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1

Manshin, Yu P., and E. Yu Manshina. "Reliability in mechanical systems projects." Journal of Physics: Conference Series 2131, no. 2 (2021): 022029. http://dx.doi.org/10.1088/1742-6596/2131/2/022029.

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Abstract Sufficient safety of the parts, which determines the safety of the system specified by the technical assignment, is the necessary quality of the project, the subject of the design engineer’s attention and the customer’s requirement. An extensive task is the collection of data for iterative refinement of the resource for project details in a probabilistic aspect. It can be significantly reduced when using approximate methods for estimating the resource at intermediate stages of refining the project to the required resource with a calculated probability of failure-free operation. Thus,
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2

Moss, T. R., and J. D. Andrews. "Reliability Assessment of Mechanical Systems." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 210, no. 3 (1996): 205–16. http://dx.doi.org/10.1243/pime_proc_1996_210_315_02.

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The assessment of mechanical systems is not an exact science and predictions can be subject to considerable uncertainty. In this paper the particular problems of mechanical system reliability assessment are discussed and a general methodology presented based on experience from availability studies carried out on offshore and onshore process plant.
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3

Covino, Marco M., Paul A. Rodgers, Jonathan S. Smith, and John P. Clarkson. "ASSESSING RELIABILITY IN MECHANICAL SYSTEMS." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 4, no. 2 (2000): 67–84. http://dx.doi.org/10.3233/jid-2000-4205.

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As reliability is one of the key factors in product quality, which is closely linked to customer satisfaction, the ability of companies to design products which will be reliable is key to their future market success. The paper presents a new design for reliability (DFR) method which assesses the suitability of mechanical system design configurations during the early stages of the design process. The method presented in this paper is a development of the work of Stephenson (1995) in which he sought to assess the reliability of technical mechanisms in large scale heavy plant equipment. The metho
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4

Chegodaev, D. E., and V. N. Samsonov. "Evaluating the reliability of mechanical systems." Strength of Materials 19, no. 12 (1987): 1720–23. http://dx.doi.org/10.1007/bf01523136.

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Ben-Haim, Yakov. "Non-Probabilistic Reliability of Mechanical Systems." IFAC Proceedings Volumes 27, no. 5 (1994): 281–86. http://dx.doi.org/10.1016/s1474-6670(17)48041-4.

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6

Bernstein, N. "Reliability analysis techniques for mechanical systems." Quality and Reliability Engineering International 1, no. 4 (1985): 235–48. http://dx.doi.org/10.1002/qre.4680010405.

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7

Kwak, Byung Man. "1704 Algorithms in reliability analysis and optimization for structural and mechanical systems." Proceedings of The Computational Mechanics Conference 2005.18 (2005): 125–26. http://dx.doi.org/10.1299/jsmecmd.2005.18.125.

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8

Ivanović, Miloš. "Reliability Distribution in Mechanical Systems for Given Reliability and Cost." Advanced Materials Research 633 (January 2013): 301–11. http://dx.doi.org/10.4028/www.scientific.net/amr.633.301.

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9

Avontuur, G. C., and K. van der Werff. "Systems reliability analysis of mechanical and hydraulic drive systems." Reliability Engineering & System Safety 77, no. 2 (2002): 121–30. http://dx.doi.org/10.1016/s0951-8320(02)00039-x.

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10

Lv, H., and Y. Zhang. "Gradual reliability analysis of mechanical component systems." Materials Research Innovations 18, sup1 (2014): S1–29—S1–32. http://dx.doi.org/10.1179/1432891713z.000000000349.

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11

Telyshev, D. V. "Mechanical Circulatory Support Systems Reliability Prediction and Assessment." Proceedings of Universities. ELECTRONICS 25, no. 1 (2020): 58–68. http://dx.doi.org/10.24151/1561-5405-2020-25-1-58-68.

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12

Tsuchiya, Toshiyuki. "Mechanical reliability of silicon microstructures." Journal of Micromechanics and Microengineering 32, no. 1 (2021): 013003. http://dx.doi.org/10.1088/1361-6439/ac3cd6.

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Abstract In this article, an overview of the mechanical reliability of silicon microstructures for micro-electro-mechanical systems is given to clarify what we now know and what we still have to know about silicon as a high-performance mechanical material on the microscale. Focusing on the strength and fatigue properties of silicon, attempts to understand the reliability of silicon and to predict the device reliability of silicon-based microstructures are introduced. The effective parameters on the strength and the mechanism of fatigue failure are discussed with examples of measurement data to
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13

Huang, Liang Pei, Wen Hui Yue, and Zheng Li Gong. "Reliability Modeling and Simulation of Mechanical Equipment Undergoing Maintenance." Applied Mechanics and Materials 34-35 (October 2010): 1211–16. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.1211.

