蒸気タービン損傷の2変数統計解析による保全時期設定法の検討

• 藤山 一成

  名城大学 理工学部機械工学科

• 飯田 雄大

  名城大学 理工学部

• 齊藤 和宏

  （株）東芝 電力システム社 電力・社会システム技術開発センター

書誌事項

タイトル別名

• Investigation on the Maintenance Scheduling Method for Steam Turbine Damage Assessment through Bivariate Statistical Analysis
• ジョウキ タービン ソンショウ ノ 2 ヘンスウ トウケイ カイセキ ニ ヨル ホゼン ジキ セッテイホウ ノ ケントウ

抄録

Bivariate log-normal distribution analyses were conducted on the specific output class of steam turbine components such as rotors, moving blades, nozzles, casings. The damage phenomena were erosion, creep deformation, fatigue cracking, wear, fouling, scoring and so on excluding the repeated events after repairs. Using the statistical parameters such as mean and variance, the events were plotted against operation time and start up cycles. The order of event occurrence was determined by the time-cycle based statistical data manipulation. The prescribed risk values for individual events could be easily transformed to the equi-risk ellipse contours of chi-square distribution of parameter Q as the quadratic function of operation and start-up cycles derived from the bivariate log-normal distribution on the cycle-time diagram. The expected values of total maintenance costs for repairing the individual damage were obtained by the sum of ellipse contours of respective damage modes in the subject components. This diagram could be a useful measure of expecting maintenance period to minimize the total cost by controlling operation patterns both considering start-up cycles and operation hours.

収録刊行物

• 材料

  材料 64 (3), 223-228, 2015

  公益社団法人 日本材料学会

キーワード

• Bivariate log-normal distribution
• Steam turbine
• Damage
• Repair
• Optimization
• Operation

詳細情報

• CRID: 1390001205446126592
• NII論文ID: 130004749949
• NII書誌ID: AN00096175
• DOI: 10.2472/jsms.64.223
• ISSN: 18807488
• ISSN: 05145163
• NDL書誌ID: 026263810
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I026263810
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可