Abstract - Use of efficient signal processing tools (SPTs) to extract proper indices for fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The Part1 of the two parts paper focuses on Fourier-based techniques including fast Fourier transform and short time Fourier transform. In this paper, all utilized SPTs which have been employed for fault fete...

In this paper, we propose a new method of differential fault analysis of SHA-3 which is based on the differential relations of the algorithm. Employing those differential relations in the fault analysis of SHA-3 gives new features to the proposed attacks, e.g., the high probability of fault detection and the possibility of re-checking initial faults and the possibility to recover internal state...

On the basis of analyzing high-voltage direct current (HVDC) transmission system and its fault superimposed circuit, the direction of the fault components of the voltage and the current measured at one end of transmission line is certified to be different for internal faults and external faults. As an estimate of the differences between two signals, relative entropy is an effective parameter fo...

This work exploits internal differentials within a cipher in the context of Differential Fault Analysis (DFA). This in turn overcomes the nonce barrier which acts as a natural counter-measure against DFA. We introduce the concept of internal differential fault analysis which requires only one faulty ciphertext. In particular, the analysis is applicable to parallelizable ciphers that use the cou...

This paper describes a new Artificial Neural Network (ANN) based digital differential protection scheme for generator stator winding protection. The scheme includes two Feedforward Neural Networks (FNNs). One ANN is used for fault detection and the other is used for internal fault classification. This design uses current samples from the line-side and the neutral-end in addition to samples from...

A new approach for protection of power transformer is presented using a time-frequency transform known as Wavelet transform. Different operating conditions such as inrush, Normal, load, External fault and internal fault current are sampled and processed to obtain wavelet coefficients. Different Operating conditions provide variation in wavelet coefficients. Features like energy and Standard dev...

We apply a symmetry-based, statistical method for kine­ matic analysis of mesoscale fault-zone structures to resolve the trans­ port directions for the Rosario fault zone and Lopez StructuralCom­ plex in the San Juan Islands. Both moderately dipping fault zones accommodated large amounts of Late Cretaceous slip ( > 30 km), but the transport direction of nappes overlying these fault zones is con...

This paper presents an efficient wavelet and neural network (WNN) based approach for distinguishing magnetizing inrush currents from internal fault currents in three phase power transformers. The wavelet transform is applied first to decompose the current signals of the power transformer into a series of detailed wavelet components. The values of the detailed coefficients obtained can discrimin...

Condition monitoring and protection methods based on the analysis of the machine's current are widely used according to non-invasive characteristics of current transformers. It should be noted that, these sensors are installed by default in the machine control center. On the other hand, condition monitoring based on mathematical methods has been proposed in literature. However, they are model b...