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The mechanical equipment faults result from parts failure in the period of service time, due to reassembly and maintenance, the reliability model for mechanical equipment is broken, so it is necessary to research and estimate the safety reliability of mechanical system. Based on the time-to-failure density function of parts, the mechanical system reliability model is constructed to track the change course of age structure of part population for the mechanical systems that are reassembled and maintained. By means of simulation of the system reliability model, concerned parameters with mechanica
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14

Huang, Liang Pei, Zheng Li Gong, and Wen Hui Yue. "Reliability Simulation and Prediction of Mechanical Equipment for Maintenance." Advanced Materials Research 139-141 (October 2010): 1060–63. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1060.

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The mechanical equipment faults result from parts failure in the period of service time, due to reassembly and maintenance, the reliability model for mechanical equipment is broken, so it is necessary to research and estimate the safety reliability of mechanical system. Based on the time-to-failure density function of parts, the mechanical system reliability model is constructed to track the change course of age structure of part population for the mechanical systems that are reassembled and maintained. By means of simulation of the system reliability model, concerned parameters with mechanica
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15

Hu, Qi Guo. "Study on Reliability of Mechanical Systems Based on Petri Nets and Failure Dependence." Advanced Materials Research 538-541 (June 2012): 2892–96. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.2892.

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Mechanical systems is vulnerable to be influenced of its structure and human factors for its subsystems, components and the complex relationship between each unit, causing the mechanical systems to be failed, which severely affects the reliability of the mechanical systems. based on Petri nets models of mechanical systems analysis, from safety, intermediate and failure three aspects, 3-level working model of “safety-intermediate-failure” is introduced to reflect the reliability (functioning fully) of mechanical systems, intermediary transition between reliable and failure, failure (can not wor
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16

MUROTSU, Yoshisada, Takehito FUKUDA, and Hiroo OKADA. "Fundamentals of Reliability Engineering. 5. Structural Systems Reliability." Journal of the Society of Materials Science, Japan 42, no. 481 (1993): 1238–44. http://dx.doi.org/10.2472/jsms.42.1238.

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17

Zhao, Lei, Pengfei Yue, Yang Zhao, and Shiyan Sun. "Reliability Analysis and Optimization Method of a Mechanical System Based on the Response Surface Method and Sensitivity Analysis Method." Actuators 12, no. 12 (2023): 465. http://dx.doi.org/10.3390/act12120465.

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Mechanical system reliability analysis constitutes a primary research focus in the field of engineering. This study aims to address the issue of complex mechanical systems with intricate mechanisms and nonlinear reliability equations that are challenging to solve. To this end, we present a reliability analysis and optimization methodology that merges the response surface and sensitivity analysis methods. A comprehensive formation of reliability assessment and optimization of complex mechanical systems is achieved by creating a response surface model to fit the complex state function and solvin
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18

Gao, Peng, and Liyang Xie. "Generalized Reliability Analysis of Mechanical Systems with Imperfect Maintenance." Mathematical Problems in Engineering 2022 (January 10, 2022): 1–14. http://dx.doi.org/10.1155/2022/3825783.

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Generalized reliability models and failure rate models of mechanical systems are developed in this paper according to the system working mechanism, which take the design parameters as input. The models consider strength degradation and imperfect maintenance. Besides, the models take into account the failure correlation caused by homologous load effect and the maintenance correlation owing to group maintenance. Unlike traditional reliability models, the models do not rely on empirical assumptions when considering failure correlation and maintenance correlation and have clear physical meaning. M
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19

Raju, P., and P. Jagruti. "Transducers in Mechanical Systems." Recent Trends in Thermodynamics and Thermal Energy System 1, no. 1 (2025): 20–22. https://doi.org/10.5281/zenodo.15260818.

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<em>Transducers are critical components in modern mechanical systems, enabling the conversion of physical quantities into electrical signals for monitoring, control, and automation. This research investigates the application of various types of transducers&mdash;including strain gauges, LVDTs, piezoelectric sensors, and thermocouples&mdash;in mechanical engineering fields such as structural analysis, fluid dynamics, and machine health monitoring. Experimental evaluation and literature synthesis reveal how these sensors enhance accuracy, reliability, and real-time diagnostics in mechanical syst
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20

KOHDA, Takehisa. "Expert Systems and Reliability(Safety and Reliability in Mechanical Engineering -Philosophy and Technology)." Journal of the Society of Mechanical Engineers 90, no. 827 (1987): 1325–30. http://dx.doi.org/10.1299/jsmemag.90.827_1325.

