Detección y diagnóstico de fallos múltiples en sistemas dinámicos usando análisis de componentes principales no lineal y residuos estructurados
- Autores: Amilcar Alejandro Rincón Charris
- Directores de la Tesis: Joseba Jokin Quevedo Casin (dir. tes.)
- Lectura: En la Universitat Politècnica de Catalunya (UPC) ( España ) en 2015
- Idioma: español
- Tribunal Calificador de la Tesis: Teresa Escobet (presid.), Joaquim Armengol Llobet (secret.), Emilio García Moreno (voc.)
- Materias:
- Enlaces
- Tesis en acceso abierto en: TDX
- Resumen
In recent years the detection and diagnosis of faults in devices and processes has been a field of research and development that has been addressed from multiple perspectives: control engineering, artificial intelligence and statistics among others. Within each with a number of techniques: expert systems , neural networks, case-based reasoning , signal analysis, observers equations analytical redundancy based on consistency, but only considering the presence of multiple failures and no diagnosis. In this thesis the detection and diagnosis of multiple faults in dynamic systems using nonlinear analysis for the detection and diagnosis for structured waste components will be studied. The study includes the development of a mathematical model of a gas turbine mini SR -30 and implementation of algorithms for detection and diagnosis of multiple faults in the system. The detection and diagnosis of multiple faults is more complex than the detection and diagnosis of single faults. This is not only because it increases the number of failures, but also because of the emergence of new phenomena that should be considered, such as a combination or interaction of faults, compensation, and the combinatorial explosion of possible failure scenarios. The problem of multiple failures is important, since the single fault assumption can lead to incorrect diagnoses when multiple faults occur.
