Network fault diagnosis based on event simulation of protective relay systems.

A New Restricted Earth Fault Relay Based on Artificial Intelligence

The restricted earth fault (REF) relay is a type of differential protection which is used for detection of internal ground faults of power transformers. But, during external faults and transformer energization conditions, the probability of current transformer (CT) saturation increases. Thus, the spurious differential current due to CT saturation, can lead to REF relay maloperation. In this pap...

designing unmanned aerial vehicle based on neuro-fuzzy systems

در این پایان نامه، کنترل نرو-فازی در پرنده هدایت پذیر از دور (پهپاد) استفاده شده است ابتدا در روش پیشنهادی اول، کنترل کننده نرو-فازی توسط مجموعه اطلاعات یک کنترل کننده pid به صورت off-line آموزش دیده است و در روش دوم یک کنترل کننده نرو-فازی on-line مبتنی بر شناسایی سیستم توسط شبکه عصبی rbf پیشنهاد شده است. سپس کاربرد این کنترل کننده در پهپاد بررسی شده است و مقایسه ای ما بین کنترل کننده های معمو...

Automated IT service fault diagnosis based on event correlation techniques

Computer Network Fault Diagnosis Based On Neural Network

Computer network is one of the world's most important infrastructures in twenty-first Century, network fault diagnosis has become the focus of attention. With the development of artificial intelligence, using the neural network technology into the network fault diagnosis area can play an important role to the advantages of neural network in fault diagnosis. In this paper, the method is widely u...

Fault Diagnosis of Event-Driven Control Systems based on Timed Markov Model with Maximum Entropy Estimation

This paper presents a new fault diagnosis technology for event-driven controlled systems such as Programmable Logic Control (PLC). The controlled plant is modeled by means of the Timed Markov Model, which regards the time interval between successive two events as a random variable. In order to estimate the probability density functions of the randomized time intervals, the maximum entropy princ...