This paper presents a corrective control scheme that automatically counteracts the adverse effect of intermittent faults in the logic of asynchronous sequential machines. When an intermittent fault occurs to the machine, a set of state transitions defined in the machine suspends the normal behavior for a finite interval. The objective is to design a corrective controller that makes the closed-l...

Cloud computing becomes very popular these days and fault tolerance is a major issue in this cloud environment. This paper is dedicated to study different kinds of faults and various techniques for handling them. This survey mainly focuses on why fault tolerance is required in cloud computing and which techniques are used to handle these failures so that services can be delivered without delay ...

abstract aim of this research is landslide hazard zoning in syahdare watershed using logistic regression. therefore, outset landslide points recognized using air photography and extensive field studies. then distribution of landslide map was makes. then each effective element on landslide occurred for example slope, aspect, elevation, litho logy, land use, distance of road, distance of drainage...

This paper presents a method for fault detection and diagnosis of actuator loss of effectiveness for a quadrotor helicopter. This paper not only considers the detection of the actuator loss of effectiveness faults, but also addresses the diagnosis of the faults. The detection and estimation of the faults are performed by the Augmented Extended Kalman Filter. The faults are modelled as random wa...

This work is concerned with phrasing the concepts of fault-tolerant quantum computation within the framework of disordered systems, Bernoulli site percolation in particular. We show how the so-called ‘‘threshold theorems’’ on the possibility of fault-tolerant quantum computation with constant error rate can be cast as a renormalization (coarse-graining) of the site percolation process describin...

Fault diagnosis systems (FDSs) are tools designed to detect, isolate, identify, and, possibly, mitigate the occurrence of faults affecting complex systems. This paper aims to use fuzzy logic fault diagnosis for clustering the faults. Fuzzy logic system has an advantage of inbuilt cluster identification which doesn’t supported by any other FDSs. By this inbuilt clustering the identification of f...

The occurrence of mechanical failure caused great loss of life and property, the purpose of this paper is to use SVM method to determine the type of mechanical failure, so as to simplify the maintenance process of large equipment. In this paper, we use the nonlinear method of SVM high dimensional space to detect and diagnose the fault. A function is established by using the relationship between...

1 Paper supported by MURST project ‘Fault Detection and Diagnosis, Supervision and Control Reconfiguration in Industrial Process’ Abstract In this paper, an automatic sensor validation strategy for the measurements of plasma line density in the ENEA-FTU tokamak is presented. Density measurements are performed by a 5-channel DCN interferometer. The approach proposed is based on the design of a n...

Improvements of predictive and corrective maintenance can be obtained by fault detection based on the prevision of the fault occurrence since the down time is prevented. The paper presents a solution to the abovementioned problem applied to the automation of a plant for automotive glass industry. The new approach is based on the learning and soft-computing processing of a set of measured variab...