Concise Guide to Fault Tree Analysis: Models, Methods and Algorithms
暫譯: 故障樹分析簡明指南：模型、方法與演算法
Stoelinga, Mariëlle, Ruijters, Enno, Krčál, Pavel
- 出版商: Springer
- 出版日期: 2026-01-03
- 售價: $3,050
- 貴賓價: 9.5 折 $2,898
- 語言: 英文
- 頁數: 221
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031782860
- ISBN-13: 9783031782862
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相關分類:
控制系統 Control-systems
海外代購書籍(需單獨結帳)
相關主題
商品描述
Fault tree analysis is key tool in risk analysis. It is a widely used industry standard with applications in amongst others, the aerospace, automotive, chemical and nuclear industries.
Society depends on complex engineering systems such as (nuclear) power plants, airplanes, and data centers, and this dependency is only increasing with developments like smart grids and self-driving cars. In this light, risk analysis is essential to ensure that these systems are reliable. Fault tree analysis is a powerful, commonly used tool for such risk analysis. This book provides a comprehensive overview of what fault trees are and how they are applied, looking at their role in risk management, illustrating techniques for their construction, and describing their analysis in both practical and mathematical terms.
Topics and features:
- Delivers a crystal-clear overview of techniques for building and analyzing fault trees
- Offers numerous illustrative examples of methods and industry applications
- Provides solid mathematical descriptions for exact and approximate analysis
- Includes an overview of modern extensions of fault trees
- Examines and explains the whole fault tree analysis process, including the application of results
With its comprehensive overview of the practice of fault tree analysis, this book is eminently suitable for industrial and academic professionals in risk management. Furthermore, the overview of analysis techniques will be of great interest to researchers working to advance the field.
商品描述(中文翻譯)
故障樹分析是風險分析中的關鍵工具。它是一種廣泛使用的行業標準，應用於航空、汽車、化學和核能等行業。
社會依賴於複雜的工程系統，例如（核）電廠、飛機和數據中心，這種依賴隨著智能電網和自駕車等發展而不斷增加。在這種情況下，風險分析對於確保這些系統的可靠性至關重要。故障樹分析是一種強大且常用的風險分析工具。本書提供了故障樹的全面概述，探討其在風險管理中的角色，說明其構建技術，並描述其在實踐和數學上的分析。
主題和特點：
- 提供清晰明瞭的故障樹構建和分析技術概述
- 提供多個方法和行業應用的示例
- 提供精確和近似分析的堅實數學描述
- 包含故障樹現代擴展的概述
- 檢視並解釋整個故障樹分析過程，包括結果的應用
本書對於風險管理領域的工業和學術專業人士來說，提供了故障樹分析實踐的全面概述，極為合適。此外，分析技術的概述將對於致力於推進該領域的研究人員具有很大的吸引力。
作者簡介
Prof. Dr. Mariëlle Stoelinga is a professor of risk management for high-tech systems, both at the Radboud University Nijmegen, and the University of Twente, in the Netherlands. She is a world-leading expert in quantitative risk analysis. Stoelinga wrote more than 150 scientific articles on this topic, several which were awarded prestigious scientific prizes.
Stoelinga also acquired a number of prestigious research grants: Grants from the Dutch National Science Agenda and NWO KIC to work on Predictive Maintenance, an NWO Top grant, and ERC consolidator grant for the integration of safety & cybersecurity risks.
For many years, Stoelinga has been the scientific programme leader Risk Management Master, a part-time MSc programme for professionals. She holds an MSc and a PhD degree from Radboud University Nijmegen, and has spent several years as a post-doc at the University of California at Santa Cruz, USA.
