kuhbanan fault system, as one of the intracontinental faults of central iran, is recognized by considerable seismogenic activities and modern morphotectonics evidences with a strike-slip (reverse component) motion. according to the geometric and kinematics data, kuhbanan fault has been divided into 5 segments (s26, s27, s28, s29, s30) in bahabad region. measured geomorphic indices of ratio of v...

With the rapid development of the photovoltaic industry, fault monitoring is becoming an important issue in maintaining the safe and stable operation of a solar power station. In order to diagnose the fault types of photovoltaic array, a fault diagnosis method that is based on the Least Squares Support Vector Machine (LSSVM) in the Bayesian framework is put forward. First, based on the elaborat...

The main objective of this work is to provide a fault detection and isolation based on Markov parameters for residual generation and a neural network for fault classification. The diagnostic approach is accomplished in two steps: In step 1, the system is identified using a series of input / output variables through an identification algorithm. In step 2, the fault is diagnosed comparing the Mar...

This paper presents an overview about FPGA based fault injection tools which are developed by using the instrumentation technique or modification in the original code. The fault injection technique is used to evaluate dependability parameters of computer based embedded systems or safety critical systems, by injecting faults in a system. An observation on the behaviour or of the response for bot...

the scope of this research is to investigate the effect of geometrical and physical input parameters in crustal viscoelastic deformation models. to do this analysis viscoelastic model of wang et al., 2006 is used. the increasing quality of data on time-dependent deformation of the earth's surface can be used to extract more details on the spatial and temporal development of earthquake-rela...

This paper presents a location algorithm for series arc fault in low-voltage indoor power line an AC 230 V 50 Hz home network. At both ends of the line, currents and voltages are recorded each generation at different distances. Previously map trace is created by using stored signature coefficients obtained from Kirchhoff equations which allow virtual decoupling line’s mutual capacitance. Then, ...

This paper studies multiple software fault distribution model, then extends the ideas of software fault estimation based on the analysis of a large number of project fault data. It presents the estimation model of software faults distribution for Web Application, which refers to the G-O model and Rayleigh model. This paper fits the fault prediction model and shows the steps to determine the rel...

Increasing demands regarding speed, accuracy, energy-efficiency, and costs drive the complexity of technical system. This comes along with a rising number of potential faults in a system creating a need for advanced fault diagnosis methods. To this end, this thesis is focused on the design of robust model-based fault isolation filters for linear time-invariant plants. These allow to reliably lo...

In a fault tolerant control (FTC) system, a parameter varying FTC law is reconfigured based on fault parameters estimated by fault detection and isolation (FDI) modules. FDI modules require some time to detect fault occurrences in aero-vehicle dynamics. This paper illustrates analysis of a FTC system based on estimated fault parameter transient behavior which may include false fault detections ...

It is very much required to detect and diagnose fault of machine in process industry. It will help to maintenance of machine. There are many output parameters which directly affects due to fault. It can be any form like waves, numerical values etc. It is possible to achieve this by artificial intelligence methods. The methods like artificial neural network (ANN), fuzzy logic or may be hybrid mo...