An Ada-Based On-Line Computer System for AGR Power Stations

1993 ◽  
Vol 26 (3) ◽  
pp. 76-79
Author(s):  
R Clarke ◽  
F Humphries
Keyword(s):  
Real Time ◽  
Computer System ◽  
Relational Database ◽  
High Performance ◽  
Computer Systems ◽  
Case Tools ◽  
Power Stations ◽  
On Line ◽  
Replacement System ◽  
And Performance

Nuclear Electric have commissioned Ferranti International to develop a replacement system for their on-line computer systems in earlier AGR power stations. This system represents a step forward both in software and performance and takes advantage of investment made for military use in the Ada Language, CASE tools and a high-performance real-time relational database.

Decision-making laboratory computer systems as essential tools for achievement of total quality

1997 ◽  
Vol 43 (5) ◽  
pp. 908-912 ◽  
Author(s):  
Kenneth E Blick
Keyword(s):  
Decision Making ◽  
Quality Assurance ◽  
Expert System ◽  
Real Time ◽  
Computer System ◽  
Laboratory Testing ◽  
Computer Systems ◽  
Total Quality ◽  
Laboratory Computer ◽  
The Past

Abstract Areas other than the analytical process should be the focus of concern about quality issues in the laboratory because nearly 95% of errors occur at the nonanalytical front and back ends of the testing process. Until now, computer systems have been designed to handle the more predictable aspects of laboratory testing, necessitating that the infrequent and unpredictable data events be handled by manual systems. The manual systems are termed “workarounds” and indeed, because they occur sporadically, they are frequently not handled predictably. Here, I describe and give examples of an expert laboratory computer system that can be designed to handle both predictable and unpredictable data events without the use of manual workarounds. This expert system works in concert with a dynamic database allowing such data events to be detected in real time and handled predictably, thus providing a tool to address quality assurance issues throughout the testing process. The system performs up to 31 separate actions or tasks based on data events that in the past were handled by human workarounds.

High-End Storage

2012 ◽  
pp. 132-152
Author(s):  
Isabel Schwerdtfeger
Keyword(s):  
Real Time ◽  
Data Storage ◽  
High Performance ◽  
Storage System ◽  
Real Time Processing ◽  
Storage Solutions ◽  
Future Demands ◽  
And Performance ◽  
Extreme Scale ◽  
High Level

This chapter discusses the challenges high-end storage solutions will have with future demands. Due to heavy end-user demands for real-time processing of data access, this need must be addressed by high-end storage solutions. But what type of high-end storage solutions address this need and are suitable to ensure high performance write and retrieval of data in real-time from high- end storage infrastructures, including read and write access from digital archives? For this reason, this chapter reviews a few disk and tape solutions as well as combined disk- and tape storage solutions. The review on the different storage solutions does not focus on compliance of data storage management, but on available commercial high-end systems, addressing scalability and performance requirements both for online storage and archives. High level requirements aid in identifying high-end storage system features and support Extreme Scale infrastructures for the amount of data that high-end storage systems will need to manage in future.

Real-Time On-Line Performance Diagnostics of Heavy-Duty Industrial Gas Turbines

2002 ◽  
Vol 124 (4) ◽  
pp. 910-921 ◽  
Author(s):  
S. C. Gu¨len ◽  
P. R. Griffin ◽  
S. Paolucci
Keyword(s):  
Real Time ◽  
Gas Turbines ◽  
Performance Monitoring ◽  
Engine Performance ◽  
Combined Cycle ◽  
Ex Post ◽  
Ex Post Facto ◽  
Industrial Gas Turbines ◽  
On Line ◽  
And Performance

This paper describes the results of real-time, on-line performance monitoring of two gas turbines over a period of five months in 1997. A commercially available software system is installed to monitor, analyze and store measurements obtained from the plant’s distributed control system. The software is installed in a combined-cycle, cogeneration power plant, located in Massachusetts, USA, with two Frame 7EA gas turbines in Apr. 1997. Vendor’s information such as correction and part load performance curves are utilized to calculate expected engine performance and compare it with measurements. In addition to monitoring the general condition and performance of the gas turbines, user-specified financial data is used to determine schedules for compressor washing and inlet filter replacement by balancing the associated costs with lost revenue. All measurements and calculated information are stored in databases for real-time and historical trending and tabulating. The data is analyzed ex post facto to identify salient performance and maintenance issues.

