Smart monitoring and fault diagnosis of joints in high voltage electrical transmission lines

In this paper an original approach and a theoretical method, based on techniques of Frequency Response Analysis (FRA), soft computing and machine learning, are described for the continuous monitoring, prognosis and fault diagnosis of the various joint regions of overhead lines for power transmission. The proposed procedure can be considered an intelligent measurement module, where a single measurement can be used by a neural processor to extract important information for the diagnosis of a complex electrical system.