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21

Woo, Seong-Woo, and Dennis L. O’Neal. "Reliability Design of Mechanical Systems Subject to Repetitive Stresses." Recent Patents on Mechanical Engineering 8, no. 3 (2015): 222–34. http://dx.doi.org/10.2174/2212797608666150813001703.

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22

Moseyko, Evgeniy S., and Evgeniy O. Olhovik. "ASSESSMENT OF SHIP MECHANICAL SYSTEMS RELIABILITY FOR ARCTIC SHIPPING." Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 14, no. 1 (2022): 120–28. http://dx.doi.org/10.21821/2309-5180-2022-14-1-120-128.

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23

Woo, Seong-woo, Dennis L. O’Neal, and Yimer Mohammed Hassen. "Reliability design of mechanical systems subjected to repetitive stresses." MATEC Web of Conferences 349 (2021): 03009. http://dx.doi.org/10.1051/matecconf/202134903009.

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To enhance the design of mechanical systems, parametric Accelerated Life Testing (ALT) as a systematic reliability method is proposed as a way to evaluate the design of mechanical systems subjected to repeated impact stresses. It requires: (1) a parametric ALT scheme shaped on system BX lifetime, (2) a load inspection, (3) parametric ALTs with the associated design modifications, and (4) an assessment of whether the revised product design(s) reach the targeted BX life-time. We propose using a general life-stress model and sample size equation. A test example using both market data and parametr
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24

Gao, Peng, and Shaoze Yan. "Fuzzy Dynamic Reliability Model of Dependent Series Mechanical Systems." Advances in Mechanical Engineering 5 (January 2013): 985721. http://dx.doi.org/10.1155/2013/985721.

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25

Briggs, S. J., M. J. Bartos, and R. G. Arno. "Reliability and availability assessment of electrical and mechanical systems." IEEE Transactions on Industry Applications 34, no. 6 (1998): 1387–96. http://dx.doi.org/10.1109/28.739026.

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26

Tsai, Yuo-Tern, Hwei-Yuan Teng, and Yeong-Jern Chen. "Optimizing reliability design for mechanical systems using geometric programming." Journal of Engineering Design 17, no. 3 (2006): 235–49. http://dx.doi.org/10.1080/09544820500275040.

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27

Paez, D., and Y. Filion. "Mechanical and Hydraulic Reliability Estimators for Water Distribution Systems." Journal of Water Resources Planning and Management 145, no. 11 (2019): 06019010. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0001124.

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28

Rackwitz, R. "Reliability of Systems under Renewal Pulse Loading." Journal of Engineering Mechanics 111, no. 9 (1985): 1175–84. http://dx.doi.org/10.1061/(asce)0733-9399(1985)111:9(1175).

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29

Kumar, Jatinder. "Reliability Centred Planning, Mapping & Analysis of Electronics and Electrical Systems in Electric Mobility." Journal of Advanced Research in Manufacturing, Material Science & Metallurgical Engineering 08, no. 01 (2021): 14–17. http://dx.doi.org/10.24321/2456.429x.202101.

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Reliability of a product is very critical aspect for a new product to create a success story in present age. This paper is focused on automobile industry especially in electric mobility domain. IC engines are in this market from last 100+ years and too much improvement work has been done in IC engine domain. First car powered by IC engine was made in 1885 by Karl Benzand from 1885 to present the IC engine mobility have undergone numerous process improvements and established them as a reliable mode of mobility. There are many process models available online which can be used to improve the reli
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30

Sisworo, Raden Rinova. "Mechanical Engineering Applications in Military Vehicles." Enthalpy : Jurnal Ilmiah Mahasiswa Teknik Mesin 9, no. 4 (2024): 146. https://doi.org/10.55679/enthalpy.v9i4.49558.

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The integration of mechanical engineering principles into military vehicle design and operation is critical for enhancing performance, reliability, and safety. This literature review synthesizes various studies that explore the applications of mechanical engineering in military vehicles, focusing on areas such as crash prevention technologies, hybrid systems, suspension design, reliability, and advanced materials. In addition, brief explanations about military vehicle roles in defense systems are also highlighted.
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31

Guo, Shu Yi, and Yong Qi Qi. "Study on Reliability Tests to a Few Samples of Mechanical System." Applied Mechanics and Materials 42 (November 2010): 339–42. http://dx.doi.org/10.4028/www.scientific.net/amm.42.339.

