A similarity-based framework for incipient fault detection in underground power cables

• The proposed method utilizes the direct features of electric arc. Our detects incipient fault considering minority and momentary features. Fault data are obtained from both simulation experimental recorded data. guarantees simplicity in implementation, speed, accuracy. It distinguishes transients such as inductive load change capacitor switching. discriminates harmonic load. Incipient faults known mainly occurring on junctions underground power cables. Clearing quickly, these difficult to detect by conventional protection equipment, leading insulation degradation permanent cable over time. In this paper, employing similarity functions, a new is put forward distinguish existing other similar events with high speed algorithm consists two-stages including detection, disturbance identification, detection. performs calculation voltage signal that at sending end line. cross-correlation function employed for identifying detection determining Afterward, using sinusoidal curve fitting, can sudden change, switching, accuracy approach verified some 6272 four types well-known arc models, also variations.