Analog fault diagnosis is a field of paramount importance, and test signal generation is an important prerequisite for analog fault detection. Several stimuli have been used as input test vectors. This study presents a novel approach for the adoption of classical methods and signals for fault detection. This involves the use of asymmetrical periodic signals and comparison of their effectivity i...

0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.05.007 ⇑ Corresponding author. Tel.: +1 512 232 0815; fax E-mail addresses: [email protected] (K.P. C as.edu (D. Djurdjanovic), [email protected] (A.K. This paper uses the Growing Structure Multiple Model System (GSMMS) method for fault detection and precedent-free localization of unwanted heating an...

Since the first demonstration of fault attacks by Boneh et al. on RSA, a multitude of fault attack techniques on various cryptosystems have been proposed. Most of these techniques, like Differential Fault Analysis, Safe Error Attack, and Collision Fault Analysis have the requirement to process two inputs that are either identical or related, in order to generate pairs of correct/faulty cipherte...

• A novel semi AI-based protection element proposed for the MMC-MTDC, including a start-up criterion and fault-identification criterio. The using surge-propagating characteristics to identify fault direction. used forward internal faults. has sufficient speed, sensitivity, security, selectivity. multi-terminal HVDC system based on modular multilevel converter (MMC-MTDC) is promising technique f...

This paper presents the use of ANN as a pattern classifier for differential protection of power transformer, which makes the discrimination among normal, magnetizing inrush, over-excitation, external fault and internal fault currents. The Back Propagation Neural Network Algorithm and Genetic Algorithm are used to train the multi-layered feed forward neural network and simulated results are comp...

This paper presents an original non-invasive procedure for the diagnosis of electromagnetic devices, as well as AC electrical rotating machines using two external flux coil sensors that measure the external magnetic field in the machines' vicinity. The diagnosis exploits the signal delivered by the two sensors placed in particular positions. Contrary to classical methods using only one sensor, ...

Self-awareness or the ability to be informed about system internal state is an important attribute for any system to have before it is capable of self-management. This is irrespective of which of the self-* properties of self-management in autonomic systems we choose to achieve. A system needs to have a continuous stream of real-time data to analyze to allow it be aware of its internal state. T...

The way address sequences and data patterns appear on the outside of a memory may differ from their internal appearance; this effect is referred to as scrambling, which has a large impact on the effectiveness of the used tests. This paper presents an analysis of address and data scrambling for memory chips, at the layout and at the electrical level. A method is presented to determine the data b...

This paper presents an Internal Model Control based structure to realise fault tolerance towards sensor faults. The proposed design implicitly embeds fault detection and controller elements requirements with considerations to stability and robustness towards uncertainties besides multiple faults environment. The performance of the proposed controller is demonstrated via multi input multi output...