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Research on the evaluation method of steam power system operation status based on the theory of deterioration degree and health value


  • Received: 01 November 2022 Revised: 06 December 2022 Accepted: 11 December 2022 Published: 05 January 2023
  • The evaluation of the steam power system is very important for the operator to understand the operating status of the system, but the lack of consideration of the fuzziness of the complex system and the impact of the indicator parameters on the whole system makes the evaluation difficult. In this paper, an indicator system for evaluating the operation status of the experimental supercharged boiler is established. After discussing several methods of parameter standardization and weight correction, a comprehensive evaluation method based on the deterioration degree and health value is proposed while considering the deviation of the indicator and the fuzziness of the system. The comprehensive evaluation method, the linear weighting method and the fuzzy comprehensive evaluation method are respectively used to evaluate the experimental supercharged boiler. The comparison of the three methods shows that the comprehensive evaluation method is more sensitive to minor anomalies and faults and can draw quantitative health assessment conclusions.

    Citation: Kaiyu Li, Xinxin Cai, Shuang Huang, Yuanbao Chen, Jinyang Li, Wenlin Wang. Research on the evaluation method of steam power system operation status based on the theory of deterioration degree and health value[J]. Mathematical Biosciences and Engineering, 2023, 20(3): 4940-4969. doi: 10.3934/mbe.2023229

    Related Papers:

  • The evaluation of the steam power system is very important for the operator to understand the operating status of the system, but the lack of consideration of the fuzziness of the complex system and the impact of the indicator parameters on the whole system makes the evaluation difficult. In this paper, an indicator system for evaluating the operation status of the experimental supercharged boiler is established. After discussing several methods of parameter standardization and weight correction, a comprehensive evaluation method based on the deterioration degree and health value is proposed while considering the deviation of the indicator and the fuzziness of the system. The comprehensive evaluation method, the linear weighting method and the fuzzy comprehensive evaluation method are respectively used to evaluate the experimental supercharged boiler. The comparison of the three methods shows that the comprehensive evaluation method is more sensitive to minor anomalies and faults and can draw quantitative health assessment conclusions.



