Real-time Nuclear Power Plant Monitoring with Neural Network.
نویسندگان
چکیده
منابع مشابه
Real-Time Monitoring and Fault Diagnosis of a Low Power Hub Motor Using Feedforward Neural Network
Low power hub motors are widely used in electromechanical systems such as electrical bicycles and solar vehicles due to their robustness and compact structure. Such systems driven by hub motors (in wheel motors) encounter previously defined and undefined faults under operation. It may inevitably lead to the interruption of the electromechanical system operation; hence, economic losses take plac...
متن کاملAn Artificial Neural Network Based Real-time Reactive Power Controller
This paper aimed to introduce a real-time reactive power controller based on artificial neural network. A feedforward employing back-propagation was used as training algorithm. The inputs to the ANN were real and reactive power of each load. The targets were to switch ON/OFF the capacitors during normal and abnormal conditions. The network was trained and the weights corresponded to minimum (MS...
متن کاملReal Time Network Traffic Monitoring
This paper looks at the problems of real time network traffic monitoring. Some of the existing approaches are reviewed, looking at both simple filtering systems and also systems based on the use of finite state machines that can report specific events or capture data only when in particular states. Finally, some existing implementation techniques are examined and an outline proposal made for th...
متن کاملReal Time Power Swing Monitoring in a Hydro Power Plant Supported by Synchronized Measurements
Preliminary notes Dynamic disturbances in the electric power system exert influence on the operation of generators and cause several other disturbances, such as a power swing, resulting in the activation of protections, the stalling of generators and their disconnection from the grid. The application of synchronized measurements in the field of power swing has mainly been focused on a transmiss...
متن کاملReal-Time Neural Network Control
erebellar model arithmetic C computer (CMAC) neural networks can be applied to the problem of biped walking with dynamic balance. The project goal here is to develop biped control strategies based on a hierarchy of simple gait oscillators, PID controllers, and neural network leaming, that do not require detailed kinematic or dynamic models. While results of simulation studies using twodimension...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Nuclear Science and Technology
سال: 1998
ISSN: 1881-1248,0022-3131
DOI: 10.3327/jnst.35.93