Dr.Enno Ruijters holds an MSc in Operations Research (Maastricht University, the Netherlands) and a PhD in Formal Methods and Tools (University of Twente, the Netherlands). His PhD work focusses on fault tree analysis. He published a leading article describing the state of the art in fault tree analysis (> 600 citations). He developed a formalism for extending fault trees to analyze systems experiencing gradual wear-and-tear and repairs, as well as a technique for quantitatively analyzing such Repairable Fault Trees using Rare Event Simulation. The novel fault tree modeling and analysis techniques were extensively validated using various case studies in collaboration with the Dutch national railway industry (who co-funded the PhD project). Since 2019, he is working as a software engineer at BetterBe B.V.
Dr Pavel Krčál got his MSc from Masaryk University in Brno, Czech Republic, and defended his PhD thesis at Uppsala University, Sweden, both in Computer Science. His specialization in Formal Methods gave him theoretical and practical skills in analyzing (large) mathematical models of technical systems. Since then, he is working for a private company (RiskSpectrum AB) which develops a software tool for Probabilistic Safety Assessment (event tree/fault tree analysis) in the nuclear safety domain. This tool is used in approximately 60% of all civil nuclear power plants worldwide and in the position of a world-leading platform contributes to shaping the way in which these analyses are performed.
Pavel focuses on the modeling and analysis methods, i.e., ways of building dependability models of technical utilities by fault trees and other formalisms and on algorithms and tools for their analysis. Besides research and development work, he mentors clients in advanced dependability topics. He is also regularly publishing on advances in fault tree analysis at scientific conferences.
作者簡介(中文翻譯)
瑪莉埃爾·斯托林加教授 (Prof. Dr. Mariëlle Stoelinga) 是荷蘭奈梅亨的拉德堡德大學 (Radboud University Nijmegen) 和特溫特大學 (University of Twente) 的高科技系統風險管理教授。她是定量風險分析的世界領先專家。斯托林加在這個主題上撰寫了超過150篇科學文章，其中幾篇獲得了著名的科學獎項。
斯托林加還獲得了多項著名的研究補助金：來自荷蘭國家科學議程和NWO KIC的補助金，用於預測性維護的研究，NWO頂尖補助金，以及歐洲研究委員會 (ERC) 的整合安全與網絡安全風險的補助金。
多年來，斯托林加一直擔任風險管理碩士課程的科學計畫負責人，這是一個為專業人士設計的兼職碩士學位課程。她擁有奈梅亨拉德堡德大學的碩士和博士學位，並在美國聖克魯斯的加州大學擔任了幾年的博士後研究員。
恩諾·魯伊特斯博士 (Dr. Enno Ruijters) 擁有荷蘭馬斯特里赫特大學的運籌學碩士學位和荷蘭特溫特大學的形式方法與工具博士學位。他的博士研究專注於故障樹分析。他發表了一篇描述故障樹分析最新技術的領先文章 (> 600 次引用)。他開發了一種形式化方法，用於擴展故障樹以分析經歷逐漸磨損和維修的系統，以及一種使用稀有事件模擬進行定量分析的可修復故障樹技術。這些新穎的故障樹建模和分析技術通過與荷蘭國家鐵路行業的多個案例研究進行了廣泛的驗證（該行業共同資助了博士項目）。自2019年以來，他在BetterBe B.V.擔任軟體工程師。
帕維爾·克拉爾博士 (Dr. Pavel Krčál) 在捷克共和國布爾諾的馬薩里克大學獲得碩士學位，並在瑞典烏普薩拉大學完成計算機科學的博士論文。他在形式方法方面的專業知識使他具備分析（大型）技術系統數學模型的理論和實踐技能。此後，他在一家私人公司 (RiskSpectrum AB) 工作，該公司開發用於核安全領域的概率安全評估（事件樹/故障樹分析）軟體工具。這個工具在全球約60%的民用核電廠中使用，並作為世界領先的平台，對這些分析的執行方式產生了影響。
帕維爾專注於建模和分析方法，即通過故障樹和其他形式化方法構建技術公用事業的可靠性模型的方式，以及其分析的算法和工具。除了研究和開發工作外，他還在高級可靠性主題上指導客戶。他也定期在科學會議上發表有關故障樹分析進展的文章。
