رسالة جامعية
Diagnóstico de falhas localizadas de rolamento em motores de indução trifásicos a partir de um modelo matemático ; Diagnosis of localized bearing faults in three-phase induction motors from a mathematical model
| العنوان: | Diagnóstico de falhas localizadas de rolamento em motores de indução trifásicos a partir de um modelo matemático ; Diagnosis of localized bearing faults in three-phase induction motors from a mathematical model |
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| المؤلفون: | Bianchini, Carolina Alves |
| المساهمون: | Castoldi, Marcelo Favoretto, orcid:0000-0001-6199-8327, http://lattes.cnpq.br/6178029384175205Test, Goedtel, Alessandro, http://lattes.cnpq.br/1920650157123774Test, Spatti, Danilo Hernane, http://lattes.cnpq.br/7371885828178292Test, Aguiar, Manoel Luis de, http://lattes.cnpq.br/5860694940411843Test, Souza, Wesley Angelino de, http://lattes.cnpq.br/8594457321079718Test |
| بيانات النشر: | Universidade Tecnológica Federal do Paraná Cornelio Procopio Brasil Programa de Pós-Graduação em Engenharia Elétrica UTFPR |
| سنة النشر: | 2023 |
| المجموعة: | Universidade Tecnológica Federal do Paraná (UTFPR): Repositório Institucional (RIUT) |
| مصطلحات موضوعية: | Motores elétricos de indução, Rolamentos, Padrões de produção, Electric motors, Induction, Bearings (Machinery), Production standards, CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA, Engenharia Elétrica |
| الوصف: | The wide use of three-phase induction motors (TIM) in various industry sectors encourages the search for techniques of monitoring and diagnosing defects in these machines to avoid production downtime and unforeseen maintenance. Among the TIM’s components with more occurrences of failures is the bearing, whose fault detection can be performed by analyzing the behavior of some motor variables, such as vibration and/or stator current, and its identification, using artificial intelligence. However, few studies on the modeling and simulation of these faults present a viable resource to cover several engines and specific operating conditions, such as different levels of loads and supplies. Therefore, this work aims to develop a model for TIM’s bearing failure simulations that provides current data of a stator phase to analyze this statistical features in the time and frequency domains. From information extracted from simulated and experimental current datasets of 1 and 2 HP motors, samples with 23 statistical attributes were submitted to unsupervised (Kohonen self-organizing network) and supervised classifications (Random Forest, k-Nearest Neighbors, Multilayer Perceptron and Support Vector Machine). The high accuracy rates and 𝐹1-score obtained in the classifications between healthy and faulty engines can validate the use of this artificial database linked to experimental observations in order to make the diagnosis of bearing failures currently performed more robust. In addition, the generated topological maps allow verifying the proximity between simulated and experimental samples when clusterized, given the similarity between their characteristics. To check the generalization of the proposed model, the supervised algorithms were also trained and tested with simulated data from different motor powers, along with the experimental samples of 1 and 2 HP engines, obtaining rates above 94,00%. ; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) ; A vasta utilização dos motores de indução trifásicos ... |
| نوع الوثيقة: | master thesis |
| وصف الملف: | application/pdf |
| اللغة: | Portuguese |
| العلاقة: | BIANCHINI, Carolina Alves. Diagnóstico de falhas localizadas de rolamento em motores de indução trifásicos a partir de um modelo matemático. 2023. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Tecnológica Federal do Paraná, Cornélio Procópio, 2023.; http://repositorio.utfpr.edu.br/jspui/handle/1/31011Test |
| الإتاحة: | http://repositorio.utfpr.edu.br/jspui/handle/1/31011Test |
| حقوق: | openAccess |
| رقم الانضمام: | edsbas.F6D80853 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |