Investigation on the Maintenance Scheduling Method for Steam Turbine Damage Assessment through Bivariate Statistical Analysis
Author:
Affiliation:
1. Department of Mechanical Engineering, Faculty of Science and Technology, Meijo University
2. Meijo University
3. Toshiba Corporation Power Systems Company, Powe and Industrial Systems R&D Center
Publisher
Society of Materials Science, Japan
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
Reference9 articles.
1. 1) S. Sakai, “Fundamentals in risk-based engineering”, Journal of Japan Inst. Metals, Vol.66, No.12, pp.1170-1176(2002).
2. 2) K. Fujiyama, K. Saito, T. Fujiwara, H. Kodama, H. Kichise, M. Okazaki and K. Takagi, “Risk-based life prediction and maintenance methods for steam turbines”, Journal of Japan Inst. Metals, Vol.66, No.12, pp.1199-1205 (2002).
3. 3) K. Fujiyama, T. Fujiwara, H. Kodama, K. Saito, H. Kichise and M. Okazaki, ”Risk assessment method for steam turbines based on the reliability analysis of field data”, Journal of JSMS, Vol.52, No.1,p.28-33 (2003).
4. 4) K. Fujiyama, T. Fujiwara, Y. Nakatani, K. Saito, A. Sakuma, Y. Akikuni, S. Hatashi and S. Matsumoto, “Application of the unified statistical material database for design and life/risk assessment of high temperature components”, Acta Metallurgica Sinica, Vol.17, No.4, pp.338-344 (2004).
5. 5) K. Fujiyama, S. Nagai, Y. Akikuni, T. Fujiwara, K. Furuya, S. Matsumoto, K. Takagi and T. Kawabata, "Risk-based inspection and maintenance systems for steam turbines", Intern. Journal of Pressure Vessels and Piping 81, pp.825-835(2004).
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1. Bivariate statistical analysis through cumulative hazard function method for plant damage incident evaluation;Transactions of the JSME (in Japanese);2020
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