This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, flux linkage analysis is used to reach a decision. Probabilistic neural network (PNN) and discrete wavelet transform (DWT) are used in design of fault diagnosis system. PNN as main part of thi...

An accurate fault detection, classification and direction estimation of double end fed transmission lines based on application of artificial neural networks is presented in this paper. The proposed method uses the phase voltage and current available at only the local end of line. This method is adaptive to the variation of fault inception angle, fault location and high fault resistance. The alg...

This paper presents a generalized d-q model of nphase induction motor drive. Multi -phase (n-phase) induction motor (more than three phases) drives possess several advantages over conventional three-phase drives, such as reduced current/phase without increasing voltage/phase, lower torque pulsation, higher torque density, fault tolerance, stability, high efficiency and lower current ripple. Whe...

Modular multilevel converter (MMC) is a key device of high-voltage-direct circuit (HVDC) transmission system, the sub-module detection technology which will directly influence damage severity, and even reliability whole system. In this paper, open-circuit fault characteristics an insulated gate bipolar transistor (IGBT) in are analyzed, fault-tolerant optimal control strategy proposed for redun...

Testability analysis of basic and complex logic gates employing complementary pass transistor logic (CPL) under various single stuck faults is investigated. Results show that all stuck-on faults, bridging faults and more than 90% stuck-at faults in the basic CPL gates are only detectable by current monitoring generally known as IDDQ testing. It is also shown that all stuck-open faults in the ba...

This paper presents a modeling and analysis of multi-phase inverter fed multi-phase induction motor drive with different number of phases. Multiphase induction motor drives possess several advantages over conventional three-phase drives such as lower torque pulsation, fault tolerance, stability, high efficiency and lower current ripple and reduced current per phase without increasing voltage pe...

Introduction. The widespread use of photovoltaic systems in various applications has spotlighted the pressing requirement for reliability, efficiency and continuity service. main impediment to a more effective implementation been reliability power converters. Indeed, presence faults converters that can cause malfunctions system, which reduce its performance. Novelty. This paper presents techniq...

This paper introduces the application of Adaptive Neuro-Fuzzy Inference System (ANFIS) for fault classification in transmission lines. It will be addressed clearly in this paper. The ANFIS can be viewed either as a fuzzy system, a neural network or fuzzy neural network (|FNN). This paper is integrating the learning capabilities of neural network to the robustness of fuzzy logic systems in the s...

This paper extends the generalized parity vector approach for fault detection and isolation presented in Omana and Taylor [2], [3], [4], to achieve sensor accommodation. In this study, this fault detection, isolation and accommodation technique is applied to a two-phase separator followed by a three-phase gravity separator model used in oil production facilities. This model simulates a large sc...

Building efficient systems is one of the main challenges for software developers, who have been concerned with dependability-related issues as they built and deployed. Lots of changes often needs including the nature of faults and failures and the complexity of systems. Sometimes accepting minor errors always need efforts to eliminate faults that might cause them is in the core of dependability...