Induction Motors (IMs) have multiple advantages, as they are robust and easy to maintain. A small fault in a single rotor bar could cause the break of this bar, subsequently breaking a large adjacent bar number because of the oscillations created by the unbalance of the rotor. For this reason, early detection of any small failure is recommended to remove some posterior damage and the maintenance expenses. This work proposes a new and original method that uses the cyclostationnarity of the electrical signal instead of the vibratory signal to detect the incipient failure. The experimental data has been manipulated. The results prove that this new designed strategy can identify and classify the level of cracking that occurs in a single rotor bar, even under various loads.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280387 | PMC |
http://dx.doi.org/10.1016/j.heliyon.2022.e09136 | DOI Listing |
Sensors (Basel)
January 2025
Institute for Energy Engineering, Universitat Politècnica de València, Camino. de Vera s/n, 46022 Valencia, Spain.
Induction motors are essential components in industry due to their efficiency and cost-effectiveness. This study presents an innovative methodology for automatic fault detection by analyzing images generated from the Fourier spectra of current signals using deep learning techniques. A new preprocessing technique incorporating a distinctive background to enhance spectral feature learning is proposed, enabling the detection of four types of faults: healthy motor coupled to a generator with a broken bar (HGB), broken rotor bar (BRB), race bearing fault (RBF), and bearing ball fault (BBF).
View Article and Find Full Text PDFRev Sci Instrum
January 2025
Department of Mechatronics and Mechanical Systems Engineering, University of São Paulo, São Paulo, SP 05508-030, Brazil.
Labyrinth seals (LSs) in turbomachinery are used to minimize leaks. This study presents an experimental setup designed to test and validate LS designs. The test bench (TB) described in this paper can evaluate different LS designs obtained through various methods to find better solutions to mitigate greenhouse gas (GHG) emissions.
View Article and Find Full Text PDFFood Sci Nutr
November 2024
Department of Food Engineering, Faculty of Engineering Adana Alparslan Turkes Science and Technology University Adana Turkey.
This study aims to evaluate homogenization techniques and conditions for producing stable, small droplet-size water-in-oil (W/O) emulsions intended for incorporation into casein hydrolysate-loaded double emulsions. Three commonly used homogenization methods; rotor-stator, ultrasonic, and high-pressure homogenization were individually optimized utilizing response surface methodology. Instances of over-processing were observed, particularly with the rotor-stator and ultrasonic homogenizers under specific conditions.
View Article and Find Full Text PDFSensors (Basel)
August 2024
Department of Electrical and Computer Engineering, Lakehead University, GC Campus, Barrie, ON L4M 3X9, Canada.
Induction machines (IMs) are commonly used in various industrial sectors. It is essential to recognize IM defects at their earliest stage so as to prevent machine performance degradation and improve production quality and safety. This work will focus on IM broken rotor bar (BRB) fault detection, as BRB fault could generate extra heating, vibration, acoustic noise, or even sparks in IMs.
View Article and Find Full Text PDFSensors (Basel)
May 2024
Faculty of Mechanical and Electrical Engineering Polish Naval Academy, ul. Smidowicza 69, 81-127 Gdynia, Poland.
This paper investigates the detection of broken rotor bar in squirrel cage induction motors using a novel approach of randomly positioning a triaxial sensor over the motor surface. This study is conducted on two motors under laboratory conditions, where one motor is kept in a healthy state, and the other is subjected to a broken rotor bar (BRB) fault. The induced electromotive force of the triaxial coils, recorded over ten days with 100 measurements per day, is statistically analyzed.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!