Reliability is a New Science: Gnedenko Was Right
暫譯: 可靠性是一門新科學:格涅登科是對的
Paolo Rocchi
- 出版商: Springer
- 出版日期: 2018-08-02
- 售價: $3,760
- 貴賓價: 9.5 折 $3,572
- 語言: 英文
- 頁數: 168
- 裝訂: Paperback
- ISBN: 3319861719
- ISBN-13: 9783319861715
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商品描述
This work illustrates research conducted over a ten-year timespan and addresses a fundamental issue in reliability theory. This still appears to be an empirically disorganized field and the book suggests employing a deductive base in order to evolve reliability as a science. The study is in line with the fundamental work by Gnedenko.
Boris Vladimirovich Gnedenko (1912 – 1995) was a Soviet mathematician who made significant contributions in various scientific areas. His name is especially associated with studies of dependability, for which he is often recognized as the 'father' of reliability theory. In the last few decades, this area has expanded in new directions such as safety, security, risk analysis and other fields, yet the book ‘Mathematical Methods in Reliability Theory’ written by Gnedenko with Alexander Soloviev and Yuri Bélyaev still towers as a pillar of the reliability sector’s configuration and identity.
The present book proceeds in the direction opened by the cultural project of the Russian authors; in particular it identifies different trends in the hazard rate functions by means of deductive logic and demonstrations. Further, it arrives at multiple results by means of the entropy function, an original mathematical tool in the reliability domain. As such, it will greatly benefit all specialists in the field who are interested in unconventional solutions.
商品描述(中文翻譯)
這本書闡述了在十年期間進行的研究,並針對可靠性理論中的一個基本問題進行探討。這個領域仍然顯得經驗上有些無序,書中建議採用演繹基礎,以便將可靠性發展為一門科學。該研究與Gnedenko的基本工作相符。
鮑里斯·弗拉基米羅維奇·格涅登科(Boris Vladimirovich Gnedenko,1912 – 1995)是一位蘇聯數學家,在多個科學領域做出了重要貢獻。他的名字特別與可靠性研究相關,因而他常被認為是可靠性理論的“父親”。在過去幾十年中,這一領域向安全性、保安、風險分析等新方向擴展,但格涅登科與亞歷山大·索洛維耶夫(Alexander Soloviev)和尤里·貝利亞耶夫(Yuri Bélyaev)共同撰寫的《可靠性理論中的數學方法》(Mathematical Methods in Reliability Theory)仍然是可靠性領域配置和身份的支柱。
本書沿著俄羅斯作者所開啟的文化項目方向進行;特別是通過演繹邏輯和示範來識別危險率函數的不同趨勢。此外,它通過熵函數這一原創的數學工具在可靠性領域得出了多個結果。因此,這將對所有對非常規解決方案感興趣的專業人士大有裨益。