According to fuzziness and complexity of mechanism wear fault,a kind of intelligent diagnosis system for mechanism wear fault based on fuzzyneural network is put forward. The structure and learning method of fuzzyneural network are introduced. This paper analysises how to create the characteristic vector of wear particles and standard wear particles spectrum by combine the characteristics of me...

Fault tolerance – an ability of a system to cope with errors – is an important characteristic of safety-critical systems. However, the current approaches to software development often ignore the fault tolerance aspect. This results in an ad-hoc and often incorrect introduction of the fault tolerance mechanisms into system design. In this paper, we summarize the experience gained in the formal d...

The paper presents an object oriented fault diagnostic expert system framework which analyses observations from the unit under test when fault occurs and infers the causes of failures. The frame work is characterized by two basic features. The first includes a fault diagnostic strategy which utilizes the fault classification and checks knowledge about unit under test. The fault classification k...

Active fault diagnosis (AFD) of parametric faults is considered in connection with closed loop feedback systems. AFD involves auxiliary signals applied on the closed loop system. A fault signature matrix is introduced in connection with AFD and it is shown that if a limited number of faults can occur in the system, a fault separation in the fault signature matrix can be obtained. Then the singl...

Condition monitoring of electric drives is of paramount importance since it contributes to enhance the system reliability and availability. Moreover, the knowledge about the fault mode behavior is extremely important in order to improve system protection and fault-tolerant control. Fault detection and diagnosis in squirrel cage induction machines based on motor current signature analysis (MCSA)...

In this paper, the fault-secure multiplier designs of three characteristic multiplier designs are examined and compared in terms of integration area, power dissipation and performance. Real-time detection of any single fault is ensured for all the presented circuits, while the characteristics of each multiplier are illustrated. The experimental results taken, indicate that these characteristics...

The idea that faults rupture in repeated, characteristic earthquakes is central to most probabilistic earthquake forecasts. The concept is elegant in its simplicity, and if the same event has repeated itself multiple times in the past, we might anticipate the next. In practice however, assembling a fault-segmented characteristic earthquake rupture model can grow into a complex task laden with u...

A new method has been developed for the detection of broken rotor bars fault in squirrel cage induction motor during startup regimes. The incipient detection of fault is made by using DWT analysis of FIR low pass filtered original startup transient current signal. The extracted particular characteristic evolution of the time-varying signal is used as a fault index. The method was tested using h...

The paper presents a universal fault diagnostic expert system frame work. The frame work is characterized by two basic features. The first includes a fault diagnostic strategy which utilizes the fault classification and checks knowledge about unit under test. The degree of accuracy to which faults are located is improved by using fault classification knowledge. The second characteristic is obje...

Paper discusses principles of the redundancy classification for the design of fault tolerant computer systems. The basic functions of classification: definitive, characteristic and predictive are presented. Shown that proposed classification of redundancy posses a substantial predictive power. Proposed classification suits for the analysis of roles of hardware and software to achieve fault tole...