between groups of sensor readings in a time rolling window, and the relative merits of three types of ANNs are compared for operation classification...
A real-time process monitoring system for detecting faults within aluminium reduction cells is presented in this paper. This system is developed using an integration of MPCA and Euclidean distances. MPCA is used to detect the specific faults during process monitoring whereas dynamic Euclidean distances are used to diagnose the faults. Results from real-data analysis show that this approach is effective...
A parity space approach to fault detection by an optimal measurement selection is proposed for networked control systems (NCS). A distributed process, decomposed into p sub-processes with different sampling times, is modeled as a linear time-invariant discrete-time system by means of the lifting technique. In order to reduce the network load and data transmission cost, an optimal scheme, which manages...
Data mining has many topics such as classification, clustering, association, prediction, etc. Recently, classification problem is the research hotspot and decision tree is one of the most widely used classification methods, where C4.5 is one favorite algorithm. According to the disadvantages of conventional support vector machine (SVM), a SVM based decision tree (SVMDT) is introduced and modified...
The focus of this research was to design a framework to create highly autonomous fault-tolerant distributed sensor networks with plug-and-play capabilities. This would enable diagnosis of faulty sensors and reconfiguration of the network in real time to ensure that the control of the manufacturing process can continue with accurate information in presence of sensor and processing element faults. The...
Based on the achievable variance of the control outputs, a fault diagnosis of cascade control systems is developed. Without any prior knowledge of the complex operating processes and/or a prior external input to perturb the operating system, the accurate fault identification can be achieved by a series of the statistical hypothesis procedure that is applied to the current measured data. To isolate...
The IEEE 1451 standards family provides a set of common interfaces for connecting transducers to existing instrumentation and control networks. Currently IEEE 1451.5 is proposed to define the interface for wireless sensors to a system without a network connection. IEEE 1451.6 is also being defined for a network using a controller area network (CAN). As the IEEE 1451.5 and 1451.6 support both wired...
In this paper the results of current research into the state-of-the-art in predictive fault detection and diagnosis methods for railway line-side assets is presented. Research to date has mainly focussed on point machines, track circuits and level crossing systems. Within the paper it is demonstrated through the use of data collected from line-side equipment and lab-based test rigs that it is possible...
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