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.
Although induction motors are robust devices, faults may appear and so reliable and stable operation is required. More aspects need to be addressed nowadays in terms of condition monitoring. It is necessary to extract as much information as possible related to the overall motor condition and health. Also, different levels of diagnosis are required, as well necessity of detecting the fault level severity...
The reliable diagnostic of non-adjacent rotor bar breakages in induction motors based on the analysis of currents is still an unsolved industrial problem. The traditional MCSA has not proven to be robust enough for assessing the rotor condition under this situation; this is due to the fact that the joint effect of breakages located at certain relative positions can be subtractive rather than additive,...
Induction motors airgap-eccentricity fault detection has attracted the interest of many researchers in last decades. The Discrete Fourier Transform (DFT) has been widely used for that purpose. However, DFT can only give meaningful information for stationary signals. In this paper, an efficient time-domain technique based on a modified Prony's method for the airgap-eccentricity fault detection in induction...
This paper deals with a new on-line diagnostic scheme based on the use of the stator instantaneous complex apparent impedance signature analysis for stator winding inter-turn short-circuit faults diagnosis and their discrimination from the supply-voltage unbalance effects in operating three-phase squirrel cage induction motors. Both simulation and experimental results are presented to demonstrate...
This paper presents a new diagnostic method based on the induction motor three-phase power analysis that is able to detect gear broken teeth. A gearbox mathematical model was developed to simulate the healthy and the broken tooth conditions. The simulation and experimental tests proved that the wavelet and spectrum analysis of the induction motor (IM) three-phase power are valuable techniques to diagnose...
This paper deals with a new independent parameter diagnostic scheme based on the use of the stator instantaneous complex apparent impedance signature analysis for rotor cage faults diagnosis and their discrimination from mechanical load torque oscillation effects in operating three-phase squirrel cage induction motors. Both simulation and experimental results are presented to demonstrate the effectiveness...
This paper presents the results of an experimental study on derating of an induction motor under different voltage unbalanced conditions and its comparison with the NEMA standard MG1 voltage unbalance derating graph. During the derating tests the 4 kW squirrel cage induction motor temperature rise was kept constant at the rated value and the windings temperature was measured on-line by means of an...
The aim of this paper is to introduce the use of the instantaneous phase-angle signature analysis as a tool for the diagnostics of mixed airgap eccentricity in operating three-phase squirrel cage induction motors. Firstly, a modelling and simulation study concerning the occurrence of airgap eccentricity in three-phase induction motors is presented. For that purpose, the Winding Function Approach is...
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.