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Artículos de revistas sobre el tema "Reliability of mechanical systems"

Autor: Grafiati

Publicado: 16 de noviembre de 2024

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1

Manshin, Yu P. y E. Yu Manshina. "Reliability in mechanical systems projects". Journal of Physics: Conference Series 2131, n.º 2 (1 de diciembre de 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, by the analysis of dimensionless relations of parameters of models of fatigue damage development, it is possible to obtain tools of numerical estimation of technological and constructive techniques of increase of a resource of details and their rational combination. The paper deals with the numerical measures of various directions of upgrading the fatigue life of the parts, derived from the dimensionless relations of the parameters of fatigue damage development models.

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2

Moss, T. R. y J. D. Andrews. "Reliability Assessment of Mechanical Systems". Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 210, n.º 3 (octubre de 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

Chegodaev, D. E. y V. N. Samsonov. "Evaluating the reliability of mechanical systems". Strength of Materials 19, n.º 12 (diciembre de 1987): 1720–23. http://dx.doi.org/10.1007/bf01523136.

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4

Ben-Haim, Yakov. "Non-Probabilistic Reliability of Mechanical Systems". IFAC Proceedings Volumes 27, n.º 5 (junio de 1994): 281–86. http://dx.doi.org/10.1016/s1474-6670(17)48041-4.

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5

Bernstein, N. "Reliability analysis techniques for mechanical systems". Quality and Reliability Engineering International 1, n.º 4 (octubre de 1985): 235–48. http://dx.doi.org/10.1002/qre.4680010405.

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6

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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7

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

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8

Avontuur, G. C. y K. van der Werff. "Systems reliability analysis of mechanical and hydraulic drive systems". Reliability Engineering & System Safety 77, n.º 2 (agosto de 2002): 121–30. http://dx.doi.org/10.1016/s0951-8320(02)00039-x.

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9

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

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10

Telyshev, D. V. "Mechanical Circulatory Support Systems Reliability Prediction and Assessment". Proceedings of Universities. ELECTRONICS 25, n.º 1 (febrero de 2020): 58–68. http://dx.doi.org/10.24151/1561-5405-2020-25-1-58-68.

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11

Tsuchiya, Toshiyuki. "Mechanical reliability of silicon microstructures". Journal of Micromechanics and Microengineering 32, n.º 1 (9 de diciembre de 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 show the design guidelines for highly reliable silicon microstructures and devices.

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12

MUROTSU, Yoshisada, Takehito FUKUDA y Hiroo OKADA. "Fundamentals of Reliability Engineering. 5. Structural Systems Reliability." Journal of the Society of Materials Science, Japan 42, n.º 481 (1993): 1238–44. http://dx.doi.org/10.2472/jsms.42.1238.

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13

Huang, Liang Pei, Wen Hui Yue y Zheng Li Gong. "Reliability Modeling and Simulation of Mechanical Equipment Undergoing Maintenance". Applied Mechanics and Materials 34-35 (octubre de 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 mechanical systems service life are defined, it is discussed how the time-to-failure density function have influence on the service life for mechanical systems undergoing reassembly and maintenance. It is significant to estimate reliability and failure rate of systems and to establish reasonable maintenance policies.

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14

Huang, Liang Pei, Zheng Li Gong y Wen Hui Yue. "Reliability Simulation and Prediction of Mechanical Equipment for Maintenance". Advanced Materials Research 139-141 (octubre de 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 mechanical systems service life are defined, it is discussed how the time-to-failure density function have influence on the service life for mechanical systems undergoing reassembly and maintenance. It is significant to estimate reliability and failure rate of systems and to establish reasonable maintenance policies.

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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 (junio de 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 work). Through using the union and intersection operation of stochastic event, and considering the different values of the related failure parameters among basic events which impacts on the reliability of mechanical system, eventually the calculation of mechanical system reliability vector with the intermediate state is established.

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16

Gao, Peng y Liyang Xie. "Generalized Reliability Analysis of Mechanical Systems with Imperfect Maintenance". Mathematical Problems in Engineering 2022 (10 de enero de 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. Moreover, the correctness and effectiveness of the models are verified by Monte Carlo simulations. Finally, the influences of failure correlation and maintenance correlation on generalized reliability, the influences of failure correlation on maintenance correlation, and the influences of maintenance correlation on failure correlation are analyzed via numerical examples. The results show that failure correlation and maintenance correlation have great influences on generalized reliability, and the interaction between the two correlation shows obvious time-varying characteristics.

