Data-driven techniques based on multivariate statistics (such as principal component analysis (PCA) and partial least squares (PLS)) have been applied widely to chemical processes and their effectiveness for fault detection is well recognized. There is an inherent limitation on the ability for purely data-driven techniques to identify and diagnose faults, especially when the abnormal situations...

To reduce the induction voltage in metal sheath, cross-bonded grounding is a widely adopted method long-distance high power cables, but this introduces challenges to online monitoring and diagnosis of cable insulation. An for insulation based on analysis resistive current proposed paper. A theoretical formula separation between leakage sheath was derived, obtained. equivalent circuit three-phas...

In this paper, in order to increase the efficiency, to reduce the cost and to prevent the failures of wind turbines, which lead to an extensive break down, a robust fault diagnosis system is proposed for V47/660kW wind turbine operated in Manjil wind farm, Gilan province, Iran. According to the acquired data from Iran wind turbine industry, common faults of the wind turbine such as sensor fault...

Power swing caused by various disturbances will affect distance relay behavior and may result in relay misoperation. This paper provides a new wavelet-based method for detection and classification of transmission line faults during power swing. The multi-resolution analysis based on wavelet transform (WT) has the ability to decompose the analyzed signals into different frequency bands. With the...

The turn-to-turn short is one major fault of the motor faults of BLDC motors and can appear frequently. When the fault happens, the motor can be operated without breakdown, but it is necessary to maintain the motor for continuous working. In past research, several methods have been applied to detect winding faults. The representative approaches have been focusing on current signals, which can g...

We study the feasibility and time of communication in random geometric radio networks, where nodes fail randomly with positive correlation. We consider a set of radio stations with the same communication range, distributed in a random uniform way on a unit square region. In order to capture fault dependencies, we introduce the ranged spot model in which damaging events, called spots, occur rand...

We estimate the critical slip-weakening distance on earthquake faults by using a new approach, which is independent of the estimate of fracture energy or radiated seismic energy. The approach is to find a physically based relation between the breakdown time of shear stress Tb, the time of peak slip-velocity Tpv, and the slip-weakening distance Dc, from the time histories of shear stress, slip, ...

This project proposes a fault-tolerant solution for a buffer less network-on-chip, including an on-line fault-diagnosis mechanism to detect both transient and permanent faults, a hybrid automatic repeat request, and forward error correction link-level error control scheme to handle transient faults and a reinforcement-learningbased fault-tolerant deflection routing (FTDR) algorithm to tolerate ...

To secure the transmission lines against power system faults, distance relays are mostly used. Distance relay has its own Resistance (R)–Reactance (X) characteristics. Co-ordination of different is necessary for fast operation circuit breaker. Various which being tripped with respect to breakers attached at individual buses faraway from each other. These will be operated between occurred fault ...

Different distance measures have been used for efficiently predicting software faults at early stages of software development. One stereotyped approach for software fault prediction due to its computational efficiency is K-means clustering, which partitions the dataset into K number of clusters using any distance measure. Distance measures by using some metrics are used to extract similar data ...