Automating Time-series Safety Analysis for Automotive Control Systems Using Weighted Partial Max-SMT

• Item type: Journal(1)
• 公開日: 2020-02-15
• タイトル: Automating Time-series Safety Analysis for Automotive Control Systems Using Weighted Partial Max-SMT
• タイトル / 言語: en
• タイトル: Automating Time-series Safety Analysis for Automotive Control Systems Using Weighted Partial Max-SMT
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集：組込みシステム工学] safety analysis, reliability design, FTA, STPA, automotive control systems, state transition systems, trace formula, time-series analysis
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Toyota Central R&D Lab. Inc.
• 著者所属: Nagoya University
• 著者所属: Nagoya University
• 著者所属: Toyota Central R&D Lab. Inc.
• 著者所属: Nagoya University
• 著者所属(英): en
• 著者所属(英): Toyota Central R&D Lab. Inc.
• 著者所属(英): en
• 著者所属(英): Nagoya University
• 著者所属(英): en
• 著者所属(英): Nagoya University
• 著者所属(英): en
• 著者所属(英): Toyota Central R&D Lab. Inc.
• 著者所属(英): en
• 著者所属(英): Nagoya University
• 著者名: Shuichi, Sato; Shogo, Hattori; Hiroyuki, Seki; Yutaka, Inamori; Shoji, Yuen
• 著者名(英): Shuichi, Sato; Shogo, Hattori; Hiroyuki, Seki; Yutaka, Inamori; Shoji, Yuen
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: We propose a method to automate the detection of signal disturbance for a given unsafe property. To incorporate a signal disturbance, we introduce an auxiliary variable, called a cushion variable, for each signal variable to store a value altered by the disturbance that causes unintended state transitions. The signal disturbance is defined to negate the equalities between signal variables and their cushion variables. We develop a method to efficiently detect the signal disturbance by using a weighted partial maximum satisfiability modulo theories (Max-SMT) technique as a set of variables altered by faults resulting in an undesirable condition. By assigning the weights properly to the equations, we control the derivation of signal disturbance patterns with the required property. We present an experimental application of our method to a simplified cruise control system as a practical case study in two well-known methods of safety analysis, namely system theoretic process analysis (STPA) and fault tree analysis (FTA), for the automatic detection of time-series signal disturbances.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.28(2018) (online); DOI http://dx.doi.org/10.2197/ipsjjip.28.124; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: We propose a method to automate the detection of signal disturbance for a given unsafe property. To incorporate a signal disturbance, we introduce an auxiliary variable, called a cushion variable, for each signal variable to store a value altered by the disturbance that causes unintended state transitions. The signal disturbance is defined to negate the equalities between signal variables and their cushion variables. We develop a method to efficiently detect the signal disturbance by using a weighted partial maximum satisfiability modulo theories (Max-SMT) technique as a set of variables altered by faults resulting in an undesirable condition. By assigning the weights properly to the equations, we control the derivation of signal disturbance patterns with the required property. We present an experimental application of our method to a simplified cruise control system as a practical case study in two well-known methods of safety analysis, namely system theoretic process analysis (STPA) and fault tree analysis (FTA), for the automatic detection of time-series signal disturbances.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.28(2018) (online); DOI http://dx.doi.org/10.2197/ipsjjip.28.124; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 61, 号 2, 発行日 2020-02-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764