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Journal articles on the topic 'Power plant equipment'

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1

Furtado, Heloisa, Fernanda Santos, Bruno Cardoso, Carlos Frederico Matt, and Luiz Henrique de Almeida. "Power Plant Remaining Life Evaluation." Key Engineering Materials 588 (October 2013): 232–42. http://dx.doi.org/10.4028/www.scientific.net/kem.588.232.

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The present paper describes the development of a monitoring, analysis and diagnosis system of power plant equipments based on strain measurements. The objective is to help companies increase availability and reduce maintenance costs. The aim is the integrity evaluation of a main steam and a hot reheat steam piping through inspection, strain monitoring and computational diagnosis. The benefits are, among others, reduction in the uncertainty of the remaining life prediction and reduction of work, through process automation and integration and real time monitoring (through the Internet) of the operational condition of the equipment. Thus, greater confidence and availability of the monitored generating unit is sought as well as cost reduction as a consequence of reduced frequency of unnecessary unit stops and greater speed in decision making due to more precise follow up of the operational condition of the target-equipment and of its remaining life.
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2

Tupov, V. B., S. A. Semin, B. V. Tupov, A. A. Taratornin, and D. A. Rozanov. "Noise Barriers for Power-Plant Equipment." Power Technology and Engineering 50, no. 6 (March 2017): 649–52. http://dx.doi.org/10.1007/s10749-017-0767-2.

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3

Voroshilov, V. S., M. I. Golembiovskii, V. V. Zhirov, O. V. Martynov, and S. V. Piskunov. "Asynchronous motors for nuclear power plant equipment." Russian Electrical Engineering 79, no. 11 (November 2008): 639–41. http://dx.doi.org/10.3103/s1068371208110114.

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4

Zhao, Wei Wei, Yu Jiong Gu, Cheng Cheng Wang, and Zhao Xu Ren. "Risk Analysis and Evaluation of Power Plant Equipment." Advanced Materials Research 860-863 (December 2013): 1690–93. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.1690.

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Because the complexity and The diversity of the fault of large-scale power generation equipment system, it is difficult to carry out the analysis and evaluation for risk of equipment failure definitely and accurately. In the present analysis, most of them are complex function formulas, and not only is it difficult to understand, but also in poor operating in practice. At the same time, it is fail to be divided according to different faults of different devices In the issue of risk classification in the present study, so that the risk classification is not reasonable. This article is based on the research about equipment failure risk assessment, and by risk factors analysis to classify the risk of different failure for different devices. Maintenance mode selection is no longer based on the device but a combination of criticality analysis, and we can propose appropriate maintenance mode in the light of different fault of different equipment.
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5

Zhang, Jia Jun, Jian Mei, Jiang Hu, and Li Xin Zheng. "Discussion on Metal Heat Treatment in Nuclear Power Plant." Applied Mechanics and Materials 496-500 (January 2014): 485–92. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.485.

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To improve mechanical properties and corrosion resistance, heat treatment is applied to the mechanical equipment (equipment and piping, etc.) during manufacture or installation. The nuclear class mechanical equipment with high reliability is required in nuclear power plant, but heat treatment is an important factor which affects reliability of mechanical equipment. To have a better view on issues of metal heat treatment, this paper will provide reference for subsequent heat treatment of mechanical equipment in nuclear power plant by analyzing and summarizing existing problems in heat treatment, especially during the reactor pressure vessel such heat treatment of large forgings, so as to avoid same problems.
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6

Minin, Sergey Ivanovich. "Ultrasonic cleaning of heat exchanging nuclear power plant equipment." Izvestiya Wysshikh Uchebnykh Zawedeniy, Yadernaya Energetika 2018, no. 2 (June 2018): 5–14. http://dx.doi.org/10.26583/npe.2018.2.01.

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7

Xiao, Li Chun, and Zhi Jiang Ding. "Coal Gas Dehydration Equipment in Combined Cycle Power Plant." Applied Mechanics and Materials 220-223 (November 2012): 554–58. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.554.

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To reduce the moisture content of coal gas in combined cycle power plant, a new type dehydration equipment is introduced. The curved plate dehydration equipment is composed of many pieces of stainless plate which has some collection hooks at every corner. Meanwhile, a new method on measuring moisture in gas by using superfine fibreglass is introduced.The gas-water separation efficiency was calculated by the difference of moisture content before and after the curved plate dehydration equipment. The dehydration efficiency of curved plate in combined cycle power plant system was tested under different operating load, the results show that gas velocity and gas/liquid ratio have a great influence on the coal gas dehydration efficiency. If the washing water flow rate and pressure are changed, the efficiency will change at the same time. The moisture content is low when the spraying nozle works at a high water pressure. The operation water pressure and working voltage of electrostatic precipitator have been proposed by testing and analysis. It will have great advantage to the safe operation of turbine.
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8

Mino, Yoshiaki, Seiji Honda, and Nobuhiro Nakazawa. "Recent Trends of Hydroelectric Power Plant Equipment and Maintenance." IEEJ Transactions on Power and Energy 128, no. 8 (2008): 985–88. http://dx.doi.org/10.1541/ieejpes.128.985.

