By Ilia B. Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre V. Kleyner
"This ebook provides the newest advancements within the box of reliability technology targeting utilized reliability, probabilistic versions and threat research. It presents readers with the main updated advancements during this box and consolidates learn actions in numerous parts of utilized reliability engineering. The ebook is timed to commemorate Boris Gnedenko's centennial by means of bringing jointly leading researchers, scientists, and practitioners within the box of Prof. Gnednko's services. The advent, written through Prof. Igor Ushakov, a private pal and a colleague of Boris Gnedenko, explains the numerous effect and contribution Gnedenko's paintings made at the reliability idea and the fashionable reliability perform. The ebook covers traditional and modern (recently emerged) themes in reliability technology, that have obvious prolonged learn actions within the contemporary years. those themes contain: degradation research and multi-state approach reliability; networks and massive scale platforms; upkeep versions; statistical inference in reliability, and; physics of disasters and reliability demonstration. All of those subject matters current an exceptional curiosity to researchers and practitioners, having been generally researched some time past years and coated at plenty of overseas meetings and in a mess of magazine articles. This booklet pulls jointly this knowledge with a coherent circulation of chapters, and is written by means of the lead scientists, researchers and practitioners of their respective fields. Logically divided into 5 sections, each one comprises numerous chapters overlaying theoretical and functional concerns, whereas case reports aid the subjects lower than discussion"-- Read more...
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Extra resources for Applied reliability engineering and risk analysis : probabilistic models and statistical inference
The degradation transition between two states of a degradation failure mode follows a general and ﬂexible stochastic process called the nonhomogeneous continuous-time semi-Markov process (NHCTSMP). Based on this stochastic process, the transition between two states depends on the states involved in transition, the time that the state has reached, the time spent at the current state, or any combination of these factors. Readers may refer to (Moghaddass and Zuo 2012a; Moghaddass et al. 2013) for more details.
I. Frenkel and Y. Ding. 2010. Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers. London: Springer. Lisnianski, A. and G. Levitin. 2003. Multi-state System Reliability: Assessment, Optimization and Applications. Singapore: World Scientiﬁc. Liu, Y. C. Kapur. 2008. New model and measurement for reliability of multi-state systems. In Handbook of Performability Engineering, ed. B. Misra. London: Springer, pp. 431–445. , A. Horv´ath, and G. Horv´ath. 2004.
2011). One of the methodologies to address multiple failure modes is to use failure modes, mechanisms, and effects analysis (FMMEA), which aims to identify potential failure mechanisms and models for all potential failures modes, as well as to prioritize failure mechanisms. Modeling failure mechanisms helps in the design and development of a new product (Mathew et al. 2008). As most mechanical devices are subject to multiple failure modes, which may be only indirectly observable through condition monitoring (CM), it is important to develop diagnostic and prognostic methods, which can employ multi-dimensional condition monitoring features to evaluate the health condition of the device and predict future failures of the device, while considering all possible failure modes.
Applied reliability engineering and risk analysis : probabilistic models and statistical inference by Ilia B. Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre V. Kleyner