Change-point Detection from Margina Count Failure Data
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概要
- 論文の詳細を見る
一般に製品の製造工程は, 種々の原因によりいくつかの時点で変化する.工程に投入される材料や部品の質もまた, それと知らぬうちに変化することがあり, どちらも製品の品質・信頼性の変化に繋がる.本論文では, 工程の観測データではなく, 製品出荷後のフィールド信頼性データのもっとも入手しやすい形態である, 単体期間ごとに集計された修理データから製品の信頼性の変化を検出する方法を提案する.ここでは修理可能な製品の故障のモデルとして, 非斉次ポアソン過程を用いる.そして, 単位期間ごと集計データからの故障率の変化の検出をモデル選択の問題として定式化し, モデル選択の基準としてAICを用いる.提案した手法の性質の数値的な検討を行った結果, 入れ子構造をもたないモデル群からのモデル選択にもAICの適用は有用であることが示された.家庭電化製品の保証期間中のクレーム情報へ本方法を適用し, 実際に変化点が存在することも示した.
- 社団法人日本品質管理学会の論文
- 2001-04-15
著者
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YAMAMOTO Wataru
Department of Medical Oncology, Comprehensive Cancer Center, Saitama Medical University
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Md Rezaul
Graduate School Of Information Systems
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SUZUKI Kazuyukl
Department of Systems Engineering, The University of Electro-Communications
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Yamamoto Wataru
Department Of Hematology Yokohama City University Medical Center
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Yamamoto Wataru
Department Of Systems Engineering The University Of Electro-communications
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Suzuki Kazuyuki
Department Of Applied Chemistry Graduate School Of Engineering Nagoya University
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Yamamoto Wataru
Department Of Hematology Yamato City Hospital
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Karim Md.Rezaul
Graduate School of Information Systems, the University of Electro-Communications
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Suzuki Kazuyuki
Department of Systems Engineering, The University of Electro-Communications
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