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9

AMAKAWA, Hiroaki, Masaki KANADA, Takayasu KASAHARA, Yuichi USHIO, Shinobu OKIDO, and Hiroshi HANAKI. "Soundness Visualization System for Equipment of Nuclear Power Plant." Proceedings of the National Symposium on Power and Energy Systems 2019.24 (2019): B221. http://dx.doi.org/10.1299/jsmepes.2019.24.b221.

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10

顾, 培文. "Preliminary Research on Equipment Accessibility of Nuclear Power Plant." Nuclear Science and Technology 02, no. 03 (2014): 35–39. http://dx.doi.org/10.12677/nst.2014.23006.

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11

McGowan, Francis, and Stephen Thomas. "Restructuring in the Power-plant Equipment Industry and 1992." World Economy 12, no. 4 (December 1989): 539–56. http://dx.doi.org/10.1111/j.1467-9701.1989.tb00477.x.

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12

Zorchenko, N. V., and A. G. Chaplin. "Experience with Certification Testing of Thermal Power Plant Equipment." Power Technology and Engineering 50, no. 5 (January 2017): 521–24. http://dx.doi.org/10.1007/s10749-017-0743-x.

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13

Wang, Guoliang, Junhai Shi, Yuchen Chen, and Weiwu Yan. "Design of flyback power supply of DC equipment in PV power plant." Journal of Physics: Conference Series 1983, no. 1 (July 1, 2021): 012068. http://dx.doi.org/10.1088/1742-6596/1983/1/012068.

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14

Özcan, Evrencan, Rabia Yumuşak, and Tamer Eren. "Risk Based Maintenance in the Hydroelectric Power Plants." Energies 12, no. 8 (April 20, 2019): 1502. http://dx.doi.org/10.3390/en12081502.

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In this study, maintenance planning problem is handled in one of the hydroelectric power plants which directly affect Turkey’s energy supply security with a fifth share in the total generation. In this study, a result is obtained by taking into consideration the multi-objective and multi-criteria structure of the maintenance planning in the hydroelectric power plants with thousands of complex equipment and the direct effect of this equipment on uninterrupted and low-cost electricity generation. In the first stage, the risk levels of the equipment in terms of the power plant are obtained with the combination of AHP (Analytical Hierarchy Process) and TOPSIS (technique for order preference by similarity to ideal solution) which are frequently used in the literature due to their advantages. Department-based maintenance plans of all equipment for periodic and revision maintenance strategies are formed by integrating these values into the time allocated for maintenance and the number of employees constraints. As a result of the application of this methodology which is designed for the first time in the literature with the integration of multi-criteria decision-making methods for the maintenance planning problem in a hydroelectric power plant, all elements that prevent the sustainable energy supply in the power plant are eliminated.
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15

Grganić, Hrvoje, Marko Valjak, Gregor Škorc, and Luka Romac. "Ensuring Electromagnetic Compatibility in Nuclear Power Plant beyond Equipment Qualification Tests." Journal of Energy - Energija 68, no. 2-3 (July 8, 2022): 43–50. http://dx.doi.org/10.37798/2019682-3190.

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Electromagnetic compatibility (EMC) is defined as the capability of equipment or system to function satisfactorily in its electromagnetic environment without introducing intolerable electromagnetic disturbances to anything in that same environment [1]. EMC regulatory requirements for instrumentation and control (I&C) equipment were not developed or in effect until the last few years. Therefore, there is a considerable number of plant equipment that has not been qualified for EMC. The current EMC regulatory requirements address new and modified equipment only, and do not call for testing of existing equipment. There is a gap, which has to be overcome, in order to understand the current level of EMC within the plant. Equipment qualification normally implies formal tests in EMC chambers, which is not practical for the equipment already installed. This paper is a short overview of the preparation phase of a project that includes various EMC-related activities currently being performed in Krško nuclear power plant (NPP). The activities are categorized into two main groups: equipment immunity (susceptibility) tests, used as an assessment of the immunity of the existing equipment such as process cabinets, transmitters and similar, and zone mapping measurements, which are performed to record the electromagnetic environment of the selected plant areas. There is no clear, detailed and unambiguous guidance on how to perform any of these tests. It takes a lot of engineering judgement to optimize them for a specific plant. Some of the most important questions addressed in this paper are 1) the selection of the plant areas for zone mapping measurements and susceptible equipment to be tested for immunity, 2) choice of electromagnetic disturbances, which shall be simulated during those tests, and 3) practical performance, i.e. harmonization of immunity tests with operation of other plant systems. It is necessary to decide which operation mode poses the “worst-case”, i.e. how and when the immunity tests and zone mapping measurement should be performed. The paper also addresses troubleshooting of poor EMC design and installation practices, which can significantly reduce the number of EMC-related problems in a plant.
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16

