Abstract
This paper presents an approach to analyse different kinds of chemical processes instrumentation faults. The proposed approach makes a detection and diagnosis of the instrument worsening in the process. A chemical process model is used to show how the approach works, to differentiate valves and transmitter problems an analysis in the wavelet domain is presented along with pattern recognition procedures, such as correlation coefficient and Euclidean distance approaches.
| Translated title of the contribution | A proposal method for fault detection and diagnosis in chemical processes instrumentation using wavelet transform |
|---|---|
| Original language | Spanish |
| Pages (from-to) | 68-77 |
| Number of pages | 10 |
| Journal | Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia |
| Volume | 28 |
| Issue number | 1 |
| State | Published - Apr 2005 |
| Externally published | Yes |