m doaei - Young Researchers and Elite Club, Shiraz Branch, Islamic Azad University, Shiraz, Iran
ms tavallali - Young Researchers and Elite Club, Shiraz Branch, Islamic Azad University, Shiraz, Iran
mm rasti - Technical Inspection Office, Fars Gas Company, Shiraz, Iran

One of the most important daily challenges of the gas distributing companies is the accurate screening of the faulty gas meters. Failing of which has caused serious financial shortcomings for these companies. In the present study, an intelligent method based on Support Vector Machine concept is suggested to simplify the aforementioned screening target. More than 140 number of gas meters in Shiraz are tested based on this novel idea, and the primary results are promising. It is expected that the suggested approach can be extended to address large size data

Gas meter screening, Artificial intelligence, Clustering, SVM, Fault detection