in this paper, a fault diagnosis system based on discrete wavelet transform (dwt) and artificial neural networks (anns) is designed to diagnose different types of fault in gears. dwt is an advanced signal-processing technique for fault detection and identification. five features of wavelet transform rms, crest factor, kurtosis, standard deviation and skewness of discrete wavelet coefficients of...

The restricted earth fault (REF) relay is a type of differential protection which is used for detection of internal ground faults of power transformers. But, during external faults and transformer energization conditions, the probability of current transformer (CT) saturation increases. Thus, the spurious differential current due to CT saturation, can lead to REF relay maloperation. In this pap...

This paper presents a new method for on-board fault diagnosis for the air-path of spark ignition (SI) engines. The method uses an adaptive radial basis function (RBF) neural network to classify pre-defined possible faults from engine measurements to report the type and size of the fault. The RBF fault classifier adapts its widths and weights to model the time-varying dynamics of the engine and ...

Basal-plane stacking faults in wurtzite AlN, GaN, and InN are studied using density-functionalpseudopotential calculations. The formation energies follow the trend exhibited for the zinc-blende/wurtzite energy differences in the bulk materials, namely, lowest energy for GaN and highest for AlN. Type-I stacking faults have the lowest energy, followed by type-II stacking faults, and finally extri...

By simulating a multi-terminal high voltage DC grid using a detailed electro-magnetic transient simulation model, challenges in fault detection and discrimination are demonstrated. To select the most appropriate signal for fast and reliable detection of faults, behavior of the DC grid during the faults is observed by means of various terminal measurements. By simulating different scenarios, cha...

This paper presents a new approach for Loss of Excitation (LOE) faults detection in Hydrogenerators using Adaptive Neuro Fuzzy Inference System. The proposed scheme was trained by data from simulation of a 345kV system under various faults conditions and tested for different loading conditions. Details of the design process and the results of performance using the proposed technique are discuss...

Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...