第14回
RPV 監視試験片の再生方法における 電子ビーム溶接の適用性評価
著者:
山岡 鉄史,Tetsushi YAMAOKA,森島 康雄,Yasuo MORISHIMA,小川 琢矢,Takuya OGAWA,豊田 哲也,Tetsuya TOYOTA,石嵜 貴大,Takahiro ISHIZAKI,櫻谷 誠司,Seiji SAKURAYA,神長 貴幸,Takayuki KAMINAGA,大木 俊,Suguru OOKI
発刊日:
公開日:
キーワードタグ:
Additional RPV surveillance tests are required to extend the operation license of nuclear power plants under the new regulation. Since the number of surveillance test specimens is limited, it is important to establish a reconstitution technique of the surveillance test specimen using the remaining undeformed part of the tested specimen. To evaluate the applicability of electron beam welding, the confirmatory tests such as Charpy impact tests were conducted using unirradiated test specimens reconstituted ...
英字タイトル:
Evaluating the Applicability of Electron Beam Welding to Reconstitution Method of RPV Surveillance Test Specimen
論文
ファジィ・サポートベクターマシンによる 回転機械の複合異常状態の逐次診断法
著者:
薛 紅涛,Hongtao XUE,陳山 鵬,Peng CHEN,神 豊,Yutaka JIN,宮 健三,Kenzo MIYA
発刊日:
公開日:
キーワードタグ:
Abstract: When multi-faults state occurred in a plant rotating machine, because the relationship between fault types and vibration signals measured for the diagnosis are much more complex than the case of single fault, moreover, the condition diagnosis information from vibration signals is ambiguous, especially at early stage, the diagnosis for the multi-faults is more difficult. In order to resolve the problem, this paper proposes a new precise diagnosis method for rotating machinery using support ve...
英字タイトル:
Sequential Diagnosis Method for Multi-faults State of Rotating Machinery Using Fuzzy Support Vector Machine
第10回
逐次ファジィ・ニューラルネットワークによるポンプの精密異常診断
著者:
神 豊,Yutaka JIN,薛 紅涛,Hongtao XUE,李 可,Ke LI,陳山 鵬,Ho JINYAMA,山村 尚広,Naohiro YAMAMURA,水津 明日香,Asuka SUIZU
発刊日:
公開日:
キーワードタグ:
Abstract : This paper presents a precise condition diagnosis method for a centrifugal pump using sequential fuzzy neural network (SFNN). Firstly, the feature signals of fault states are extracted from the measured vibration signals for the pump condition diagnosis in different frequency regions by statistic filter, symptom parameters (SPs) for distinguishing fault types are defined and calculated by using the feature signals. Secondly, to distinguish the pump state, sequential fuzzy neural network (SFN...
英字タイトル:
Precise Diagnosis Method for Centrifugal Pump by Sequential Fuzzy Neural Network
第15回
電子ビーム溶接を用いて再生した衝撃試験片の監視試験への適用性評価
著者:
森島 康雄,小川 琢矢,(東芝ESS),豊田 哲也,(日立GE),石嵜 貴大,(日立製作所),櫻谷 誠司,(日本核燃料開発),神長 貴幸,(東京電力HD)
発刊日:
公開日:
キーワードタグ:
Additional RPV surveillance test are required to extend the operation license of nuclear power plants. Since the number of surveillance test specimens is limited, it is important to establish a reconstitution technique of the surveillance test specimen. Applicability evaluation of reconstituted impact test specimen by electron beam welding for RPV surveillance test were conducted, and it was confirmed that reconstituted impact test specimen was applicable to RPV surveillance test. ...
英字タイトル:
Applicability Evaluation of Reconstituted impact test specimen by electron beam welding for RPV Surveillance Test