| Título: | A Novel Sensor Fault Detection Method |
| Autores: |
Yongqi, Chen; Ningbo University Yiming, Zhao; Ningbo University |
| Fecha: | 2013-07-03 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | Fault Detection; Least squares; Interval regression |
| Descripción: | To detect the sensor faults of the plant with min-disturbance, a weighted least squares interval regression model is proposed. The output of the proposed model is an interval band which can resist the disturbance influence and give correct sensor fault alarm. Additionally, the time complexity of this model is low because only a set of linear equations can determine the parameters. The experiments of fault instance demonstrate the feasibility and effectiveness of the interval regression model. |
| Idioma: | Inglés |