On-Line Defect Detecting Method Based on Kernel Method

2011 ◽  
Vol 474-476 ◽  
pp. 858-863 ◽  
Author(s):  
Ke Jia Xu ◽  
Bin Chen ◽  
Li Zeng
Keyword(s):  
Real Time ◽  
Kernel Method ◽  
Principal Component ◽  
Kernel Principal Component Analysis ◽  
Image Method ◽  
Speed Up ◽  
On Line ◽  
And Performance ◽  
Detecting Method ◽  
Better Than

The conflict between accuracy and speed is one of the most well-known dilemmas of the real-time defect detecting system. This paper presents a real-time defect detecting algorithm based on Kernel principal component analysis (KPCA). KPCA-based feature extraction have recently shown to be very effective for image denoising, however the Normal KPCA method is time-consuming. In our method, we propose a progressive algorithm to speed up the reconstruct process while improve accuracy. Experimental results demonstrate that our method is dramatically better than Normal KPCA Pre-image method in terms of speed and performance.

scholarly journals Research on Real-Time Monitoring and Performance Optimization of Suspension System in Maglev Train

2021 ◽  
Vol 11 (24) ◽  
pp. 11952
Author(s):  
Xu Zhou ◽  
Tao Wen ◽  
Zhiqiang Long
Keyword(s):  
Real Time ◽  
Performance Optimization ◽  
High Performance ◽  
Suspension System ◽  
Control Performance ◽  
Real Time Monitoring ◽  
Maglev Train ◽  
Dynamic Compensator ◽  
And Performance ◽  
Residual Generator

With the success of the commercial operation of the maglev train, the demand for real-time monitoring and high-performance control of the maglev train suspension system is also increasing. Therefore, a framework for performance monitoring and performance optimization of the maglev train suspension system is proposed in this article. This framework consists of four parts: plant, feedback controller, residual generator, and dynamic compensator. Firstly, after the system model is established, the nominal controller is designed to ensure the stability of the system. Secondly, the observer-based residual generator is identified offline based on the input and output data without knowing the accurate model of the system, which avoids the interference of the unmodeled part. Thirdly, the control performance is monitored and evaluated in real time by analyzing the residual and executing the judgment logic. Fourthly, when the control performance of the system is degraded or not satisfactory, the dynamic compensator based on the residual is updated online iteratively to optimize the control performance. Finally, the proposed framework and theory are verified on the single suspension experimental platform and the results show the effectiveness.

scholarly journals New Motion Estimation Algorithms and its VLSI architectures for Real Time High Definition Video Coding

2012 ◽  
Vol 7 (1) ◽  
pp. 37-46
Author(s):  
Gustavo Sanchez ◽  
Marcelo Porto ◽  
Diego Noble ◽  
Sergio Bampi ◽  
Luciano Agostini
Keyword(s):  
Motion Estimation ◽  
Real Time ◽  
High Performance ◽  
Local Minima ◽  
High Definition ◽  
Vlsi Architectures ◽  
Estimation Algorithms ◽  
Diamond Search ◽  
Good Trade ◽  
And Performance

This paper presents an efficient hardware design using the new Motion Estimation (ME) algorithms named: Multi-point Diamond Search (MPDS) and Dynamic Multi-Point Diamond Search (DMPDS). These algorithms are more efficient to avoid from local minima falls than traditional fast algorithms.This fact contributes to increase the quality of the motion vectors, especially in High Definition (HD) videos, were the number of local minima are considerable higher. Two versions of MPDS algorithm were proposed. The first one, focused on high performance, is capable to process videos QFHD at 30 frames per second when synthesized to Altera Stratix 4 and 90nm TSCM, with only 18mW. The second version is focused on quality enhancement and is capable to process HD 1080p videos in real time. The DMPDS architecture has been developed focusing on high performance and was synthesized to Altera stratix 4. This architecture is capable to process videos QFHD at 34 frames per second. In comparison to related works, our solutions obtained the highest processing rates, and a good trade-off among power consumption, area, memory bits and performance.

