D Technologies (ICTS), S Paulo State University (UNESP), Sorocaba 18087-180, SP
D Technology (ICTS), S Paulo State University (UNESP), Sorocaba 18087-180, SP, Brazil; [email protected] Correspondence: [email protected] Presented in the 8th International Electronic Conference on Sensors and Applications, 15 November 2021; Accessible on line: https://ecsa-8.sciforum.net. These authors contributed equally to this operate.Citation: Lucas, G.B.; de Castr, B.A.; Serni, P.J.A.; Riehl, R.R.; Andreoli, A.L. Sensors Applied to bearing Fault Detection in Three-Phase Induction Motors. Eng. Proc. 2021, 10, 40. https://doi.org/10.3390/ecsa-8-11319 Academic Editor: Francisco Falcone Published: 1 November 2021 Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.Abstract: Three-Phase Induction Motors (TIMs) are extensively applied in industries. Sutezolid Cancer Consequently, there’s a have to have to cut down operational and upkeep charges considering that their stoppages can impair production lines and result in monetary losses. Among each of the TIM components, -Irofulven DNA Alkylator/Crosslinker,Apoptosis bearings are critical inside the machine operation after they couple rotor for the motor frame. Furthermore, they may be continually subjected to friction and mechanical wearing. Consequently, they represent around 41 of your motor fault, in line with IEEE. In this context, quite a few research have sought to develop monitoring systems based on distinctive forms of sensors. For that reason, contemplating the higher demand, this article aims to present the state on the art of your previous 5 years regarding the sensing tactics based on existing, vibration, and infra-red evaluation, that are characterized as promising tools to perform bearing fault detection. The current and vibration analysis are highly effective tools to assess damages within the inner race, outer race, cages, and rolling elements in the bearings. These sensing tactics use existing sensors like hall effect-based, Rogowski coils, and existing transformers, or vibration sensors including accelerometers. The effectiveness of these tactics is as a result of previously created models, which relate the current and vibration frequencies towards the origin of your fault. Consequently, this short article also presents the bearing fault mathematical modeling for these tactics. The infra-red method is determined by heat emission, and several image processing techniques were developed to optimize bearing fault detection, which can be presented within this critique. Lastly, this operate is often a contribution to pushing the frontiers of the bearing fault diagnosis area. Keywords: bearing fault; induction motors; fault detection; review1. Introduction Nowadays, the improvement of monitoring systems applied to electrical machines is often a challenge for market and science. The objective is to avoid stoppages in industrial processes with punctual and planned maintenance. In this context, Three-Phase Induction Motors (TIMs) are the principal concentrate of upkeep plans because they may be broadly applied as a mechanical source within the industrial approach [1]. Among all TIMs elements, bearings are crucial inside the machine operation after they permit the rotary motion of your rotor whilst keeping it fixed towards the motor structure. As a result of their higher degree of mobility, they are topic to diverse varieties of mechanical flaws [1,two,5]. According to [6], the TIM failures may be distributed inside the bearings, rotor, stator, shaft coupling, external circumstances, along with other types of fault. Charts prove that the bearings are the elements with all the highest fault percentage (41 ) in induction motors (Figur.
