Applied reliability engineering and risk analysis : probabilistic models and statistical inference

دانلود کتاب Applied reliability engineering and risk analysis : probabilistic models and statistical inference

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کتاب مهندسی قابلیت اطمینان کاربردی و تحلیل ریسک: مدل‌های احتمالی و استنتاج آماری نسخه زبان اصلی

دانلود کتاب مهندسی قابلیت اطمینان کاربردی و تحلیل ریسک: مدل‌های احتمالی و استنتاج آماری بعد از پرداخت مقدور خواهد بود
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توضیحاتی در مورد کتاب Applied reliability engineering and risk analysis : probabilistic models and statistical inference

نام کتاب : Applied reliability engineering and risk analysis : probabilistic models and statistical inference
عنوان ترجمه شده به فارسی : مهندسی قابلیت اطمینان کاربردی و تحلیل ریسک: مدل‌های احتمالی و استنتاج آماری
سری : Wiley series in quality and reliability engineering
نویسندگان : , , , ,
ناشر : Wiley
سال نشر : 2014
تعداد صفحات : 451
ISBN (شابک) : 9781118701942 , 1118701887
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 5 مگابایت



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توضیحاتی در مورد کتاب :


"This book presents the latest developments in the field of reliability science focusing on applied reliability, probabilistic models and risk analysis. It provides readers with the most up-to-date developments in this field and consolidates research activities in several areas of applied reliability engineering. The publication is timed to commemorate Boris Gnedenko's centennial by bringing together leading بیشتر بخوانید ...

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Content:
Chapter 1 Methods of Solutions of Inhomogeneous Continuous Time Markov Chains for Degradation Process Modeling (pages 3–16): Yan‐Fu Li, Enrico Zio and Yan‐Hui Lin
Chapter 2 Multistate Degradation and Condition Monitoring for Devices with Multiple Independent Failure Modes (pages 17–31): Ramin Moghaddass and Ming J. Zuo
Chapter 3 Time Series Regression with Exponential Errors for Accelerated Testing and Degradation Tracking (pages 32–42): Nozer D. Singpurwalla
Chapter 4 Inverse Lz‐Transform for a Discrete‐State Continuous‐Time Markov Process and Its Application to Multi‐State System Reliability Analysis (pages 43–58): Anatoly Lisnianski and Yi Ding
Chapter 5 On the Lz‐Transform Application for Availability Assessment of an Aging Multi‐State Water Cooling System for Medical Equipment (pages 59–77): Ilia Frenke, Anatoly Lisnianski and Lev Khvatskin
Chapter 6 Combined Clustering and Lz‐Transform Technique to Reduce the Computational Complexity of a Multi‐State System Reliability Evaluation (pages 78–86): Yi Ding
Chapter 7 Sliding Window Systems with Gaps (pages 87–97): Gregory Levitin
Chapter 8 Development of Reliability Measures Motivated by Fuzzy Sets for Systems with Multior Infinite‐States (pages 98–118): Zhaojun (Steven) Li and Kailash C. Kapur
Chapter 9 Imperatives for Performability Design in the Twenty‐First Century (pages 119–131): Krishna B. Misra
Chapter 10 Network Reliability Calculations Based on Structural Invariants (pages 135–149): Ilya B. Gertsbakh and Yoseph Shpungin
Chapter 11 Performance and Availability Evaluation of IMS‐Based Core Networks (pages 148–166): Kishor S. Trivedi, Fabio Postiglione and Xiaoyan Yin
Chapter 12 Reliability and Probability of First Occurred Failure for Discrete‐Time Semi‐Markov Systems (pages 167–179): Stylianos Georgiadis, Nikolaos Limnios and Irene Votsi
Chapter 13 Single‐Source Epidemic Process in a System of Two Interconnected Networks (pages 180–190): Ilya B. Gertsbakh and Yoseph Shpungin
Chapter 14 Comparisons of Periodic and Random Replacement Policies (pages 193–206): Xufeng Zhao and Toshio Nakagawa
Chapter 15 Random Evolution of Degradation and Occurrences of Words in Random Sequences of Letters (pages 205–217): Emilio De Santis and Fabio Spizzichino
Chapter 16 Occupancy Times for Markov and Semi‐Markov Models in Systems Reliability (pages 218–230): Alan G. Hawkes, Lirong Cui and Shijia Du
Chapter 17 A Practice of Imperfect Maintenance Model Selection for Diesel Engines (pages 231–245): Yu Liu, Hong‐Zhong Huang, Shun‐Peng Zhu and Yan‐Feng Li
Chapter 18 Reliability of Warm Standby Systems with Imperfect Fault Coverage (pages 246–255): Rui Peng, Ola Tannous, Liudong Xing and Min Xie
Chapter 19 On the Validity of the Weibull‐Gnedenko Model (pages 259–274): Vilijandas Bagdonavičius, Mikhail Nikulin and Ruta Levuliene
Chapter 20 Statistical Inference for Heavy‐Tailed Distributions in Reliability Systems (pages 273–289): Ilia Vonta and Alex Karagrigoriou
Chapter 21 Robust Inference based on Divergences in Reliability Systems (pages 290–307): Abhik Ghosh, Avijit Maji and Ayanendranath Basu
Chapter 22 COM‐Poisson Cure Rate Models and Associated Likelihood‐based Inference with Exponential and Weibull Lifetimes (pages 308–348): N. Balakrishnan and Suvra Pal
Chapter 23 Exponential Expansions for Perturbed Discrete Time Renewal Equations (pages 349–362): Dmitrii Silvestrov and Mikael Petersson
Chapter 24 On Generalized Extreme Shock Models under Renewal Shock Processes (pages 363–374): Ji Hwan Cha and Maxim Finkelstein
Chapter 25 Systemability Theory and its Applications (pages 377–388): Hoang Pham
Chapter 26 Physics‐of‐Failure based Reliability Engineering (pages 389–402): Pedro O. Quintero and Michael Pecht
Chapter 27 Accelerated Testing: Effect of Variance in Field Environmental Conditions on the Demonstrated Reliability (pages 403–408): Andre Kleyner

توضیحاتی در مورد کتاب به زبان اصلی :


"This book presents the latest developments in the field of reliability science focusing on applied reliability, probabilistic models and risk analysis. It provides readers with the most up-to-date developments in this field and consolidates research activities in several areas of applied reliability engineering. The publication is timed to commemorate Boris Gnedenko's centennial by bringing together leading Read more...



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