Giap Q. H. auteur aut IRD Ploix S. auteur aut IRD Adrot O. auteur aut IRD Depraetere Christian auteur aut IRD text journalArticle eng text/pdf born digital access This paper aims at designing a diagnosis tool to support experts for detecting and localizing faults in a network of rain gauges. This problem is presented in the context of human-machine cooperation. In this problem, it is impossible to model completely the whole expert knowledge about misbehavior. Diagnostic becomes a process where only a part of the expert knowledge is formalized, the remaining is kept implicit and is exploited gradually during the diagnostic process thanks to interactions with experts. At each step, the proposed diagnosis tool supports the expert by presenting selected data to be analyzed, i.e. rainfall hyetographs for a cluster of rain gauges for which the expert has to identify possible discrepancies. A fuzzy logic based diagnostic reasoning is then used because it proves to be more relevant to express the expert conclusions, which may be dubious. The way of handling such diagnosis processes is presented in this paper. specialized Fault diagnosis Diagnosis analysis Detection test design Symptom generation Fuzzy logic BENIN 122 062 126 020 36 99-113 2014 0952-1976 https://www.documentation.ird.fr/hor/fdi:010062679 10.1016/j.engappai.2014.07.002 0952-1976 [F B010062679] https://www.documentation.ird.fr/hor/fdi:010062679 https://www.documentation.ird.fr/intranet/publi/2014/12/010062679.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2015-01-12 2017-08-23 fdi:010062679 fre