Real-time Environmental System Research Articles

Development of Advanced Monitoring System in Real Time Environment

In this paper, the problem of providing a good computerized 
 monitoring system is discussed. As an application, Advanced 
 Monitoring System (AMS) is designed and built for this purpose. 
 AMS is an image processing, a soft real time system, which is 
 concerned with enhancement of the monitoring services with lower 
 cost and a high performance. It seems to be very broad area of 
 research as it relates to many important subjects of computer science. 
 The produced system has accomplished its intended functions and 
 services in trusted fashion.

Optimal Reduced Order Model of Single- Shaft Heavy Duty Gas Turbine Power Plants

Design of controller and analyzing the response of higher order system in real time environment would be very complex and expensive. Therefore, an attempt has been made in this paper to obtain the reduced order model of single-shaft Heavy duty gas turbine plants ranging from 18.2 to 106.7 MW by using various model order reduction techniques. The step response of Heavy duty gas turbine model using the reduced order models are compared with that of the original MATLAB/ Simulink model. Various time domain specifications and performance index criteria have been considered for analyzing the responses. The simulation results show that the response obtained by Routh approximation-Pade approximation technique based reduced order model mimics the original, higher order Heavy Duty gas turbine response. It is also proposed in this paper to improve the response by optimizing the co-efficients of reduced order model using Particle Swarm Optimization technique. On comparing the simulation results, Particle Swarm Optimization technique based reduced order model yield better transient and steady state response as close to original higher order system and hence it is identified as an optimal reduced order model for all Heavy Duty gas turbine plants in grid connected operation

Electromyography-Based Hand Gesture Recognition System for Upper Limb Amputees

This article presents a low-power embedded platform that recognizes arm gestures by decoding surface electromyography (EMG) signals of amputees. The system consists of ADS1298 as analog front end (AFE), which can acquire 8-channel EMG signals simultaneously. For the validation of this system in real-time environment, four subjects have been recruited, including one transradial amputee. Six activities have been performed by each subject for the EMG pattern recognition experiment. Two cases have been created for testing data analysis of real-time classification in a DSP processor. Case one (feature extraction in DSP processor and testing off-line) shows the highest classification accuracy of 97.60% and the mean classification accuracy of 95.40%. Case two (training and testing within DSP processor) shows the highest classification accuracy of 97.75% and the mean classification accuracy of 92%. This shows that this system is capable of recognizing user intention in the real-time environment, with above 91% accuracy.

Simulation of Signals with Field Signal Simulator

In the recent trends the field signal processing is an emerging technology for data acquisition systems, controlling application systems and automation system in real time environment. Versa Modular European (VME) and CRIO based hardware to simulate the field signals for the computer based control and instrumentation panel. Simulator is used to transmit multiple number of signals at a time. FSS software is a generic software to simulate the field signals for a computer based control and instrumentation system. Its general purpose nature easily extends its capabilities to build and perform unit under test(UUT's) ATP specific test routines. Field signal simulator (FSS)is also an Automatic Testing Equipment (ATE). The main the Scope of this project covers real time computer (RTC) systems used for Signal Processing & Control application and the simulation techniques used to achieve automation by testing these RTC systems. It also includes RTC hardware and the software used for process & control applications. Simulation hardware & software used to test VME system is also included in the scope of this study.

A logic based expert system (LBES) for fault diagnosis of power system

This paper proposes an expert system for fault diagnosis of a power system using a new inference method. Expertise is, in this paper, represented by logical implications and converted into a Boolean function. Unlike conventional rule-based expert systems, the expertise is converted into Prime Implicants (PIs) which are logically complete and sound. Therefore, off-line inference is possible by off-line identification of PIs, which reduces the on-line inference time considerably and makes it possible to utilize the proposed expert system in real-time environment. This paper also presents alarm verification and correction method for relay and circuit breaker (CB) using pre-identified PIs.