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The reliability tests play more and more important role in mechanical systems. A new method named a few samples and combined the probability and the fuzzy mathematics has been set up to explore the unknown system of a few samples with the help of the life samples of the known probabilistic distribution. The method reduced the traditional reliability test samples by some auxiliary information. It converted lots of reliability test into a few samples. This paper introduced two engineering examples to verify the method as an effective way to carry out the reliability tests. It provides the theory
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32

Ramadhani, Adhitya Ryan, and Waskito Pranowo. "Introducing Copula Functions to Estimate the Reliability of Dependent Mechanical Systems." Jurnal Rekayasa Sistem Industri 13, no. 2 (2024): 103–12. http://dx.doi.org/10.26593/jrsi.v13i2.7219.103-112.

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This paper addresses the challenge of assessing the reliability of complex mechanical systems where components are inherently correlated in their failure modes. Traditionally, the assumption of independence among these components has been employed, but it often fails to capture the real-world complexities. To overcome this limitation, copula functions are introduced as a robust methodology for modeling the dependent relationships between correlated variables within mechanical systems. This paper aims to demonstrate the utility of copulas in estimating system reliability while accounting for th
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33

Beden, S. "Reliability of the Installation and Operation of Pipeline Systems." Basrah journal for engineering science 16, no. 2 (2016): 108–18. http://dx.doi.org/10.33971/bjes.16.2.11.

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Pipelines are one of the most convenient and effectiveways of transporting petrol over a long distance. The environmentapplies, beyond extremely high external pressures, lowtemperatures and intensive corrosive process, the occurrence ofdefects on the pipe body, which compromises the structuralintegrity of pipelines leading to catastrophic failures. The mainmodifications concern the mechanical resistance, toughness at lowtemperatures weld ability and resistance to embrittlement relatedto hydrogen. Among mechanical characteristics, the fracturetoughness is very important for pipeline steels in d
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34

Hovde, G. O., and T. Moan. "Fatigue Reliability of TLP Tether Systems." Journal of Offshore Mechanics and Arctic Engineering 119, no. 1 (1997): 53–60. http://dx.doi.org/10.1115/1.2829046.

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The tension leg platform (TLP) concept is considered to be economically competitive with other offshore production concepts in deepwater locations. The critical part of this concept regarding structural failure is the tether system, in which fatigue is an important failure mode. The present paper presents a computational efficient and general probabilistic procedure for estimating the fatigue reliability of the TLP tether system. Two crack growth rate models of single crack sites are applied. Among uncertainties accounted are those in the long-term stochastic load process, the fatigue strength
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35

Long, Bing, and Zhen Liu. "Special Issue on Intelligent Diagnostic and Prognostic Methods for Electronic Systems and Mechanical Systems." Applied Sciences 12, no. 19 (2022): 10106. http://dx.doi.org/10.3390/app121910106.

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36

Xu, Yong Cheng, Bin Dong, Yue Li, Guo Ji Shen, and Ming Lei Luo. "Reliability Modeling and Availability Simulating Based on GSPN Considering Hardware, Software and Human Factors." Advanced Materials Research 834-836 (October 2013): 1932–37. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1932.

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Aiming at the functional and structural characteristics of helicopter power transmission systems, this paper researches on the dynamic reliability modeling and simulating methods of complex mechanical systems. The hardware reliability, the human reliability and the software reliability related to helicopter power transmission systems are analyzed in this paper from the view point of systems engineering; the General Stochastic Petri Nets (GSPN) reliability models are established and the availability is simulated. According to the logistic connection among the attributions of the systems availab
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37

Gao, Peng, and Liyang Xie. "Fuzzy Dynamic Reliability Models of Parallel Mechanical Systems Considering Strength Degradation Path Dependence and Failure Dependence." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/649726.

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Fuzzy dynamic reliability models of mechanical parallel systems with respect to stress parameters and strength parameters are developed in this paper. Strength degradation path dependence (SDPD) and failure dependence of components in the system are two main problems to be addressed in developing fuzzy dynamic reliability of mechanical systems, which are taken into account in the proposed reliability models. In addition, the SDPD sensitivity function and the failure dependence sensitivity function are defined to analyze the influences of the fuzzy characteristics of stress on the effects of SD
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38

Royset, J. O., A. Der Kiureghian, and E. Polak. "Reliability-Based Optimal Design of Series Structural Systems." Journal of Engineering Mechanics 127, no. 6 (2001): 607–14. http://dx.doi.org/10.1061/(asce)0733-9399(2001)127:6(607).

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39

Huang, C. D., W. Q. Zhu, and T. T. Soong. "Nonlinear Stochastic Response and Reliability of Secondary Systems." Journal of Engineering Mechanics 120, no. 1 (1994): 177–96. http://dx.doi.org/10.1061/(asce)0733-9399(1994)120:1(177).