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    [1] X. Chen, Study on Boilers Operation Status Monitoring and Economic Evaluation of Coal Fired Power Plant, MA thesis, Shanghai Jiaotong University, 2019. https://doi.org/10.27307/d.cnki.gsjtu.2019.001380
    [2] M. N. Maidanik, A. N. Tugov, V. A. Vereshchetin, Assessment of boiler units' technical state based on quality indicators, Thermal Eng., 67 (2020), 216–222. https://doi.org/10.1134/S0040601520040047 doi: 10.1134/S0040601520040047
    [3] S. Xu, Research on the Evaluation Method of the Overall Performance of Nuclear Power Plant based on Test Data, MA thesis, Harbin Engineering University, 2018.
    [4] K. OIen, I. B. Utne, I. A. Herrera, Building safety indicators: Part 1 - theoretical foundation, Saf. Sci., 49 (2011). https://doi.org/10.1016/j.ssci.2010.05.012 doi: 10.1016/j.ssci.2010.05.012
    [5] D. Mavris, D. Delaurentis, An integrated approach to military aircraft selection and concept evaluation, Georgia Institute of Technology, 1995. https://doi.org/10.2514/6.1995-3921
    [6] Y. B. Wan, Study on the comprehensive evaluation method of technical status of marine power plant, Equip. Manuf. Technol., 7 (2014), 167–169. https://doi.org/10.3969/j.issn.1672-545X.2014.07.060 doi: 10.3969/j.issn.1672-545X.2014.07.060
    [7] L. Xu, Fault and safety analysis of ship nuclear power plant based on AHP, Traffic Inform. Saf., 33 (2015), 95–99. https://doi.org/10.3963/j.issn.1674-4861.2015.01.016 doi: 10.3963/j.issn.1674-4861.2015.01.016
    [8] G. N. Zhu, H. Jie, J. Qi, C. C. Gu, Y. H. Peng, An integrated AHP and VIKOR for design concept evaluation based on rough number, Adv. Eng. Inform., 29 (2015). https://doi.org/10.1016/j.aei.2015.01.010 doi: 10.1016/j.aei.2015.01.010
    [9] N. Saqib, M. T. Siddiqi, Aggregation of safety performance indicators to higher-level indicators, Reliab. Eng. Syst. Saf., 93 (2006). https://doi.org/10.1016/j.ress.2006.10.028 doi: 10.1016/j.ress.2006.10.028
    [10] C. O. Shin, S. H. Yoo, S. J. Kwak, Applying the analytic hierarchy process to evaluation of the national nuclear R & D projects: The case of Korea, Prog. Nucl. Energy, 49 (2007), 375–384. https://doi.org/10.1016/j.pnucene.2007.03.001 doi: 10.1016/j.pnucene.2007.03.001
    [11] A. Srividya, H. N. Suresh, A. K. Verma, Fuzzy AHP in prioritizing feeders for maintenance in nuclear power plants, in 2007 IEEE International Conference on Industrial Engineering & Engineering Management, (2007), 149–153. https://doi.org/10.1109/IEEM.2007.4419169
    [12] Y. L. Du, Research on Fault Diagnosis and Condition Maintenance of Electrical Equipment in Thermal Power Plant, MA thesis, Wuhan University of Water Resources and Electricity, 2000.
    [13] H. A. Gabbar, H. Yamashita, K. Suzuki, Y. Shimada, Computer-aided RCM-based plant maintenance management system, Rob. Comput. Integr. Manuf., 19 (2003), 449–458. https://doi.org/10.1016/S0736-5845(03)00031-0 doi: 10.1016/S0736-5845(03)00031-0
    [14] X. Jiang. Modeling and optimization of maintenance systems, University of Toronto, 2001.
    [15] T. Qin, Fuzzy evaluation method for comprehensive evaluation of thermal power plants, J. Eng. Therm. Energy Power, 25 (2010), 473–477. https://doi.org/CNKI:SUN:RNWS.0.2010-05-002
    [16] Y. J. Gu, Comprehensive evaluation of power generation equipment status based on fuzzy evaluation and RCM analysis, J. Electr. Eng. China, 06(2004), 193–198. https://doi.org/10.13334/j.0258-8013.pcsee.2004.06.037. doi: 10.13334/j.0258-8013.pcsee.2004.06.037
    [17] W. J. Sperko, Changes to the ASME boiler and pressure vessel code section IX, Welding Journal, 100 (2021).
    [18] R. B. Keating, S. P. McKillop, T. Allen, M. Anderson, ASME boiler and pressure vessel code roadmap for compact heat exchangers in high temperature reactors, J. Nucl. Eng. Radiat. Sci., 6 (2020). https://doi.org/10.1115/1.4047113 doi: 10.1115/1.4047113
    [19] V. Payghan, D. N. Jadhav, G. Y. Savant, S. Bharadwaj, Design and analysis of steam drum based on ASME boiler and pressure vessel code, Section VIII Div.2 & Div.3, Appl. Mech. Mater., 852 (2016), 511–527. https://doi.org/10.4028/www.scientific.net/AMM.852.511 doi: 10.4028/www.scientific.net/AMM.852.511
    [20] A. R. Paul, F. Alam, Compliance of boiler standards and industrial safety in Indian subcontinent, Int. J. Eng. Mater. Manuf., 3 (2018). https://doi.org/10.26776/ijemm.03.04.2018.02 doi: 10.26776/ijemm.03.04.2018.02
    [21] Oil and Gas Journal group, EPA outlines schedule for updating boiler standards, Oil Gas J., 109 (2011).
    [22] D. Suvam, S. Sarkar, D. P. Kanungo, GIS-based landslide susceptibility zonation mapping using the analytic hierarchy process (AHP) method in parts of Kalimpong Region of Darjeeling Himalaya, Environ. Monit. Assess., 194 (2022), 234. https://doi.org/10.1007/s10661-022-09851-7 doi: 10.1007/s10661-022-09851-7
    [23] E. B. W. Wassouo, M. Arsène, N. M. Théophile, K. M. E. Bruno, O. A. Oliviera, Integration of shannon entropy (SE), frequency ratio (FR) and analytical hierarchy process (AHP) in GIS for suitable groundwater potential zones targeting in the Yoyoriver basin, Méiganga area, Adamawa Cameroon, J. Hydrol. Reg. Stud., 39 (2022), 100997. https://doi.org/10.1016/j.ejrh.2022.100997
    [24] de S. O. Silva, M. T. B. de Oliveira, E. Oliveira, L. R. Conceição, G. S. Junqueira, A. L. M. Marcato, et al., Performance evaluation of Hydro generating units through the AHP method, J. Control Autom. Electr. Syst., 33 (2022), 1056–1065. https://doi.org/10.1007/s40313-021-00839-1 doi: 10.1007/s40313-021-00839-1
    [25] Q. Li, H. Hua, L. Ma, Z. Wang, M. Arıcı, D. Li, et al., Evaluation of energy-saving retrofits for sunspace of rural residential buildings based on orthogonal experiment and entropy weight method, Energy for Sustainable Dev., 70 (2022), 569–580. https://doi.org/10.1016/J.ESD.2022.09.007 doi: 10.1016/J.ESD.2022.09.007
    [26] W. Q. Liu, Penalty in variable weight synthesis: Incentive utility, Syst. Eng. Theory Pract., 18 (1998), 41–47.
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