Unal, Fatih, and Derya Ozkan. "Application of exergoeconomic analysis for power plants." Thermal Science 22, no. 6 Part A (2018): 2653–66. http://dx.doi.org/10.2298/tsci170217098u.

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Currently, energy resources are rapidly consumed. Therefore, scientists and engi?neers study the effective use of energy. In the present study, a thermodynamic and exergoeconomic analysis was performed in a thermal power plant in Turkey. The study involved determining the thermodynamic properties of 27 node points in a thermal power plant unit, and this was followed by calculating energy and exergy values of every node. Mean exergy costs were calculated by establishing energy and exergy balances of the equipment with respect to the calculated results. Subsequently, lost and damaged energies and exergies were calculated, and exergoeconomic factors were determined. The equipments were compared with each other on a graph based on the obtained results. The maximum rate of exergy loss and cost of exergy destruction corresponded to 79.5% and 886,66 $/h, respectively. The maximum exergy losses in a thermal power plant occurred in the boiler, turbine groups, condenser, heating group, pumps, and auxiliary groups. The highest and second highest law efficiencies of the studied thermal power plant corresponded to 32.3% and 28.5%, respectively. The study also involved presenting suggestions for improvement. Additionally, exergoeconomic analyses were conducted while considering the power plants? investment and equipment maintenance costs. It is expected that the calculation method and the obtained results can be applied to other thermal power plants.
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17

Shchinnikov, Pavel, Alina Frantseva, and Ivan Sadkin. "Aggregate estimation of investments in power plant units using a parametric power function." Science Bulletin of the Novosibirsk State Technical University, no. 2-3 (November 13, 2020): 123–38. http://dx.doi.org/10.17212/1814-1196-2020-2-3-123-138.

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In the course of designing new generating equipment for power plants and their thermal circuits, in the absence of information about their cost, analog indicators and/or expert assessments are used in the design practice. This approach allows us to compare various options if they can be brought to a comparable form and when the same type of equipment is used. When it is necessary to compare options that differ not only in the specified capacity, but also in the equipment configuration, a more accurate assessment of investment is required. The article proposes a method for estimating capital investment in power plants using a power parametric function. Capital investment is assessed for each unit of the power plant and its engineering system. A special feature of the approach is that the higher the cost of the unit is, the higher its thermodynamic characteristics, power, time of load use, etc. These factors are taken into account by the exponent in the power function. In addition, the correction coefficients take into account the configuration of the equipment, its climatic design, and configuration features. The combination of factors that are taken into account in the power function makes it possible to obtain an estimate of the cost of equipment in different versions. The uniformity of the problem statement makes it possible to apply the approach both to design tasks and to scientific and applied tasks of comparing the existing, newly developed and promising technologies. This paper presents the updating and development of the method developed in previous years at the department of thermal power plants of NSTU. Equations for determining investment in the main units and technical systems of power plants are presented. Estimates of investment in power plants currently under construction in Russia are made. It is shown that investment in power plants in Russia is 20-50% lower than in the USA and Europe, and 20-30% higher than in China.
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18

Hao, Hui Di, Tian Zhai, Yong Fang Zhang, Jian Yong Lei, Tian Qi Cheng, and Na Zhu. "Flue-Gas Desulfurization Technology and its Equipment." Advanced Materials Research 788 (September 2013): 466–70. http://dx.doi.org/10.4028/www.scientific.net/amr.788.466.

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The peak of power consumption will be brought by the rapid development of the industry. Thermal power is still the main component of electric energy at present. More and more attention has been paid on the atmospheric pollution caused by the thermal power plant in our country. The sulfur dioxide (SO2), one of the thermal power plant flue gases, is dangerous to the environment and human. Effective SO2 control technology can not only reduce the environmental pollution but also the sulfur can be recovered in order to conserve resources.
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19

Xie, Hai Jiang, and Wei Li Li. "Application Research of Electrical Automation Technology for Power Plant." Applied Mechanics and Materials 721 (December 2014): 595–98. http://dx.doi.org/10.4028/www.scientific.net/amm.721.595.

