Sensor a fibra óptica para monitoração de mancais de hidrogeradores
This work aims to develop a fiber optic probe for temperature monitoring in bearings of generators hydro power plants. Graphic design, thermal modeling, assembly and testing process is presented. Once it is innovation, it is difficult to compare with other optical transducers developed specifically...
| Autor principal: | Dreyer, Uilian José |
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| Formato: | Dissertação |
| Idioma: | Português |
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Universidade Tecnológica Federal do Paraná
2014
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http://repositorio.utfpr.edu.br/jspui/handle/1/922 |
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riut-1-9222015-05-19T21:06:29Z Sensor a fibra óptica para monitoração de mancais de hidrogeradores Dreyer, Uilian José Silva, Jean Carlos Cardozo da Lourenço Junior, Ivo de Fibras ópticas Usinas hidrelétricas Detectores ópticos Redes de Bragg Optical fibers Hydroelectric power plants Optical detectors Bragg gratings This work aims to develop a fiber optic probe for temperature monitoring in bearings of generators hydro power plants. Graphic design, thermal modeling, assembly and testing process is presented. Once it is innovation, it is difficult to compare with other optical transducers developed specifically for monitoring temperature in bearing hydro generators. Initially experiments were performed with a prototype for determination of the thermal dynamics inside the bearings in various operating situations. From this measurement, an optical transducer was designed which was two optical fibers with 3 Bragg gratings recorded in each of them. These gratings are encapsulated by a rod made of alumina and covered with rings of material with good thermal conductivity where the Bragg grating is located, and low thermal conductivity in the remainder of the rod. The procedure for calibrating the Bragg gratings of the transducer consisted of steps of 10°C in the temperature range from 10°C to 80°C. Each temperature value remained stable during 20 min, allowing the mean wavelength reflected from each sensor might be estimated by a histogram. Were determined from the calibration the correlation coefficient and the coefficient of thermal sensitivity of each sensor, and the combined standard uncertainty thereof. The uncertainties were divided into two types: Type A uncertainties are related to the sample dispersion and are determined from the mean, variance and standard deviation of the samples taken during calibration, and type B where uncertainties are obtained from manuals and certificates of calibration. Tests were conducted in laboratory with the aim to submit the new transducer to large temperature variations, ranging between 15°C and 75°C and to check if the uncertainties corresponded in practice. The results presented the maximum error of about 0.9°C between the optical sensor and the reference sensor PT100. This result is within the range of uncertainty values calculated for the fiber optical fiber 2, uncertainty values of 0.98°C, 0.85°C to 0.71°C respectively for the FBG 1, 2 and 3 were observed. The development of this transducer enables the creation of new systems for monitoring temperature optical applicable in generators, as well as the interconnection of these systems to the future the total thermal mapping of a generator using optical sensing. CAPES Este trabalho tem como objetivo desenvolver um sensor a fibra óptica para a monitoração de temperatura em mancais de hidrogeradores de usinas hidrelétricas. Foi apresentado o projeto gráfico, modelagem térmica, processo de montagem e testes realizados. Por tratar-se de uma inovação, é difícil a comparação com outros sensores ópticos desenvolvidos especificamente para monitorar temperatura em mancais de hidro geradores. Inicialmente, foram realizados ensaios preliminares com um protótipo para determinação da dinâmica térmica no interior dos mancais em situações diversas de operação. A partir dessa medição, foi idealizado um sensor óptico que possui duas fibras ópticas, com 3 redes de Bragg gravadas em cada uma delas. Essas redes são encapsuladas por uma haste de alumina coberta com anéis de material com elevada condutividade térmica onde as redes de Bragg se localizam, e baixa condutividade térmica no restante da haste. O procedimento, para calibrar as redes de Bragg do sensor, consistiu em varias a temperatura em degraus de 10°C desde 10°C até 80°C. Cada valor de temperatura permaneceu estável durante 20min, permitindo que o comprimento de onda refletido de cada sensor pudesse ser estimado mediante um histograma. A partir da calibração foram determinados os coeficientes de correlação e o coeficiente de sensibilidade térmica de cada sensor, bem como a incerteza padrão combinada dos mesmos. As incertezas foram divididas em dois tipos, A e B. As incertezas do tipo A, são relativas à dispersão amostral e são determinadas a partir da média, variância e desvio padrão das amostras realizadas durante a calibração. As incertezas do tipo B são obtidas de manuais e certificados de calibração. Foram realizados testes em laboratório