This paper presents DE/IFT, a new fault diagnosis engine which is based on the authors’ IFT algorithm for induction of fault trees. It learns from an examples database comprising sensor recordings, all of which have been classified as corresponding to either the normal behaviour of the system or to one or more fault states. The fault trees generated by IFT are translated into functions in the C...

In long transmission lines, the charging current caused by the shunt capacitance decreases the accuracy in impedance based fault location. To improve the accuracy of fault location, this paper presents a novel scheme, where two Digital Fault Recorders (DFRs) are installed in a line. They can send the transient data of the faults to the both ends of a line. To estimate the distance of a fault, i...

In structural health monitoring (SHM) and control, the structure can be instrumented with a redundant sensor network, which can be utilized in sensor fault diagnosis. In this study, the objective is to detect, identify, and quantify a sensor fault using the structural response data from the sensor network. Seven different sensor fault types are investigated and modelled: bias, gain, drifting, p...

This paper presents the development of a wavelet based algorithm, for distinguishing between magnetizing inrush currents and power system fault currents, which is quite adequate, reliable, fast and computationally efficient tool. The proposed technique consists of a preprocessing unit based on discrete wavelet transform (DWT) in combination with an artificial neural network (ANN) for detecting ...

[1] We discuss numerical simulations of evolving fault zone structures in a 3-D lithospheric model with a seismogenic crust governed by a damage rheology that accounts for large strain associated with permanent brittle deformation. Results for the initial propagation of an existing narrow damage zone subjected to oblique loading exhibit strong asymmetry of the evolving damage with respect to th...

We present a method for deriving minimal tests to cover multiple fault models. Integer linear programming (ILP) is used to select a minimum set of vectors without reducing the original coverage. Tests can be initially generated separately for different fault models. All tests are then simulated for each fault model of interest without fault dropping. The fault simulation data are converted into...

At the time of power swing the measured impedance lies inside the relay operating region. There is undesired tripping of Distance relay during power swing without having any fault. So relay must be blocked & must trip after a fault occur during power swing. This paper presents new technique to detect fault during power swing. In the proposed technique process starts by simulating the double tra...

Because the traditional BP neural network slow convergence speed, easily falling in local minimum and the learning process will appear oscillation phenomena. This paper introduces a tolerance analog circuit hard fault and soft fault diagnosis method based on adaptive learning rate and the additional momentum algorithm BP neural network. Firstly, tolerance analog circuit is simulated by OrCAD / ...

Fault Detection and Diagnosis in Building HVAC Systems

A major left-lateral strike-slip Mw7.7 earthquake occurred in the vicinity of Caribbean Sea on January 28, 2020. As a result, small-scale tsunami was generated. The properties seismogenic source were described using observational data gathered for and tsunami, as well information regional tectonic setting. simulated with COMCOT model Okada’s dislocation from finite fault solutions MW7.7 earthqu...