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17

KOHDA, Takehisa. "Expert Systems and Reliability(Safety and Reliability in Mechanical Engineering -Philosophy and Technology)". Journal of the Society of Mechanical Engineers 90, n.º 827 (1987): 1325–30. http://dx.doi.org/10.1299/jsmemag.90.827_1325.

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18

Zhao, Lei, Pengfei Yue, Yang Zhao y Shiyan Sun. "Reliability Analysis and Optimization Method of a Mechanical System Based on the Response Surface Method and Sensitivity Analysis Method". Actuators 12, n.º 12 (15 de diciembre de 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 solving the reliability parameters, followed by an error sensitivity analysis to determine the mechanical system’s reliability adjustment strategy. Finally, these methods are applied to a cylindrical material transport device to preliminarily realize the reliability assessment and average reliability optimization goals. The study’s findings may offer a theoretical framework and research opportunities to evaluate and enhance the reliability of intricate mechanical systems.

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19

Woo, Seong-Woo y Dennis L. O’Neal. "Reliability Design of Mechanical Systems Subject to Repetitive Stresses". Recent Patents on Mechanical Engineering 8, n.º 3 (11 de noviembre de 2015): 222–34. http://dx.doi.org/10.2174/2212797608666150813001703.

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20

Moseyko, Evgeniy S. y 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, n.º 1 (28 de febrero de 2022): 120–28. http://dx.doi.org/10.21821/2309-5180-2022-14-1-120-128.

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21

Woo, Seong-woo, Dennis L. O’Neal y 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 parametric ALT was the redesign of a hinge kit system (HKS) in a refrigerator. To conduct parametric ALTs, a force and moment balance analysis was utilized. The mechanical impact loadings of the HKS were evaluated for an working refrigerator door. For the first ALT, the HKS failure happened in the crack/fracture of the kit housing and oil spilled from the damper when the HKS was disassembled. The failure modes and mechanisms constructed in the 1st ALT were similar to those of the unsuccessful samples found from the marketplace. The missing design parameters of the HKS included stress raisers such as corner roundings and the rib of the housing in HKS, the seal in the oil damper, and the material of the cover housing. In the second ALT, the cover housing fractured. The design defect of the cover housing in the HKS was the plastic material. As a corrective action plan, the cover housing was modified from plastic to aluminium. After the second ALT, the lifetime of the modified HKS was reassured to be B1 life 10 years with a yearly failure rate of 0.1%.

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22

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

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23

Briggs, S. J., M. J. Bartos y R. G. Arno. "Reliability and availability assessment of electrical and mechanical systems". IEEE Transactions on Industry Applications 34, n.º 6 (1998): 1387–96. http://dx.doi.org/10.1109/28.739026.

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24

Tsai, Yuo-Tern, Hwei-Yuan Teng y Yeong-Jern Chen. "Optimizing reliability design for mechanical systems using geometric programming". Journal of Engineering Design 17, n.º 3 (junio de 2006): 235–49. http://dx.doi.org/10.1080/09544820500275040.

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25

Paez, D. y Y. Filion. "Mechanical and Hydraulic Reliability Estimators for Water Distribution Systems". Journal of Water Resources Planning and Management 145, n.º 11 (noviembre de 2019): 06019010. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0001124.

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26

Rackwitz, R. "Reliability of Systems under Renewal Pulse Loading". Journal of Engineering Mechanics 111, n.º 9 (septiembre de 1985): 1175–84. http://dx.doi.org/10.1061/(asce)0733-9399(1985)111:9(1175).

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27

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, n.º 01 (19 de abril de 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 reliability of IC engine powered mobility. In case of electric mobility there is major integration of three different domains electrical, mechanical & electronics. Electrical mobility is just 2 decade old and major developments happened in this space in last one decade. The major challenge in electric mobility domain is the change content, in IC engine mobility the if we compare one car model to another car model the change content is <25% but in case of electric mobility vs IC engine mobility the change content is >75%. Now the challenge is to manage & effectively synchronize this high change content moreover to establish the product reliability as equal or better than existing IC engine powered mobility. There are various reliability improvement models are available in electrical, mechanical and electronics domain. There is a need to integrate the reliability improvement models of electrical and electronics domain with automobile (mechanical domain) keeping automobile reliability improvement models as masters of process so that to establish product reliability in electric mobility. The overall aim of this dissertation work is to develop a reliability engineering model to establish the reliability and dependability of electric mobility in future.

