Cleber Gustavo Dias
CV Lattes
Universidade Nove de Julho (UNINOVE). Campus Vergueiro (Institutional affiliation for the last research proposal) Birthplace: Brazil
graduate at Engenharia Elétrica from Universidade Estadual Paulista Júlio de Mesquita Filho (1996), master's at Engenharia Industrial from Universidade Estadual Paulista Júlio de Mesquita Filho (2001) and ph.d. at Engenharia Elétrica from Escola Politécnica da Universidade de São Paulo (2006). Has experience in Computer Science, focusing on Computer Science, acting on the following subjects: software, induction machines, motor, broken bars and falhas. (Source: Lattes Curriculum)
- Intelligent system applied to load torque and efficiency estimation in three-phase induction motors, AP.R
Abstract
Three-phase induction motors (MIT) with squirrel cage rotor still figure as the main electrical machines in the industrial environment. Such equipment is widely used in a wide variety of applications, and is often operated under low load conditions, i.e., undersized, or even above the manufacturer specifications, thus oversized. In the last decades, numerous works have been devoted to ...
- Diagnosis of broken bars in squirrel cage induction motors using intelligent techniques, AP.R
Abstract
Three phase induction motors, particularly those with a squirrel cage rotor, are widely used in Brazil and around the world, as a main driving force for industrial machines, among others. A relevant fault is associated with an improper operation of these motors, such as the broken bars that is related to the rotor cage in the connection with the end-ring. Over the past decades, many wor...
| 1 / 1 | Ongoing research grants |
| 1 / 1 | Completed research grants |
| 1 / 0 | Completed scholarships in Brazil |
| 3 / 2 | All research grants and scholarships |
| Associated processes | |
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
| Publications | 4 |
| Citations | 7 |
| Cit./Article | 1.8 |
| Data from Web of Science | |
DIAS, CLEBER GUSTAVO; DA SILVA, LUIZ CARLOS; CHABU, IVAN EDUARDO. Fuzzy-Based Statistical Feature Extraction for Detecting Broken Rotor Bars in Line-Fed and Inverter-Fed Induction Motors. ENERGIES, v. 12, n. 12, JUN 2 2019. Web of Science Citations: 0. (16/02525-1, 18/05214-2)
DIAS, CLEBER GUSTAVO; DA SILVA, LUIZ CARLOS; LUZ ALVES, WONDER ALEXANDRE. A Histogram of Oriented Gradients Approach for Detecting Broken Bars in Squirrel-Cage Induction Motors. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, v. 69, n. 9, p. 6968-6981, SEPT 2020. Web of Science Citations: 0. (16/02547-5, 16/02525-1, 18/05214-2)
DIAS, CLEBER GUSTAVO; DE SOUSA, CRISTIANO MORAIS. A Neuro-Fuzzy Approach for Locating Broken Rotor Bars in Induction Motors at Very Low Slip. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, v. 29, n. 4, p. 489-499, AUG 2018. Web of Science Citations: 1. (16/02525-1)
DIAS, CLEBER GUSTAVO; PEREIRA, FABIO HENRIQUE. Broken Rotor Bars Detection in Induction Motors Running at Very Low Slip Using a Hall Effect Sensor. IEEE SENSORS JOURNAL, v. 18, n. 11, p. 4602-4613, JUN 1 2018. Web of Science Citations: 6. (16/02525-1)
(References retrieved automatically from State of São Paulo Research Institutions)
DIAS, Cleber Gustavo. Desenvolvimento de um modelo matemático para estimar elevação de temperatura no estator de motores de indução usando redes neurais artificiais. 135 f. Dissertação (Mestrado) - Universidade Estadual Paulista "Júlio de Mesquita Filho" Faculdade de Engenharia (Campus de Bauru). Bauru. (99/01198-0)