com o objetivo de submeter o novo sensor a grandes variações térmicas, entre 15°C e 75°C e checar se as incertezas determinadas correspondiam na prática. Os resultados obtidos apresentam erro máximo de aproximadamente 0,9°C entre o sensor óptico e o sensor de referência PT100. Esse resultado situa-se dentro da faixa de valores de incerteza calculada para os sensores da fibra óptica 1, respectivamente 1,7°C, 1°C e 0,7°C para os sensores 1, 2 e 3. Assim como para a fibra 2, foram observados os valores de incerteza de 0,98°C e 0,71°C respectivamente para as FBG 1, 2 e 3. O desenvolvimento deste sensor possibilita a criação de novos sistemas de monitoração de temperatura ópticos aplicáveis em geradores de grande porte, bem coma interligação destes sistemas visando no futuro o mapeamento térmico total de um gerador utilizando sensoriamento óptico. 5000 2014-08-18T22:31:58Z 2014-03-23 masterThesis DREYER, Uilian José. Sensor a fibra óptica para monitoração de mancais de hidrogeradores. 2014. 103 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Tecnológica Federal do Paraná, Pato Branco, 2014. http://repositorio.utfpr.edu.br/jspui/handle/1/922 por application/pdf Universidade Tecnológica Federal do Paraná Pato Branco Programa de Pós-Graduação em Engenharia Elétrica |
| institution |
Universidade Tecnológica Federal do Paraná |
| collection |
RIUT |
| language |
Português |
| topic |
Fibras ópticas Usinas hidrelétricas Detectores ópticos Redes de Bragg Optical fibers Hydroelectric power plants Optical detectors Bragg gratings |
| spellingShingle |
Fibras ópticas Usinas hidrelétricas Detectores ópticos Redes de Bragg Optical fibers Hydroelectric power plants Optical detectors Bragg gratings Dreyer, Uilian José Sensor a fibra óptica para monitoração de mancais de hidrogeradores |
| description |
This work aims to develop a fiber optic probe for temperature monitoring in bearings of generators hydro power plants. Graphic design, thermal modeling, assembly and testing process is presented. Once it is innovation, it is difficult to compare with other optical transducers developed specifically for monitoring temperature in bearing hydro generators. Initially experiments were performed with a prototype for determination of the thermal dynamics inside the bearings in various operating situations. From this measurement, an optical transducer was designed which was two optical fibers with 3 Bragg gratings recorded in each of them. These gratings are encapsulated by a rod made of alumina and covered with rings of material with good thermal conductivity where the Bragg grating is located, and low thermal conductivity in the remainder of the rod. The procedure for calibrating the Bragg gratings of the transducer consisted of steps of 10°C in the temperature range from 10°C to 80°C. Each temperature value remained stable during 20 min, allowing the mean wavelength reflected from each sensor might be estimated by a histogram. Were determined from the calibration the correlation coefficient and the coefficient of thermal sensitivity of each sensor, and the combined standard uncertainty thereof. The uncertainties were divided into two types: Type A uncertainties are related to the sample dispersion and are determined from the mean, variance and standard deviation of the samples taken during calibration, and type B where uncertainties are obtained from manuals and certificates of calibration. Tests were conducted in laboratory with the aim to submit the new transducer to large temperature variations, ranging between 15°C and 75°C and to check if the uncertainties corresponded in practice. The results presented the maximum error of about 0.9°C between the optical sensor and the reference sensor PT100. This result is within the range of uncertainty values calculated for the fiber optical fiber 2, uncertainty values of 0.98°C, 0.85°C to 0.71°C respectively for the FBG 1, 2 and 3 were observed. The development of this transducer enables the creation of new systems for monitoring temperature optical applicable in generators, as well as the interconnection of these systems to the future the total thermal mapping of a generator using optical sensing. |
| format |
Dissertação |
| author |
Dreyer, Uilian José |
| author_sort |
Dreyer, Uilian José |
| title |
Sensor a fibra óptica para monitoração de mancais de hidrogeradores |
| title_short |
Sensor a fibra óptica para monitoração de mancais de hidrogeradores |
| title_full |
Sensor a fibra óptica para monitoração de mancais de hidrogeradores |
| title_fullStr |
Sensor a fibra óptica para monitoração de mancais de hidrogeradores |
| title_full_unstemmed |
Sensor a fibra óptica para monitoração de mancais de hidrogeradores |
| title_sort |
sensor a fibra óptica para monitoração de mancais de hidrogeradores |
| publisher |
Universidade Tecnológica Federal do Paraná |
| publishDate |
2014 |
| citation |
DREYER, Uilian José. Sensor a fibra óptica para monitoração de mancais de hidrogeradores. 2014. 103 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Tecnológica Federal do Paraná, Pato Branco, 2014. |
| url |
http://repositorio.utfpr.edu.br/jspui/handle/1/922 |
| _version_ |
1805316183960846336 |
| score |
10,814766 |