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28

Guo, Shu Yi y Yong Qi Qi. "Study on Reliability Tests to a Few Samples of Mechanical System". Applied Mechanics and Materials 42 (noviembre de 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 basis for the reliability of complicated mechanical systems. The loss caused by fatigue failure is as high as 3%~4% of Gross National Product. Fatigue fracture owned to the cycle load accounts for 95% of the total number of mechanical structure failure. Unfortunately no evidence of failure is observed when fatigue failure reaches its life. This causes human casualties and great economic loss. So the reliability research on complicated mechanical systems has to realize from reliability assessment to the active reliability design. One of the key problems of the active reliability design for complicated mechanical system is to reduce the great waste of the resources used in the probability reliability test. For example, dozens of the high precision gears made of certain material may be run out in the fatigue test which would be running day and night for several months. It has been described many methods about system reliability design in the former research [1-3]. But for many high technological products and important mechanical devices, it is impossible to get the test sample to carry out probability analysis. To exert the advantages of the active reliability design and to realize the green reliability design [4], the only way is to study small samples in the reliability tests and to develop new technique. It is named as a few samples reliability tests method of the complicated mechanical systems.

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29

Hovde, G. O. y T. Moan. "Fatigue Reliability of TLP Tether Systems". Journal of Offshore Mechanics and Arctic Engineering 119, n.º 1 (1 de febrero de 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, and the initial crack sizes.

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30

Ramadhani, Adhitya Ryan y Waskito Pranowo. "Introducing Copula Functions to Estimate the Reliability of Dependent Mechanical Systems". Jurnal Rekayasa Sistem Industri 13, n.º 2 (22 de octubre de 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 these dependencies. The results reveal that the Clayton copula emerges as the most suitable model for representing dependence in such systems. Importantly, the reliability estimates obtained through copula-based methods not only reflect the complex interdependencies accurately but also align with the principles of the boundary theory of reliability. This research underscores the potential of copula-based reliability estimation as a valuable alternative, offering a more comprehensive and precise assessment of reliability in complex mechanical systems and holding significant promise for practical engineering applications. This framework allows the consideration of dependence among the observed variables that is usually overlooked in engineering practice.

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31

Long, Bing y Zhen Liu. "Special Issue on Intelligent Diagnostic and Prognostic Methods for Electronic Systems and Mechanical Systems". Applied Sciences 12, n.º 19 (8 de octubre de 2022): 10106. http://dx.doi.org/10.3390/app121910106.

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32

Royset, J. O., A. Der Kiureghian y E. Polak. "Reliability-Based Optimal Design of Series Structural Systems". Journal of Engineering Mechanics 127, n.º 6 (junio de 2001): 607–14. http://dx.doi.org/10.1061/(asce)0733-9399(2001)127:6(607).

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33

Huang, C. D., W. Q. Zhu y T. T. Soong. "Nonlinear Stochastic Response and Reliability of Secondary Systems". Journal of Engineering Mechanics 120, n.º 1 (enero de 1994): 177–96. http://dx.doi.org/10.1061/(asce)0733-9399(1994)120:1(177).

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34

Beden, S. "Reliability of the Installation and Operation of Pipeline Systems". Basrah journal for engineering science 16, n.º 2 (1 de junio de 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 design and safeassessment. Aiming to enhance the reliability and operation ofcomplex pipelines system, a study based on the mechanics of theelastoplastic fracture in order to determine better prediction of thefatigue life. The materials tested here are API 5L X42 and X52micro alloyed steels, as well as to evidence the toughness resistanceof these materials. Results indicated that both X42 and X52 steelbehave in a similar way and in all cases a slight increase of thetransition temperature was found. The characteristic toughnessvalue shows an evident loss in mechanical performances ifcompared to the uncharged one.

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35

Schueller, G. I. "On procedures for reliability assessment of mechanical systems and structures". Structural Engineering and Mechanics 25, n.º 3 (20 de febrero de 2007): 275–89. http://dx.doi.org/10.12989/sem.2007.25.3.275.

