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Reliable Operation (reliable + operation)
Selected AbstractsAdvanced and intelligent technologies for reliable operation of power systems and electricity marketsIEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, Issue 5 2008Ryuichi Yokoyama Senior Member Abstract Deregulation of power industries is still progressing in many countries, aiming at reduction of the electricity price, diversity of customer diverse choices, services and promotion of new business and keeping supply reliability. Many countries are testing this notion in anticipation of lower power prices through open competition. In such a competitive situation, it is necessary for suppliers to take on the responsibility of keeping supply reliability at the load end in order to prevent outages, for instance, independent power producers (IPP) placing distributed generations (DGs) close to the load or conventional utilities utilizing advanced and intelligent system operation/control technologies that are costly. Usually, customers pay one price for power that is good enough for ordinary use, therefore not necessarily highly consistent in quality of voltage, current, frequency or reliability. However, if customers desire better quality power, additional fees are added according to the particular characteristics desired, thus customers are supplied with this type of better power that they choose. Under such a worldwide new trend in power systems and markets, this article is edited for the purpose of introducing the most advanced technologies and the newest issues related to reliable and stable operations of power markets and systems in the competitive environment. © 2008 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. [source] Detecting and classifying delay Data Exceptions on communication networks using rule based algorithmsINTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, Issue 2 2005Tammam Benmusa Abstract Network performance monitoring is essential for managing a network efficiently and for ensuring reliable operation of the network. Monitored network performance changes reflect events in the network, such as faults, significant changes in usage patterns or planned alterations. Network managers are interested in how and when the performance of a network changes; however it is inefficient to analyse all the data resulting from the monitoring operation manually. In this paper a rule based algorithm to automate detection of the changes in one of the network performance parameters, namely delay, is presented and described in detail. The nature of the delay pattern in a commercial communication network was the key issue in developing this algorithm. The approach was tested with monitored delay data generated from three different networks and showed good results. Also, the algorithm was tested with sets of delay data which have been already input to a previously developed detector based on a different approach, and the results between the two detectors are compared. In addition to a noticeable improvement in detection performance, the new approach provides more generality and independency of the source of the delay data, making the approach generally applicable to other networks. Copyright © 2004 John Wiley & Sons, Ltd. [source] Short-term MPEG-4 video traffic prediction using ANFISINTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, Issue 6 2005Adel Abdennour Multimedia traffic and particularly MPEG-coded video streams are growing to be a major traffic component in high-speed networks. Accurate prediction of such traffic enhances the reliable operation and the quality of service of these networks through a more effective bandwidth allocation and better control strategies. However, MPEG video traffic is characterized by a periodic correlation structure, a highly complex bit rate distribution and very noisy streams. Therefore, it is considered an intractable problem. This paper presents a neuro-fuzzy short-term predictor for MPEG-4-coded videos. The predictor is based on the Adaptive Network Fuzzy Inference System (ANFIS) to perform single-step predictions for the I, P and B frames. Short-term predictions are also examined using smoothed signals of the video sequences. The ANFIS prediction results are evaluated using long entertainment and broadcast video sequences and compared to those obtained using a linear predictor. ANFIS is capable of providing accurate prediction and has the added advantage of being simple to design and to implement. Copyright © 2005 John Wiley & Sons, Ltd. [source] Vision-based operations of a large industrial vehicle: Autonomous hot metal carrierJOURNAL OF FIELD ROBOTICS (FORMERLY JOURNAL OF ROBOTIC SYSTEMS), Issue 4-5 2008Cédric Pradalier Hot metal carriers (HMCs) are large forklift-type vehicles used to move molten metal in aluminum smelters. This paper reports on field experiments that demonstrate that HMCs can operate autonomously and in particular can use vision as a primary sensor to locate the load of aluminum. We present our complete system but focus on the vision system elements and also detail experiments demonstrating reliable operation of the materials handling task. Two key experiments are described, lasting 2 and 5 h, in which the HMC traveled 15 km in total and handled the load 80 times. © 2008 Wiley Periodicals, Inc. [source] A Study of Reasons for Participation in Continuing Professional Education in the U.S. Nuclear Power IndustryPERFORMANCE IMPROVEMENT QUARTERLY, Issue 3 2003Randy B. McCamey ABSTRACT The need for workers in the U.S. nuclear power industry to continually update their knowledge, skills, and abilities is critical to the safe and reliable operation of the country's nuclear power facilities. To improve their skills, knowledge, and abilities, many professionals in the nuclear power industry participate in continuing professional education (CPE). This study investigates participation in CPE using the Participation Reasons Scale (Grotel-ueschen, 1985), a 30-item self-report instrument that measures five dimensions or reasons for participation in continuing professional education. Professional Development ranked as the most important reason for participating in continuing professional education. Identity and Commitment ranked as the least important reason for participating. All reasons for voluntary participation were found to be significantly different (higher) than corresponding compulsory reasons for participation in CPE. [source] Highly reliable blue-violet inner stripe laser diodes using planar regrowth of AlGaN/GaN superlattice cladding layerPHYSICA STATUS SOLIDI (A) APPLICATIONS AND MATERIALS SCIENCE, Issue 6 2007K. Fukuda Abstract We describe highly reliable operation of a novel planar inner stripe blue-violet laser diode (BV-LD). A planar regrowth technique makes it possible to simultaneously fabricate a low-resistive superlattice (SL) structure both on the current-injecting narrow stripe area and on the AlN current-blocking layer. This allows for low operating voltage and over 1000 h stable operation at a single-mode output power of 200 mW at 80 °C. The results obtained here clearly indicate that this inner stripe laser structure is a desirable candidate for a reliable high-power light source for the next generation of optical disc systems. (© 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [source] High and low energy proton irradiation effects on AlGaN/GaN HFETsPHYSICA STATUS SOLIDI (C) - CURRENT TOPICS IN SOLID STATE PHYSICS, Issue 6 2006G. Sonia Abstract AlGaN/GaN heterojunction field effect transistors (HFETs) have been irradiated with protons at 68 MeV and 2 MeV with fluences up to 1013 cm,2 in order to simulate operation in space. Hall effect measurements, dc characteristics and RF load pull measurements at 2 GHz do not reveal significant changes indicating the suitability of the transistors for reliable operation in space. (© 2006 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [source] | |||||||||||||