The design of large dependable multiprocessor systems requires quick and precise mechanisms for detecting the faulty nodes. The problem of system-level fault diagnosis is computationally difficult and no efficient and generic deterministic solutions are known, motivating the use of heuristic algorithms. In this paper, we show how artificial immune systems (AIS) can be used for fault diagnosis i...

In order to achieve accurate diagnosis for rotating machinery automatically and considering that test data under actual fault conditions are rather difficult to obtain, a novel fault diagnosis strategy based on rotor dynamics and computational intelligence was proposed in this paper. Considering the nonlinear restoring force of ball bearing, the dynamic equation of a rotor–bearing system contai...

When the failure probability of a system is extremely small or necessary statistical data from the system is scarce, it is very difficult or impossible to evaluate its reliability and safety with conventional fault tree analysis (FTA) techniques. New techniques are needed to predict and diagnose such a system’s failures and evaluate its reliability and safety. In this paper, we first provide a ...

In this paper, we introduce an efficient approach for modelling the problem of faults’ identification and alarms correlation in large telecommunication networks. These alarms are usually useful for identifying faults in such systems, and therefore solving them. However, for large systems, the number of alarms produced is so large that the current management systems cannot handle it. For instanc...

Introduction: Quaternary basalts are one of the last signs of magmatism in Iran, some of which are related to deep fractures and active faults in the Quaternary. Quaternary basalts of Tabas are very important due to their high expansion and location in eastern Iran, and are located 140 km south east of Tabas city and according to the proposed divisions are part of the Lut zone. The aim of this...

Defects in safety critical processes can lead to accidents that result in harm to people or damage to property. Therefore, it is important to find ways to detect and remove defects from such processes. Earlier work has shown that Fault Tree Analysis (FTA) [3] can be effective in detecting safety critical process defects. Unfortunately, it is difficult to build a comprehensive set of Fault Trees...

Challenging design problems arise regularly in modern fault diagnosis systems. Unfortunately, classical analytical techniques often cannot provide acceptable solutions to such difficult tasks. This explains why soft computing techniques such as neural networks become more and more popular in industrial applications of fault diagnosis. Taking into account the two crucial aspects, i.e., the nonli...

Many complex nonlinear systems have the characteristics such as difficult modeling, dangerous testing, and high cost to experiment with fault. Aim at these points, a new kind of novelty estimation method based on an on-line Least Square Support Vector Regression (LS-SVR) algorithm is presented for fault prediction of nonlinear system in this paper. Firstly, a set of characteristic token values,...

Distributed fault-tolerance can mask the effect of a limited number of permanent faults, while self-stabilization provides forward recovery after an arbitrary number of transient fault hit the system. FTSS protocols combine the best of both worlds since they are simultaneously fault-tolerant and self-stabilizing. To date, FTSS solutions either consider static (i.e. fixed point) tasks, or assume...