In this paper we present three new schemes for sensor and actuator fault diagnosis for linear time-invariant systems: multirate parity-space techniques, multirate observers, and multirate detection filters. We show that these approaches offer distinct advantages over conventional fault diagnosis schemes in terms of ease of failure detection, the speed and the class of systems for which detectio...

Concurrent fault detection plays a vital role in hardware implementation in order to prevent losing the original message This paper explores the new low-cost fault detection scheme for the S-box/ InvS-box of AES using a parity prediction technique. The predicted block was divided into seven blocks, to compare between the actual parity output and the predicted parity output results in the error ...

In software development life cycle (SDLC) testing is very important step. One of the key elements of software quality is testing. Fault detection and removal process is also very important when we are doing testing. In the last 30 years numerous software reliability growth models where developed for fault detection and correction process. Majority of models where developed under static conditio...

⎯ In this paper, we present a comprehensive experimental assessment of fault coverage for a fault-tolerant VLIW processor, which consists of the error detection, error rollback recovery and reconfiguration mechanisms. We implement the proposed design of fault-tolerant VLIW in VHDL and employ the fault injection to investigate the effects of fault duration, workload variation and the number of r...

A fault detection method for nonlinear systems, which is based on Probabilistic Neural Network Filtering (PNNF), is presented. PNNF limits the maximum estimation error of the asymptotic Bayes optimal result and describes the tracking process with an expression. On the basis of these properties of PNNF and the statistical characteristics of the noise of the system, a fault threshold can be bette...

This paper presents an adaptive fault-tolerant control (FTC) scheme for a class of nonlinear uncertain multi-agent systems. A local FTC scheme is designed for each agent using local measurements and suitable information exchanged between neighboring agents. Each local FTC scheme consists of a fault diagnosis module and a reconfigurable controller module comprised of a baseline controller and tw...

This paper presents a new approach for fault detection and classification in transmission line using Decision Tree (DT). The DT based fault detection algorithm uses 1/4th cycle data of fault currents from fault inception, to generate the optimal decision tree for fault detection. Similarly, the DT based classification algorithm takes half cycle data from fault inception of three phase currents ...

A model-free hybrid fault diagnosis technique is proposed to improve the performance of single and double fault detection and isolation. This is a model-free hybrid method which combines the extended parity space approach (EPSA) with a multi-resolution signal decomposition by using a discrete wavelet transform (DWT). Conventional EPSA can detect and isolate single and double faults. The perform...

FPGAs can be used for the design of autonomic reliable systems. Advantages are reconfiguration and flexibility in the design. However commercial FPGAs are first prone to errors. Second, the design flow is not yet supported for the use of fault tolerance techniques like Built-In Self-Tests. Fault tolerance can be reached through error detection and fault recovery. Most error detection techniques...

Automated fault detection is an increasingly important problem in aircraft maintenance and operation. Standard methods of fault detection assume the availability of either data produced during all possible faulty operation modes or a clearly-defined means to determine whether the data provide a reasonable match to known examples of proper operation. In the domain of fault detection in aircraft,...