The subject of the research is thermal station power equipment, in particular steam turbines and steam turbine plant support equipment. In the modern context, when working lifespan of the power equipment outreached the limit, thus the goal is to assure it performance and availability for producing enough energy and heat. To reach the goal it’s necessary to design and implement the probabilistic models and techniques for power equipment reliability under present day conditions. The probabilistic second derivative output parameters change model of power equipment is first developed by the authors and is the scientific novelty of the research. In the paper the assumptions and suppostitions on which the model is based are described. The practical implication of the model consists of capability of rational maintenance and repair operation term estimation of thermal power plant steam turbines. The model is based on the mathematical statistics methods, probability theory and matrix calculus. The probabilistic model allows forecasting the output characteristics change in time and control actions explicitly. The example of output characteristics change for long term utilization is given. During the research the statistical power equipment elements failure and error material has been acquired and presented in relative failure and error share diagram. The internal and external technical and operational factors influencing the failure statistics are determined. For quantitive reliability estimation of power equipment the set of primary indices, influencing turbine performance and reliability, is presented.
| DOI | 10.11648/j.epes.20190806.12 |
| Published in | American Journal of Electrical Power and Energy Systems (Volume 8, Issue 6, November 2019) |
| Page(s) | 152-157 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Reliability Indices, Probabilistic Model, Control Actions, Turbine, Output Characteristics, Control Parameters
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APA Style
Sultanov Makhsud Mansurovich, Trukhanov Vladimir Mikhailovich, Gorban Yuliya Anatolyevna. (2019). Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions. American Journal of Electrical Power and Energy Systems, 8(6), 152-157. https://doi.org/10.11648/j.epes.20190806.12
ACS Style
Sultanov Makhsud Mansurovich; Trukhanov Vladimir Mikhailovich; Gorban Yuliya Anatolyevna. Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions. Am. J. Electr. Power Energy Syst. 2019, 8(6), 152-157. doi: 10.11648/j.epes.20190806.12
AMA Style
Sultanov Makhsud Mansurovich, Trukhanov Vladimir Mikhailovich, Gorban Yuliya Anatolyevna. Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions. Am J Electr Power Energy Syst. 2019;8(6):152-157. doi: 10.11648/j.epes.20190806.12
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Download@article{10.11648/j.epes.20190806.12,
author = {Sultanov Makhsud Mansurovich and Trukhanov Vladimir Mikhailovich and Gorban Yuliya Anatolyevna},
title = {Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions},
journal = {American Journal of Electrical Power and Energy Systems},
volume = {8},
number = {6},
pages = {152-157},
doi = {10.11648/j.epes.20190806.12},
url = {https://doi.org/10.11648/j.epes.20190806.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20190806.12},
abstract = {The subject of the research is thermal station power equipment, in particular steam turbines and steam turbine plant support equipment. In the modern context, when working lifespan of the power equipment outreached the limit, thus the goal is to assure it performance and availability for producing enough energy and heat. To reach the goal it’s necessary to design and implement the probabilistic models and techniques for power equipment reliability under present day conditions. The probabilistic second derivative output parameters change model of power equipment is first developed by the authors and is the scientific novelty of the research. In the paper the assumptions and suppostitions on which the model is based are described. The practical implication of the model consists of capability of rational maintenance and repair operation term estimation of thermal power plant steam turbines. The model is based on the mathematical statistics methods, probability theory and matrix calculus. The probabilistic model allows forecasting the output characteristics change in time and control actions explicitly. The example of output characteristics change for long term utilization is given. During the research the statistical power equipment elements failure and error material has been acquired and presented in relative failure and error share diagram. The internal and external technical and operational factors influencing the failure statistics are determined. For quantitive reliability estimation of power equipment the set of primary indices, influencing turbine performance and reliability, is presented.},
year = {2019}
}
TY - JOUR T1 - Thermal Power Plant Steam Turbine Output Operational Characteristics Change Probabilistic Model Driven by the Second Derivation Control Actions AU - Sultanov Makhsud Mansurovich AU - Trukhanov Vladimir Mikhailovich AU - Gorban Yuliya Anatolyevna Y1 - 2019/11/25 PY - 2019 N1 - https://doi.org/10.11648/j.epes.20190806.12 DO - 10.11648/j.epes.20190806.12 T2 - American Journal of Electrical Power and Energy Systems JF - American Journal of Electrical Power and Energy Systems JO - American Journal of Electrical Power and Energy Systems SP - 152 EP - 157 PB - Science Publishing Group SN - 2326-9200 UR - https://doi.org/10.11648/j.epes.20190806.12 AB - The subject of the research is thermal station power equipment, in particular steam turbines and steam turbine plant support equipment. In the modern context, when working lifespan of the power equipment outreached the limit, thus the goal is to assure it performance and availability for producing enough energy and heat. To reach the goal it’s necessary to design and implement the probabilistic models and techniques for power equipment reliability under present day conditions. The probabilistic second derivative output parameters change model of power equipment is first developed by the authors and is the scientific novelty of the research. In the paper the assumptions and suppostitions on which the model is based are described. The practical implication of the model consists of capability of rational maintenance and repair operation term estimation of thermal power plant steam turbines. The model is based on the mathematical statistics methods, probability theory and matrix calculus. The probabilistic model allows forecasting the output characteristics change in time and control actions explicitly. The example of output characteristics change for long term utilization is given. During the research the statistical power equipment elements failure and error material has been acquired and presented in relative failure and error share diagram. The internal and external technical and operational factors influencing the failure statistics are determined. For quantitive reliability estimation of power equipment the set of primary indices, influencing turbine performance and reliability, is presented. VL - 8 IS - 6 ER -
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