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The electrical automation technology is an advanced technology, in power plants, mainly giving play to the role of monitoring, monitoring analysis for the operation condition of the electric, also can have the data signal feedback function. Electrical automation technology is mostly play the function of monitoring, during the running of the electrical equipment, the equipment running status monitoring, through the analysis of the data and feedback, can timely find problems arising from the operation, and warning. In power plants, the use of automation technology also analysis and remote data transmission, realize the online management of equipment, improving the efficiency and quality of power plants. Electrical automation technology applications for the future development of the power plant provide a favorable environment.
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20

Karim, Sarang, Halar Haleem Memon, Shahzeb Ansari, Kashif Hussain, and Bhawani Shanker Chowdhry. "Optimization of Power Plant for Telecom Sector Based on Embedded System." January 2019 38, no. 1 (January 1, 2019): 209–20. http://dx.doi.org/10.22581/muet1982.1901.17.

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Modern Telecom Sector is eventually facing exceptionally tough challenges because of continuous and unexpected increase in power density requirement for the communicating machinery and equipment. To fulfil the power requirements for the equipment, a significant architecture and an optimal technique must be introduced. In this paper, a microcontroller-based optimization use of power-density has been carried out. Meeting above requirements, various equipment and electronic devices are employed. We have designed a microcontroller-based system via PROTEUS Virtual System Modeling to acquire efficient and effective results. The main focus of our work is to supply the power to Telecom equipment in meantime. The power is feeding on batteries and DG (Diesel Generator) set, depending on the condition of the power requirements. The changeover operations are performed by different relays, which are dully programmed via a microcontroller in Keil software. The power capacity of Telecom ((Telecommunication) equipment is ranged from 39-48 Volts DC. The rectification process is done by switch mode rectifiers instead of linear rectifiers. Because the switch-mode rectifier technology has brought fabulous improvements in power density as compared to linear rectifiers. This is done via simulation of the smart switch in PROTEUS software. The outcomes of the proposed system are costeffective in terms of fuel consumption of DG.
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21

Chen, Shu-chun. "Research on Electrical Automation Monitoring System Model of Power Plant Based on CAN Bus." Journal of Electrical and Computer Engineering 2022 (April 11, 2022): 1–11. http://dx.doi.org/10.1155/2022/4858826.

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Using the traditional manual operation mode to control the electrical equipment of the power plant was not only inefficient and unsafe but also difficult to adapt to the use of new equipment. Therefore, this article puts forward the research on the model of power plant electrical automation monitoring system based on CAN bus, which was of great significance to improve the operation monitoring ability and management efficiency of power plant electrical equipment. Based on the analysis of the design mode and main functions of electrical equipment automation control system in power plant, this article expounded on the characteristics of CAN bus communication mode and its advantages in realizing electrical equipment automation control. According to the hierarchical management and structural characteristics of the electrical automation monitoring system, the real-time database architecture of the monitoring system was established, the real-time data monitoring and processing method of the electrical monitoring system was given, and then the electrical automation monitoring system model of the power plant was proposed. The experimental results showed that the electrical automation monitoring system proposed in this article was effective and feasible for real-time monitoring of the operation of electrical equipment. The model construction method of the electrical automation monitoring system proposed in this article can provide theoretical reference and technical support for improving the control mode of electrical equipment in power plants.
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22

Savinov, Yu M., Nikitenko A.A, Rimkevich S.V, Sekerin V.D, and Gorokhova A.E. "Trade in Power Plant Equipment: Features of Managing International Cooperation." Journal of Advanced Research in Dynamical and Control Systems 12, no. 05-SPECIAL ISSUE (May 30, 2020): 1222–31. http://dx.doi.org/10.5373/jardcs/v12sp5/20201878.

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23

Bubenchikov, Anton, Vitaliy Belyaev, and Maksim Golovanov. "A Review of Design Solutions for Wind Power Plant Equipment." Vestnik MEI, no. 2 (June 14, 2022): 34–44. http://dx.doi.org/10.24160/1993-6982-2022-2-34-44.

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24

Genbach, Alexander, Hristo Beloev, David Bondartsev, and Natalia Genbach. "Heat exchange crisis in mesh structures of power plant equipment." Thermal Science, no. 00 (2021): 305. http://dx.doi.org/10.2298/tsci210314305g.

