Transformer Fault Early Warning System Model Using GSM Network

Fault Sensing in a Remote Transformer Using Gsm & Automatic On/off of Street Lamps

Networked embedded systems have become quite important nowadays, especially for monitoring and controlling the devices. Advances in embedded system technologies have led to the development of residential gateway and automation systems. Apart from frequent power cuts, residential areas suffer from a serious problem that people are not aware about the power cuts due to power disconnections in the...

Early Warning Fault Detection Using Artificial Intelligent Methods

This paper describes a research investigation to access the feasibility of using an Artificial Intelligence (AI) method to predict and detect faults at an early stage in power systems. An AI based detector has been developed to monitor and predict faults at an early stage on particular sections of power systems. The detector for this early warning fault detection device only requires external m...

Early warning system.

Famine Early Warning Systems Network

slowly evolving natural hazards such as agricultural drought. Famine early warning systems transform these data into actionable policy information, enabling humanitarian organizations to respond in a timely and appropriate manner. These life-saving responses are increasingly important: In 2006, one out of eight people did not have enough food to eat and 22 million more people became sufficientl...

A Novel Fault Early Warning Model Based on Fault Gene Table for Smart Distribution Grids

Abstract: Since a smart distribution grid has a diversity of components and complicated topology; it is very hard to achieve fault early warning for each part. A fault early warning model for smart distribution grid combining a back propagation (BP) neural network with a gene sequence alignment algorithm is proposed. Firstly; the operational state of smart distribution grid is divided into four...