Fault analysis is necessary to design a protection system and circuit breakers for power network. The multiphase new technology so very little work found the fault of contrary, unlike three-phase system. faults in seven-phase may be either symmetrical or non-symmetrical. A non-symmetrical requires studying sequence components using Fortescue transformation. In paper, has been analysed. For this...

In this paper, a robust algorithm for fault diagnosis of power system equipment based on a Failure-Sensitive Matrix (FSM) is presented. FSM is a dynamic matrix structure updated by multiple measurements (on-line) and test results (off-line) on the systems. The algorithm uses many different artificial intelligence (AI) and expert system (ES) methods for detecting the location of faults, emerging...

Online monitoring of dissolved fault characteristic hydrocarbon gases, such as methane, ethane, ethylene and acetylene in power transformer oil has significant meaning for condition assessment of transformer. Recently, semiconductor tin oxide based gas sensor array has been widely applied in online monitoring apparatus, while cross sensitivity of the gas sensor array is inevitable due to same c...

Abstract Considering the nonlinear and non-stationary characteristics of transformer vibration acceleration signal obtained from surface tank, variational mode decomposition (VMD) theory is introduced. Simulation analysis shows that VMD has obvious advantages over EMD when needle frequency similar to signal. It effectively avoids two types modal aliasing over-decomposition, accurately reflects ...

One of transient phenomenon that causes the mal-operation of the power transformer differential protection during the energization of a loaded power transformer is the ultra-saturation phenomenon. In this paper, a new model for investigating the ultra-saturation phenomenon during the energization of a loaded power transformer is presented and its effect on the differential protection of the pow...

Automatic seismic fault identification for data is essential oil and gas resource exploration. The traditional manual method cannot accommodate the needs of processing massive data. With development artificial intelligence technology, deep learning techniques based on pattern recognition have become a popular research area identification. Despite progress made with U-shaped neural networks (Une...