Several approaches for the diagnosis of faults in analog circuits have reasonably accuracy which comes at the cost of heavier processing requirements and lowered efficiencies. In this paper, we propose a time domain based technique for fault diagnosis using specifications extracted from the step response of a circuit. With the help of neural network we have to go for back propagation learning p...

This paper addresses the functional behavior of Cellular Neural Networks (CNN). The impact of variable convergence times on the proper operation of the network is discussed. A test method is presented to determine the functionality of the network. The function fault models assume that the cells are unable to switch between limiting states. The proposed method attains 100% stuck-at fault coverag...

Performance coefficients are widely used in seismic design codes to achieve performance objectives. The values of these have significant importance achieving pre-specified goals. Studies shown that near-fault earthquakes decrease the ductility and increase risk failure structures; however, current use same structures against near- far-fault records. In present study, 1-, 5-, 10- 15-story specia...

Attacks on cryptosystem implementations (e.g. security fault injection, timing analysis and differential power analysis) are amongst the most exciting developments in cryptanalysis of the past decade. Altering the internal state of a cryptosystem or profiling the system’s computational dynamics can be used to gain a huge amount of information. This paper shows how fault injection and timing ana...

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 ...

This paper investigates the influence of the DC network topology with respect to two important aspects: the steady-state losses and the transient fault currents. For this, the optimal power flow in a combined AC-DC Multi-Terminal HVDC cable system based on Voltage Source Converters and the development of prospective fault currents during a pole-toground fault is simulated. The results prove tha...

This paper reviews past efforts and develops faults locator algorithm based on the impedance method. The predicted fault currents were compared with fault currents for different nodes to obtain model equations for estimating fault locations. The model considered the non-homogenous overhead radial network typical of Nigeria distribution system. The model equation was compared with analytical met...