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This study focuses on an integrated software and hardware platform that is capable of performing (real-time/non-real-time) hardware-in-the-loop simulation of dynamic systems, including electrical machinery, CNC machine tools. In this approach, once the dynamics of the plant to be controlled is defined via C++ language, the resulting code is cross-compiled automatically on a PC. Executable files along...
In this paper, an enhanced velocity and acceleration estimation method is presented based on the discrete-time adaptive windowing technique that exclusively employs incremental optical position sensor readings. In a previous work proposed by, a first-order adaptive windowing method (FOAW) was shown to be optimal in the sense that it minimizes the velocity error variance while maximizing the accuracy...
The vulnerability is one of the most important concepts in network design. Vulnerability can be considered as the resistance of the network after any breakdown in its nodes or links. Since any network can be modelled by a graph, vulnerability parameters on graphs also work on network types. The vertices and the edges of a graph correspond to the processors and the links of the network, respectively...
In this study, the aim is to detect an induction motor's winding faults by using independent component analysis (ICA). Many laboratory experiments have been done on an induction motor to check the performance of the proposed method. The phase currents of the induction motor are used in the fault detection algorithm. The algorithm is implemente d by using MATLAB. The proposed method is compared to...
This work is about the possible effects of protection devices and schemes during current transformer saturation. If current transformer specifications are not selected properly, saturation may occur and affect relay response or even fail to trip. Hence, the performance of the protection devices such as differential and impedance relays is mainly based on the operating condition of the current transformers...
Traditionally discrete Fourier transform, wavelet techniques etc. are used for numerical transformer protection. In this study two different techniques are suggested for this purpose. The techniques so called dynamical principal component analysis (PCA) and independent component analysis (ICA) are investigated and compared to detect transformer internal faults. A three phase custom-built transformer...
In this work it is aimed to detect transformer internal fault and magnetizing inrush currents by using independent component analysis (ICA). A laboratory transformer is used for real-time experiments to examine the suggested technique. Laboratory experiments cover turn to turn faults performed in primary and secondary windings and inrush conditions. Differential (Id) and restraint (Ir) currents are...
A new fault detection and identification (FDI) scheme for transformer faults are suggested in this paper. The new method is based on fuzzy discrete event, from now FDES, composed from between a transformer's measured outputs and its faults. In the FDES, events and state membership functions take values between zero and one. All events occur at the same time with different membership degrees. The main...
Early detection and diagnosis of incipient faults is desirable for on-line condition assessment, product quality assurance and improved efficiency of induction motors running off power supply mains. In the applications of three-phase induction motors in industry, the inner faults may occur in their rotor and stator windings. These kinds of faults will make serious health problems on the motor. This...
In this paper; a method is proposed to detect parameter faults in nonlinear systems. The proposed method is called a dynamic principal component analysis approach. In this approach, the detection is based on the manipulation of input and output data without assuming any model for the system. The approach is based on the principal component analysis of the system input-output correlation data on a...
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