A Micro Electrical Machining CNC System Based on RTAI

2007 ◽  
Author(s):  
Rui Guo ◽  
Wansheng Zhao ◽  
Gang Li
Keyword(s):  
Real Time ◽  
High Performance ◽  
Detection Algorithm ◽  
Numerical Control ◽  
Cnc System ◽  
Good Surface ◽  
Micro Holes ◽  
On Line ◽  
Hard Real Time ◽  
Micro Structures

Micro Electrical Machining (μ-EM) has been regarded as a key technology for micro-machining because of the high precision and good surface quality that it can achieve. This paper presents the development of a Computer Numerical Control (CNC) system dedicated for μ-EM. RTAI which is a hard real-time operating system based on Linux is applied to meet the requirements of the μ-EM CNC. RTAI offers high performance compared with commercial real-time operating systems. To deal with the difficulties in micro electrodes online fabrication and compensation, an on-line measurement subsystem which has a resolution of 1.61 μm and an overall magnification ranges from 113 to 729 is integrated into the CNC system. The contour of micro electrodes can be extracted by means of the Canny edge detection algorithm. The micro electrodes’ dimension can be measured on-line manually or automatically. Machining verifications demonstrate that a μ-EM machine equipped with the RTAI based CNC system has a good potential of manufacturing not only micro-holes and micro-shafts but also complex 3D micro structures and parts.

Boiler Emissions and Performance Improvement due to Utilization Real-Time Intelligent Sootblowing Boiler Monitoring Place

2020 ◽  
Author(s):  
B. Chudnovsky ◽  
I. Chatskiy
Keyword(s):  
Heat Transfer ◽  
Power Plant ◽  
Real Time ◽  
Performance Improvement ◽  
Heat Balance ◽  
Integrated System ◽  
Boiler Efficiency ◽  
On Line ◽  
And Performance ◽  
Emissions And Performance

Abstract As it is well known, deposits in boilers contribute to boiler inefficiency, capacity reductions, and overheated tubes, which lead to tube failures. To improve the heat transfer inside the furnace the fouling deposits obviously should be removed. In order to take fouling into account in the overall furnace and boiler heat balance it is necessary to measure two main parameters — thickness of the deposits and their reflectivity (emissivity) in the wavelength of visible and IR region. In the present paper it is demonstrated how such measurement (see detailed description in Ref [1–3] can be used for on-line automatic sootblowing control. Results of our study demonstrate that dynamics of both parameters (contamination thickness and reflectivity) on the operated boiler can be registered in real time and then interpreted separately. The sootblowing boiler monitoring has been implemented at the 550 MW unit equipped with B&W opposite wall burners. The fouling and thickness sensors (FTR) were installed in different locations of the combustion chamber through its width and height. It was shown that dynamics of thickness and reflectivity variation just after the wall cleaning activation are quite different. Situations have been registered where changes of reflectivity have a significant impact on heat transfer, comparable and sometimes even greater than that of growing fouling thickness. Technique and device exploited in this study appears to be a very useful tool for sootblowing optimization and, as a result, for improvement of boiler efficiency and reduction of water wall erosion and corrosion. The paper presents a strategy to implement a comprehensive automatic control of soot blowing in power plant boilers. The paper will describe the existing installations where individual components are in operation, and describe an integrated system that could combine all these parts to make an integrated intelligent sootblowing system.

Multipurpose Detecting System for Automotive Switch Function Based on Virtual Instrument (LabVIEW) and Embedded Technology (ARM)

2012 ◽  
Vol 490-495 ◽  
pp. 937-941
Author(s):  
Hong He ◽  
Xing Su ◽  
Pei Pei Yang ◽  
Jian Wen Li ◽  
Shao Hua Shi
Keyword(s):  
Control System ◽  
Real Time ◽  
Virtual Instrument ◽  
High Performance ◽  
Detection System ◽  
Material Resources ◽  
Instrument Technology ◽  
Ethernet Controller ◽  
And Performance ◽  
And Control

Contrary to the problem that automobile switches have various kinds and large differences in the structure and performance so that traditional testing methods have been unable to meet the testing requirements of high performance switches, the paper designs a new detection system used to detect the functions of general auto switches which applies the developing environment LabVIEW based on virtual instrument technology and adopts the technology of embedded observe and control system. Using PC as the host computer, the system adopts the LabVIEW8.5 to compile a real-time monitoring system with good human-computer interface; S3C2440-ARM9 processor is used as the main controller of observe and control system in the inferior computer which collects output current signal when the circuit is conducted after switch is pressed. After the coding process of LwIP software protocol and the drive of Ethernet controller DM9000, the signal is transmitted to PC through Ethernet interface. Compared with conventional testing measures, this system greatly improves the real-time performance as well as working efficiency of detecting switch functions and reduces the corresponding human and material resources.

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