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Thermal devices with porous structures, intended for the combustion chambers of gas turbine units, as well as for cutting and boring of the turbine housings of electric power plants have been developed and studied. Photographs of combustion chambers and nozzles, studied in terms of their geometry and thickening of the nozzle walls, excess oxidant (0.3?0.8) and the operating conditions until the limit state of the metal is reached (1?106 W/m?) have been presented. The optimal geometry of the chambers and nozzles, as well as the type of porous structure have been determined. Coolant consumption has been reduced dozens of times, which has environmental significance. The appraisal of the structures studied showed the advantages to the flow cooling system. An analytical model of the heat exchange crisis is proposed. The system of differential equations for one-dimensional flow of one-phase liquid is solved. A physical picture of the heat exchange process is presented. In the equation of motion, the coefficient which determines the viscosity in the general pressure gradient is introduced. The actual velocity of the fluid is accounted for by the coefficient of moisture content in the porous structure.
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25

Chang, Sang-Gyoon, Tae-Kyo Kang, Jong-Min Kim, and Jong-Pil Jung. "Code Requirements for Fuel Handling Equipment at Nuclear Power Plant." Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT) 20, no. 1 (March 30, 2022): 119–26. http://dx.doi.org/10.7733/jnfcwt.2022.009.

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26

Pourbeik, Pouyan, Randy Rhinier, Shih-Min Hsu, Bajarang Agrawal, and Ron Bisbee. "Semiautomated Model Validation of Power Plant Equipment Using Online Measurements." IEEE Transactions on Energy Conversion 28, no. 2 (June 2013): 308–16. http://dx.doi.org/10.1109/tec.2013.2242074.

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27

Prvulović, Slavica, Jasna Tolmac, Milica Joksimović, and Dafina Dragičević. "Biogas equipment for electricity and heating." Scientific Technical Review 70, no. 1 (2020): 17–20. http://dx.doi.org/10.5937/str2001017p.

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The paper gives an example of a biogas plant used for electricity and heat production. First, the role and importance of the biogas plant is presented, then an overview of the raw materials used for biogas production is given, a project of the biogas plant with constituent elements is given, as well as a description of the technological process and elements of the biogas plant. The calculation of biogas consumption for the needs of the power plant of 0.999 MW has also been performed.
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28

Golneshan, Ali Akbar, and Hossain Nemati. "Comparison of six gas turbine power cycle, a key to improve power plants." Mechanics & Industry 22 (2021): 8. http://dx.doi.org/10.1051/meca/2021005.

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It is required to sake methods to improve the power plant performance. Most of the proposed methods can be commenced only in the design stapes. However, the main question of this study is “What can we do to improve the performance of a running power plant?” The first answer to this question is that monitoring the site and periodic overhaul can keep a power plant in its acceptable condition. However, this answer is very qualitatively and needs more precise information like which parameters shall be monitored or which equipment needs more care in the overhaul. In this study, important parameters and the method of their calculations are introduced that must be monitored and compared. Six similar gas turbine power cycles were selected to be compared deeply during a day in this study. In this way, many data were collected every five minutes. Unlike most of the previous studies, this one concerns with maintenance policy and repair strategy. Results of this comparison lead to answer to these questions that which equipment needs special care? Finally, it was shown that in each unit, which equipment needs more attention and which one can be considered as a standard for the others.
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29

Kim, Bum Shin, and Gee Wook Song. "Development of Web Based Power Plant Maintenance Management System." Key Engineering Materials 297-300 (November 2005): 2700–2706. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2700.

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For prevention of failure and extension of maintenance interval, many Asian power companies have continuously tried to apply Condition Based Maintenance system to their plants. However, only few companies succeed to change their maintenance system from fixed time based to equipment condition based, although there are many brand new ITs, such as high speed computing system, huge storage device, and advanced development software tools. This paper describes the reasons why they failed to change and proposes the solutions to construct maintenance management system based on equipment condition. The solutions were also applied practically to power plant in Korea.
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30

Gu, Yu Jiong, Si Yuan Zhao, Kun Liang Chen, and Kun Yang. "State Evaluation for Power Plant Equipment Based on Deviation of Operating Parameters." Advanced Materials Research 199-200 (February 2011): 495–99. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.495.

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In view of which the state of equipment cannot be obtained accurately in real-time, a new method of state evaluation is proposed in this paper. Through Fault Tree Analysis (FTA) and Failure Mode Effects and Criticality Analysis (FMECA), the impact of parameters on equipment state is researched and the deviation is defined to quantify the variation of the state of equipment. The evaluating model based on deviation is established and illustrated with an example. The studied case is about the state evaluation for rotor blade and the application proves the method to be effective in the state evaluation for power plant equipment.
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31

Grganić, Hrvoje, Davor Grgić, and Siniša Šadek. "Room Classification Based on EMC Conditions in Nuclear Power Plants." Energies 13, no. 2 (January 11, 2020): 359. http://dx.doi.org/10.3390/en13020359.

