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.
A stator winding fault in one phase of induction motor (IM) gives rise to higher harmonics distortion, increased torque ripple, temperature rise in the magnetic material, mechanical vibrations due to varying magnetic forces and magnetic noise. The fault leads to a change in the electromagnetic field generated in the motor as compared to the normal operation of motor. The copper losses generated in...
Too much dependence on large, polluting and expensive generation is no longer an option that Canadians would endorse in this era of distributed generation through renewable energy systems. Understanding the significance and prospects of self-excited induction generators (SEIGs) in distributed wind power generation, this paper presents an exclusive study of fault and a artificial neural network (ANN)...
This paper makes an effort to study the causes and effects of permanent magnet demagnetization in permanent magnet machines and hence proposes an exclusive artificial neural network (ANN) based permanent magnet demagnetization detection scheme. A laboratory 2.8 kW line-start permanent magnet synchronous machine (LSPMSM) is used in the numerical investigations for initiating permanent magnet demagnetization...
Understanding the need for improvement in monitoring and protection in high performance charging technology for a growing demand of EVs/PHEVs, this research manuscript presents a part of an ongoing project and proposes a novel low cost dual purpose triangular neural network based module for power quality monitoring and protection (M&P) and elicits its performance in times of abnormalities or malfunction...
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.