In this paper, an effective procedure for broken rotor bar (BRB) fault detection in a three-phase squirrel-cage induction machine (SCIM) is proposed. This approach relies on motor current signature analysis (MCSA) by observing the specific fault-related component generated applying DC injection braking method. Unlike traditional MCSA, which commonly focused of BRB sidebands around fundamental c...

The die cast rotor bars in production squirrel cage induction motors (SCIMs) are easily subjected to porosity or other defects production, which considerably affects the motors’ reliability and efficiency operation. Planar flux sensing coils have been investigated for defect detection of SCIM rotor. However, these types sensors cannot accurately evaluate severity broken bar. This article develo...

High-efficiency motors are being gradually introduced in many industrial applications because of their positive impacts on the environment by reducing energy consumption and CO2 emission. In this respect, line start permanent magnet synchronous motors (LS-PMSMs) have been introduced recently. Due to their unique configuration, LS-PMSMs allow the obtaining of super premium efficiency levels, acc...

This paper presents the modeling and broken rotor bar fault diagnostics by time–frequency analysis of motor current under an extended startup transient time. The current-based nonstationary signal is retrieved investigated for its response to segregate faults spatial harmonics. For studying effect reduced voltage on various parameters theoretical definition patterns, winding function (WFA)-base...

In this paper, the giant magnetoresistance broken rotor (GBR) method is used to diagnose induction motor (IM) bar fault at an early stage from outward magnetic flux developed by IM.The field signal has anti-clockwise radiation due current.In acquired using a (GMR) sensor. GBR method, IM analysed with non-decimated wavelet transform (NDWT)-based signal. Experimental result shows difference in st...

Recently and due to the advances in sensor technology Internet-of-Things, operation of machinery can be monitored, using a higher number sources modalities. In this study, we demonstrate that Multi-Modal Translation is capable transferring knowledge from modality with level applicability (more usefulness solve an specific task) but lower accessibility (how easy affordable it collect information...