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Electromagnetic compatibility (EMC) in nuclear power plants today mostly relies on the qualification tests of the new equipment and adhering to some good installation practices. Diversity of the electromagnetic environment and different susceptibility of the plant equipment calls for a systematic classification of the EMC zones in a nuclear power plant. The paper proposes a methodology that uses a combination of the qualification tests, in situ and bench immunity tests, site survey measurements, operational experience, and numerical calculations to divide a nuclear power plant into a reasonable number of EMC zones. This would primarily help to have a better overview of the current EMC level in the plant and to unify emission and susceptibility requirements for the new equipment. In this paper, special attention is given to the preparation and performance of the in situ tests, which present the most challenging step of the methodology. In addition, the paper proposes some of the possible applications of the numerical calculations and addresses their challenges and limitations. The novel classification methodology, inspired by the equipment qualification program, is illustrated with examples from Krško Nuclear Power Plant, which recently performed a comprehensive EMC assessment.
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32

Yang, Yulei, Kaifeng Chen, Zhanyuan Wu, Haocheng Xu, Jinliang Liu, and Lun Li. "Design and Application of Intelligent Unmanned Spot Inspection System in Thermal Power Plant." Journal of Physics: Conference Series 2254, no. 1 (April 1, 2022): 012017. http://dx.doi.org/10.1088/1742-6596/2254/1/012017.

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Abstract Thermal power plant is a typical equipment-intensive enterprise, and regular inspection and spot inspection of production equipment is the most important measure to find equipment defects in time and ensure safe production of enterprises. In many years of practical application, the traditional inspection method, which relies mainly on visual inspection by spot inspectors, has been widely used. There are many shortcomings, such as missing detection, low efficiency, insufficient depth of data mining and high security risk. Based on the equipment management mode of spot inspection and regular maintenance in power plants, this paper proposes an unmanned intelligent spot inspection system for power plants, which combines intelligent sensors with diagnostic algorithms, by sorting out the work content of traditional manual spot inspection. The intelligent and unmanned management of spot inspection and regular repair in thermal power plants is realized, which has certain reference significance for improving the operation reliability of power plants and reducing the safety risk of spot inspection personnel.
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33

Larson, D. L. "Performance of the Coolidge Solar Thermal Electric Power Plant." Journal of Solar Energy Engineering 109, no. 1 (February 1, 1987): 2–8. http://dx.doi.org/10.1115/1.3268173.

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Energy performance and equipment evaluation results are presented for the grid-connected Coolidge solar thermal-electric power plant. Performance was determined for each of the major subsystems—line-focus collector array, thermal energy storage and 200 kW, organic Rankine cycle engine and generator. Day-long collector array efficiency was about 32, 26, and 9 percent in June, September, and December, respectively. Energy conversion efficiency was about 20 percent; electrical parasitics reduced this by 12 percent. Operation and maintenance required about 90 h/mo, only 20 percent requiring special skills or training. Operating supplies and repair services cost about $6300 per year. Major equipment problem catagories were fluid leakage and electric motor and electronic component failures. The presented operating data provide a basis for improved design and analysis.
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34

Zheng, Li Kun, Kun Feng, Xiao Qing Xiao, and Wei Qiao Song. "Early Warning of Power Plant Equipment Based on Massive Real-Time Data Mining Technology." Applied Mechanics and Materials 599-601 (August 2014): 1487–90. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1487.

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This paper mainly discusses the application of the mass real-time data mining technology in equipment safety state evaluation in the power plant and the realization of the equipment comprehensive quantitative assessment and early warning of potential failure by mining analysis and modeling massive amounts of real-time data the power equipment. In addition to the foundational technology introduced in this paper, the technology is also verified by the application case in the power supply side remote diagnosis center of Guangdong electric institute.
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35

Palkov, Serhii A., and Ihor A. Palkov. "Calculated Determination of the Seismic Resistance of Nuclear Power Plant Equipment." Journal of Mechanical Engineering 24, no. 2 (June 30, 2021): 24–36. http://dx.doi.org/10.15407/pmach2021.02.024.

