The paper focuses on the application of neural network techniques in fault detection and diagnosis. The objective of this paper is to detect and diagnose the faults to a continuous stirred tank reactor (CSTR). Fault detection is performed by using the error signals, where when error signal is zero or nearly zero, the system is in normal condition, and when the fault occurs, error signals should...

Abstract: The security aspects and fault tolerance of the computational network provides have a crucial impact on the designing and use of networks. It provides the framework for securing the networks with the unwanted faults and to increases the reliability of the fault tolerance network. The conceptual view for provide secure the networks and diagnose the faults. In this paper we have carried...

In this paper, a new very fast fault simulation method to handle the X-fault model is proposed. The method is based on a two-phase procedure. In the first phase, a parallel exact critical path fault tracing is used to determine all the detected stuck-at faults in the circuit, and in the second phase a postprocess is launched which will determine the detectability of X-faults. Keywords-digital c...

Overlay networks have emerged as a powerful and flexible platform for developing new disruptive network applications. The attractive characteristics of overlay networks such as planetary-scale distributions, user-level flexibility (e.g. overlay routing) and manageability bring to overlay fault diagnosis new challenges, which include inaccessible underlying network information, incomplete and in...

Based on artificial neural networks, a fault diagnosis approach for the hydraulic system was proposed in this paper. Normal state samples were used as the training data to develop a dynamic general regression neural network (DGRNN) model. The trained DGRNN model then served as the fault determinant to diagnose test faults and the work condition of the hydraulic system was identified. Several ty...

This paper proposes an ontology model for accurate and efficient transformer fault diagnosis using an explicit, formal and machine-readable format. The model makes use of ontology to represent formally faults and their features such as causes, symptoms, effects, which form a transformer fault diagnosis knowledge base. Moreover, the model can be employed to exchange and reason information for tr...

In this paper a noble method of fault locating in a radial power distribution system is discussed. Fuzzy system will ease the calculation involved. The history associated with fault occurred in power system can be effectively used as a strong database. This database will act as the trainer to the fuzzy expert system. A rich history of faulty area will enhance the performance of the fuzzy fault ...

a myocardial contusion refers to a bruise of the cardiac muscle, the severity of which can vary depending on the severity of the injury and when the injury occurs. it is a major cause of rapid death which happens after blunt chest trauma and should be suspected at triage in the emergency department. we demonstrated that suspected myocardial contusion patients who have normal electrocardiograms ...

In this paper, fault tolerant compensation for non-linear plants is addressed. Soft fault detection and isolation is performed for a partial sensor fault detection. New method is proposed that combine model predictive controllers with fuzzy Takagi-Sugeno models. An example is presented that illustrates the functionality of the proposed method. Keywords— Fault tolerant control, Fault detection a...

This paper introduces Multi-Stage Fault Attacks, which allow Differential Fault Analysis of block ciphers having independent subkeys. Besides the specification of an algorithm implementing the technique, we show concrete applications to LED-128 and PRINCE and demonstrate that in both cases approximately 3 to 4 fault-injections are enough to reconstruct the full 128-bit key. Keywords-cryptanalys...