Study on the fault diagnosis method through the combination of decision classification algorithms and expert system. The method of extracting diagnosis rules with the CTree software was given, and a fault diagnosis system based on CLIPS was developed. In order to verify the feasibility of the method, at first the sample data was got through the simulations under fault of direct-drive wind turbi...

The design of a fault tolerant system would be enhanced if a rapid prototyping approach could be conceived which allows fault tolerance to be modelled quickly, and faults simulated to analyse the behaviour of the system. This paper concentrates on how a functional specification language, and its environment, can be used to describe and investigate the properties of parallel fault tolerant syste...

This paper has made a qualitative and quantitative analysis by establishing the tunnel fault tree and giving the minimal cut sets of the faults in tunnel, and tested the data in tunnel combined with artificial neural network. The fault detection mechanism in this article has been simulated by MatLab and processed a lot of the actual data through the tunnel operating history. Experimental result...

In this paper a complete analysis of spot defects in industrial S R A M s will be presented. All possible defects are simulated, and the resulting electrical faults are transformed into functional fault models. The existence of the usually used theoretical memory fault models will be verified and new on,es will be presented. Finally, a new march test detecting all realistic faults, with a test ...

In this paper we propose the first practical fault attack on the time redundancy countermeasure for AES using a biased fault model. We develop a scheme to show the effectiveness of a biased fault model in the analysis of the time redundancy countermeasure. Our attack requires only faulty ciphertexts and does not assume strong adversarial powers. We successfully demonstrate our attack on simulat...

This paper focuses on the identification of high-efficiency intensity measures to predict seismic response buildings affected by near- and far-fault ground motion records. Near-fault has received special attention, as it tends increase expected damage civil structures compared that from ruptures originating further afield. In order verify this tendency, nonlinear dynamic 3D multi-degree-of-free...

This paper presents a novel approach for fault location in distribution system using neural network. The voltage and current in the instance of fault are used for training. Different faults are simulated in a specific feeder by PSCAD software. The MATLAB and EMTDC are used for simulation in this work. The results of case studies show the capability of neural networks in fault location with negl...

This paper proposes a novel fault-propagation pattern based differential fault analysis method FPP-DFA, and proves its feasibility on SPN structure block ciphers using bitwise permutation, such as PRESENT and PRINTcipher. Simulated experiments demonstrate that, with the fault model of injecting one nibble fault into the r-2 round substitution layer, on average 8 and 16 faulty samples can reduce...

current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. application of the intelligent system for fault direction classification has been suggested in this paper. a new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. the proposed classifier uses ...

This paper presents the use of ANN as a pattern classifier for differential protection of power transformer, which makes the discrimination among normal, magnetizing inrush, over-excitation, external fault and internal fault currents. The Back Propagation Neural Network Algorithm and Genetic Algorithm are used to train the multi-layered feed forward neural network and simulated results are comp...