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An algorithm to confirm the seismic resistance of equipment by a calculation method is proposed, and the limits of its application are determined. A mathematical model of the equipment is developed, and an example of the determination of natural frequencies and stresses for a three-dimensional structure is given. Two main types of calculation were used – static and dynamic. In the static calculation, the stress-strain state of a structure was determined. The values of the obtained stresses were compared with the allowable ones for the materials used, on the basis of which conclusions were made about the strength of the structure under seismic effects. The dynamic calculation resulted in the determination of the rigidity of the structure. The comparison of the stress values obtained for this equipment allowed us to make a conclusion regarding its resistance to seismic effects. The seismic resistance of the equipment was estimated on the example of the K-1000-60 / 1500 steam turbine condenser, and calculated at a seismic intensity of 6 points on the MSK-64 seismic intensity scale. In the course of solving this problem, results of the stress distribution in the housing and other structural elements of the condenser due to the action of combined normal operation and design-basis seismic loads were obtained. The seismic resistance of the equipment was calculated using the finite element method. This allowed us to present a solid body in the form of a set of individual finite elements that interact with each other in a finite number of nodal points. To these points are applied some interaction forces that characterize the influence of the distributed internal stresses applied along the real boundaries of adjacent elements. To perform such a calculation in CAD modeling software, a three-dimensional model was created. The obtained geometric model was imported into the software package, which significantly reduced complexity. The use of the calculation method allows us to significantly reduce the amount of testing when confirming the seismic resistance of equipment. Results of the assessment of the spatial complex stress state of the steam turbine condenser design due to the action of combined normal operation and design-basis seismic loads are obtained.
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36

Kostikov, Andrii O., Leonid I. Zevin, Hennadii H. Krol, and Anna L. Vorontsova. "The Optimal Correcting the Power Value of a Nuclear Power Plant Power Unit Reactor in the Event of Equipment Failures." Journal of Mechanical Engineering 25, no. 3 (September 30, 2022): 40–45. http://dx.doi.org/10.15407/pmach2022.03.040.

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The paper considers the problem of adjusting the power of a nuclear power plant power unit reactor for those cases when equipment failure occurs. In such circumstances, sometimes it is sufficient to reduce the reactor power, while maintaining the probabilistic level of safe operation of the power unit. The rational number of the reactor power is determined by solving the problem of minimizing the risk criterion in the integral root mean square context. In order to demonstrate the efficiency of the proposed approach, a numerical example is considered. The approach outlined in the paper is focused on improving the power unit control in case of equipment failures.
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37

Korolyov, O. V., O. V. Derevyanko, and O. Yu Pogosov. "Twin-rotor combined turbine drive with a transmission for the nuclear power plant equipment emergency water supply system." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 2 (December 15, 2014): 88–91. http://dx.doi.org/10.15276/opu.2.44.2014.17.

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38

Fu, X. L., L. P. Zhang, J. Tian, X. J. Shao, J. Du, Y. Zhang, and Z. Y. Liu. "Plastic Strain Correction in Fatigue Analysis of Nuclear Power Plant Equipment." Strength of Materials 53, no. 1 (January 2021): 183–88. http://dx.doi.org/10.1007/s11223-021-00274-2.

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39

Shuai, Zhang, Wu Zhengfeng, and Wu Changhao. "Diagnosis and Treatment of Unbalance about Power Plant Rotating Auxiliary Equipment." E3S Web of Conferences 271 (2021): 01007. http://dx.doi.org/10.1051/e3sconf/202127101007.

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This paper introduces the characteristics of unbalanced fault and the handling method of rigid rotor unbalanced fault, and expounds the handling process of large fan unbalanced fault through two balancing cases, which can be used for reference to the fault analysis and handling of the unbalanced fault of power plant rotating auxiliary equipment.
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40

Panneer Selvam, R., and Yamini Gupta. "Seismic Qualification of Safety-Related Electrical Equipment in Nuclear Power Plant." Power Research - A Journal of CPRI 16, no. 1 (June 30, 2020): 73. http://dx.doi.org/10.33686/pwj.v16i1.153169.

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41

Stashenko, V. I., O. B. Skvorcov, and O. A. Troickij. "Design of mechanical properties of structural materials for power plant equipment." IOP Conference Series: Materials Science and Engineering 1005 (December 16, 2020): 012021. http://dx.doi.org/10.1088/1757-899x/1005/1/012021.

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42

Mayadevi, N., S. S. Ushakumari, and S. S. Vinodchandra. "SCADA-based Operator Support System for Power Plant Equipment Fault Forecasting." Journal of The Institution of Engineers (India): Series B 95, no. 4 (July 4, 2014): 369–76. http://dx.doi.org/10.1007/s40031-014-0117-9.

