The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents, an Electro-Mechanical Actuator (EMA) based position control system with redundancy technique is being presented. The servo system is composed of two chains, a prime chain and a redundant chain, which includes the position servo system of the EMA. Only one chain works at a time, probably the main chain operates during normal condition of the system. A new, simpler fault detection...
A method for the fault diagnosis of a broken rotor bar in induction motor is presented. The method is based on the analysis of the magnetic flux of three-phase Induction motor. The purpose of this paper is the analysis of the inverter fed induction machine with broken rotor for diagnostic purposes. The features of magnetic flux of healthy conditions of a three phase induction motor are compared with...
Cryptography plays an important role in the security of data transmission. The Advanced Encryption Standard (AES) is the newly accepted symmetric cryptography standard for transferring block of data securely. However, the faults that accidently or maliciously occur in the hardware implementation of this standard may cause erroneous encrypted/decrypted output that results in losing the original message...
This paper presents a new approach for power system fault classification based on principal component analysis (PCA) and probabilistic neural network (PNN).the work presented in this paper is focused on identification of simple power system faults. The new model mainly includes three steps. Firstly wavelet transform is used to analyze power system fault signals, and distinguishing features are extracted...
In this paper the capability of Relevance Vector Machines to perform multiclass classification has been illustrated. It has been demonstrated how faults in an analog circuit can be diagnosed by analyzing these faults as a multiclass machine learning problem. A simple first order Op-amp RC circuit validates our methodology which can be further applied to more complex analog circuits employing a larger...
Transmission line protection is an important issue in power system engineering because 85-87% of power system faults are occurring in transmission lines. This paper presents a technique to detect and classify the different shunt faults on a transmission lines for quick and reliable operation of protection schemes. Discrimination among different types of faults on the transmission lines is achieved...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.