Failure detection and isolation in a urban rain gauge network
Résumé
Considering the great importance of sensor data in the study of environmental systems, efforts are focused on the validation problem. Although off-line sensor data validation is necessary for providing validated database to the end user, on-line failure detection and isolation (FDI) is essential for reliable system monitoring and management. Thus paper thus investigates the possibility of implementing on-line FDI techniques for monitoring an urban rain gauge network. A quantitative model-based approach is presented and the basis of a FDI scheme is described. Analytical middles between sensors are designed and involved in the generation of failure sensitive signals. These signals are the evaluated in order to detect failure occurrences, isolate the faulty sensors and generate alarms for monitoring operators. Results obtained with actual homogeneous rainfall data are provided as illustrations.