Modern cyber physical systems (CPSs) are becoming more and more vulnerable to security related attacks, due to the growing number of interconnectivity and standardized communication channels. This evolution make the traditional approaches considering the safety and security domains as two disjunctive areas obsolete. In this paper we propose state/event fault tree for modeling and analyzing the ...

The problem of fault detection for stochastic Markovian jump system is considered. The system under consideration involves discrete and distributed time-varying delays, Itô-type stochastic disturbance, and different system and delay modes. The aim of this paper is to design a fault detection filter such that the fault detection system is stochastically stable and satisfies a prescribed H∞ distu...

Symmetrical nature of mean of electrical signals during normal operating conditions is used in the fault detection task for dependable, robust, and simple fault detector implementation is presented in this work. Every fourth cycle of the instantaneous current signal, the mean is computed and carried into the next cycle to discover nonlinearities in the signal. A fault detection task is complete...

Fault step-overs with linking dip-slip faults are common features on long strike-slip fault systems worldwide. It has been noted by various researchers that under some circumstances, earthquakes can jump across fault step-overs to cascade into large events, while under other circumstances rupture is arrested at stepovers. There is also evidence that fault step-overs may be preferential location...

A fault diagnosis scheme for nonlinear time series recorded in normal and abnormal conditions is described. The fault is first detected from regression lines of the raw time series. Model for the normal condition time series is estimated using a Finite Impulse Response (FIR) neural network. The trained network is then used for filtering of abnormal condition time series. The fault is further co...

The wheelset bearing play an important role in train running safety. In this paper, we introduce the nonlinear dynamical method to study the wheelset bearing vibration signal. Based on the comparative studies of the phase graph and the correlation dimension of the vibration signals under normal condition, outer peeling fault condition and rolling element electric erosion fault condition, the fo...

Fault detection and isolation are important tasks to improve the protection system of low voltage direct current (LVDC) networks. Nowadays, there challenges related strategies in LVDC systems. In this paper, two proposed methods for fault faulty segment through line bus measurement were discussed. The impacts grid characteristics protective devices under pre-fault normal, under-fault, post-faul...