Desenvolvimento de um sistema de Calibração assistida por computador Para instrumentos de medição de Temperatura e pressão em estações de Medição de gás natural

• Ano de defesa: 2015
• Autor(a) principal: Maia, Gerizaldo Cavalcanti Gomes
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Engenharia Mecânica; Programa de Pós-Graduação em Engenharia Mecânica; UFPB
• Palavras-chave em Português: Sistema de calibração; Gás natural; Temperatura; Temperature; Natural gas; Calibration system; ENGENHARIAS::ENGENHARIA MECANICA
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/8974

The present work objectives were developing a computer-aided system for pressure and temperature measuring instruments calibration. This system's focus was easing the work of personnel involved in calibration operations in natural gas measuring stations by automatic filling of instruments identification data through automatic selection, being requested to the user only the insertion of measurements obtained by standard instrument and the calibrated instrument throughout the measuring range. The sources of uncertainty type B, obtained from the characteristics of the instruments used during the calibration process and the calibration history are automatically determined from a query to the database. The type B calibration uncertainty, which is the result of combining all the type B uncertainty sources, is combined with the type A uncertainty obtained by statistical analysis of the residuals of the best fit linear function between the measurement instrument to be calibrated and their true conventional values. The final results of the process, which are automatically reported in output calibration report, are the linear coefficients of best fit function and the confidence interval associated with this adjustment, which is combined with the type B uncertainty, related to a confidence level set. Furthermore, other information presented are operating parameters such as calibration date, equipment used, detected nonconformities, among other information stored for further query and analysis.