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40

Schueller, G. I. "On procedures for reliability assessment of mechanical systems and structures." Structural Engineering and Mechanics 25, no. 3 (2007): 275–89. http://dx.doi.org/10.12989/sem.2007.25.3.275.

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41

Charlesworth, W. W., and S. S. Rao. "Reliability analysis of continuous mechanical systems using multistate fault trees." Reliability Engineering & System Safety 37, no. 3 (1992): 195–206. http://dx.doi.org/10.1016/0951-8320(92)90123-3.

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42

Kumar, Girish, Vipul Jain, and Umang Soni. "Modelling and simulation of repairable mechanical systems reliability and availability." International Journal of System Assurance Engineering and Management 10, no. 5 (2019): 1221–33. http://dx.doi.org/10.1007/s13198-019-00852-3.

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43

Kumar, Ashok, and Demir I. Karsan. "Fatigue Reliability of Parallel Systems." Journal of Structural Engineering 116, no. 3 (1990): 719–29. http://dx.doi.org/10.1061/(asce)0733-9445(1990)116:3(719).

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44

Bulleit, William M., David V. Rosowsky, Kenneth J. Fridley, and Marvin E. Criswell. "Reliability of Wood Structural Systems." Journal of Structural Engineering 119, no. 9 (1993): 2629–41. http://dx.doi.org/10.1061/(asce)0733-9445(1993)119:9(2629).

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45

Gao, Peng, and Liyang Xie. "Reliability models of belt drive systems under slipping failure mode." Advances in Mechanical Engineering 9, no. 1 (2017): 168781401668719. http://dx.doi.org/10.1177/1687814016687195.

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Conventional reliability assessment and reliability-based optimal design of belt drive are based on the stress–strength interference model. However, the stress–strength interference model is essentially a static model, and the sensitivity analysis of belt drive reliability with respect to design parameters needs further investigations. In this article, time-dependent factors that contribute the dynamic characteristics of reliability are pointed out. Moreover, dynamic reliability models and failure rate models of belt drive systems under the failure mode of slipping are developed. Furthermore,
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46

Han, Wen Qin, and Jin Yu Zhou. "Copula Simulation of Mechanical Structural Systems Failure Mode." Advanced Materials Research 462 (February 2012): 844–49. http://dx.doi.org/10.4028/www.scientific.net/amr.462.844.

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As a new and efficient tool of statistical analysis, Copula has the capability of putting multivariate random probability models into practice, and describing time-varying and nonlinear feature of statistcal dependence of random variables. Aiming at mechanical structural systems with failure-dependence, a new method is put forward for reliability modeling by introducing mixed copula, in which giving a reference to several copula functions and its applicable feature of the correlation. Copula model of joint probability distribution function is build between every functions, in which every funct
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47

Araki, Wakako, Takehiro Abe, and Yoshio Arai. "OS15-1 Anomalous Mechanical Behaviour of Lanthanum Strontium Cobalt Iron Oxides(Durability and reliability of next-generation energy systems 1,OS15 Durability and reliability of next-generation energy systems,APPLICATIONS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 213. http://dx.doi.org/10.1299/jsmeatem.2015.14.213.

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48

Son, Young-Kap, and Bong-Seok Kim. "Reliability Estimation of Position Repeatability for Robot Systems." Transactions of the Korean Society of Mechanical Engineers - A 47, no. 2 (2023): 115–21. http://dx.doi.org/10.3795/ksme-a.2023.47.2.115.

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49

SIEGELL, JEFFREY H. "Reliability of Heat Integration Systems." Heat Transfer Engineering 10, no. 3 (1989): 54–60. http://dx.doi.org/10.1080/01457638908939708.

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Dui, Hongyan, Liwei Chen, and Jinchao Li. "Importance analysis in two kinds of redundant systems: k-out-of-n and consecutive k-out-of-n: F systems." Advances in Mechanical Engineering 11, no. 1 (2019): 168781401881924. http://dx.doi.org/10.1177/1687814018819248.

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The voting system is a kind of redundant system, and the k-out-of- n system and consecutive k-out-of- n system have been widely used in engineering practice. In this article, the marginal reliability importance and joint reliability importance in k-out-of- n: F systems and consecutive k-out-of- n: F systems are studied for some situations. Then, some properties and relevant remarks of the marginal reliability importance and joint reliability importance in two kinds of system models are analyzed for parameters p, k, and n. Finally, an oil pump transportation system is used to demonstrate the pr
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