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43

Buratynskyi, I. M., T. P. Nechaieva, and S. V. Shulzhenko. "Optimization of the equipment structure of a photovoltaic solar power plant." Problems of General Energy 2020, no. 2 (July 10, 2020): 17–22. http://dx.doi.org/10.15407/pge2020.02.017.

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44

Boiarski, A. A., G. Pilate, T. Fink, and N. Nilsson. "Temperature measurements in power plant equipment using distributed fiber optic sensing." IEEE Transactions on Power Delivery 10, no. 4 (1995): 1771–78. http://dx.doi.org/10.1109/61.473381.

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45

Kobori, Takuji, Hiroo Kanayama, and Shuichi Kamagata. "Active seismic response control systems for nuclear power plant equipment facilities." Nuclear Engineering and Design 111, no. 3 (February 1989): 351–56. http://dx.doi.org/10.1016/0029-5493(89)90245-8.

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46

Tazuke, Hideyuki, Satoru Yamaguchi, Kazuo Ishida, Tomoki Sakurai, Hiroshi Akiyama, and Toshio Chiba. "Seismic Proving Test of Equipment and Structures in Thermal Conventional Power Plant." Journal of Pressure Vessel Technology 124, no. 2 (May 1, 2002): 133–43. http://dx.doi.org/10.1115/1.1460905.

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The importance of ensuring uninterrupted electric power supply was reaffirmed on the occasion of the Hyogoken-Nanbu Earthquake in 1995, when the district was affected by extended power failure. The notice has been attached to the resistance of power generation facilities to severe earthquake. The seismic proving test of equipment and structures in thermal conventional power plant was conducted. Tests were performed to demonstrate the earthquake resistant property of the LNG tank and to verify the validity of the FEM analysis. It was adopted for analyzing lateral slipping and EFB. With the comprehensive evaluation of tests and analysis, the seismic capability of LNG tank was assessed.
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47

hao-Li, Jing. "Application of the unmanned inspection system in power generation enterprises." Journal of Physics: Conference Series 2399, no. 1 (December 1, 2022): 012040. http://dx.doi.org/10.1088/1742-6596/2399/1/012040.

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Abstract In the power generation company, it is the unmanned inspection system that can through visual image recognition, infrared monitoring, and fixed-point sensor complete the real-time monitoring of the plant area and equipment, through the system building perception layer, network layer, and application layer realizes the remote control command issued, and complete the equipment running status and working parameters of the real-time monitoring and remote control. Through the design of the bearing state feature extraction method and the fusion of machine mechanism, and artificial intelligence data processing method, the intelligent diagnosis and early warning of the whole plant equipment are realized, and the one-click inspection of power generation enterprises is achieved.
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48

Egorov, Mikle, Anastasiya Ukolova, Ivan Kovalenko, Irina Krectunova, Nataliya Lavrovskaya, and Nadezhda Litvinova. "Increasing the efficiency of nuclear power plant equipment at the design stage." E3S Web of Conferences 178 (2020): 01008. http://dx.doi.org/10.1051/e3sconf/202017801008.

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It is possible to increase the efficiency of the nuclear power plants equipment in various ways. In particular, one of the most relevant is the active use of computer modeling at different stages of work. The effectiveness the software package used directly affects the quality of the installation equipment. Depending on the stage at which the software package is used, it has various priority properties for the most effective application.
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49

Shchinnikov, P. A., A. A. Frantseva, and I. S. Sadkin. "Evaluation of capital investments in energy equipment of a power plant by a power function." Journal of Physics: Conference Series 1652 (October 2020): 012024. http://dx.doi.org/10.1088/1742-6596/1652/1/012024.

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50

Babunski, Darko, Pance Bogoevski, Emil Zaev, and Atanasko Tuneski. "Modification of Nonlinear Hydro Power Plant Models Using Real Plant Measurements." Energija, ekonomija, ekologija 22, no. 1-2 (2020): 126–30. http://dx.doi.org/10.46793/eee20-1-2.126b.

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Simulation models of Hydro Power Plant (HPP) are complex and highly nonlinear control system, composed of tunnel, penstock, surge tank, hydro turbine and hydroelectrical governor models. Hydro Power Plant (HPP) models recommended by the IEEE working group is revised and is used for simulation of the transient and static response of the system of hydro turbine and auxiliary equipment. Verification was made using measurements of static and transient responses from real HPP. Modification of simulation model is made after comparison of the simulated response of the HPP simulation model and real response of the HPP with PID controller. Modification and adjustment of the two parameters of the model is made to adjust the static response of the model without affecting transient response and with consideration of smallest frequency and power error.
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