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36

Charlesworth, W. W. y S. S. Rao. "Reliability analysis of continuous mechanical systems using multistate fault trees". Reliability Engineering & System Safety 37, n.º 3 (enero de 1992): 195–206. http://dx.doi.org/10.1016/0951-8320(92)90123-3.

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37

Kumar, Girish, Vipul Jain y Umang Soni. "Modelling and simulation of repairable mechanical systems reliability and availability". International Journal of System Assurance Engineering and Management 10, n.º 5 (14 de agosto de 2019): 1221–33. http://dx.doi.org/10.1007/s13198-019-00852-3.

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38

Araki, Wakako, Takehiro Abe y 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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39

Kumar, Ashok y Demir I. Karsan. "Fatigue Reliability of Parallel Systems". Journal of Structural Engineering 116, n.º 3 (marzo de 1990): 719–29. http://dx.doi.org/10.1061/(asce)0733-9445(1990)116:3(719).

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40

Bulleit, William M., David V. Rosowsky, Kenneth J. Fridley y Marvin E. Criswell. "Reliability of Wood Structural Systems". Journal of Structural Engineering 119, n.º 9 (septiembre de 1993): 2629–41. http://dx.doi.org/10.1061/(asce)0733-9445(1993)119:9(2629).

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41

Xu, Yong Cheng, Bin Dong, Yue Li, Guo Ji Shen y Ming Lei Luo. "Reliability Modeling and Availability Simulating Based on GSPN Considering Hardware, Software and Human Factors". Advanced Materials Research 834-836 (octubre de 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 availability, two conceptions are presented: degree of facilitation and a new availability calculation model. Results show that the calculational value is very close to the simulating value. The new model based on facilitation is proved to be correct. The paper contributes to provide an effective reliability analyzing method and theoretical basis for complex mechanical system.

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42

Gao, Peng y Liyang Xie. "Reliability models of belt drive systems under slipping failure mode". Advances in Mechanical Engineering 9, n.º 1 (enero de 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, dynamic sensitivity models of belt drive reliability based on the proposed dynamic reliability models are proposed. In addition, numerical examples are given to illustrate the proposed models and analyze the influences of design parameters on dynamic characteristics of reliability, failure rate, and sensitivity functions. The results show that the statistical properties of design parameters have different influences on reliability and failure rate of belt drive in cases of different values of design parameters and different operational durations.

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43

Gao, Peng y 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 SDPD and failure dependence of mechanical components on dynamic reliability. The bolted joint systems for connection between launch vehicle and satellite are chosen as illustrative examples to demonstrate the proposed model. Moreover, Monte Carlo simulations are carried out to validate the effectiveness of the proposed models. The results show that SDPD and failure dependence of components have significant impacts on fuzzy dynamic reliability of mechanical systems. Besides, the influences of the fuzzy characteristics of stress on SDPD sensitivity and that on failure dependence sensitivity are different.

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Han, Wen Qin y Jin Yu Zhou. "Copula Simulation of Mechanical Structural Systems Failure Mode". Advanced Materials Research 462 (febrero de 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 functions value are chosen as the analytic variables of copula function and unknown parameters of copula are estimated by means of the random sampling data generated by Monte Carlo simulation in MATLAB software, thereby failure probability of the structural system is got by copula function. Finally, a practical case of copula demonstrates the feasibility of the method , which give a new path for the reliability analysis of mechanical structural system with correlated failure modes.

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45

Son, Young-Kap y Bong-Seok Kim. "Reliability Estimation of Position Repeatability for Robot Systems". Transactions of the Korean Society of Mechanical Engineers - A 47, n.º 2 (28 de febrero de 2023): 115–21. http://dx.doi.org/10.3795/ksme-a.2023.47.2.115.

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46

SIEGELL, JEFFREY H. "Reliability of Heat Integration Systems". Heat Transfer Engineering 10, n.º 3 (enero de 1989): 54–60. http://dx.doi.org/10.1080/01457638908939708.

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47

Dui, Hongyan, Liwei Chen y 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, n.º 1 (enero de 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 proposed method and illustrate the feasibility and practicality of the model.

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48

Masheder, R. R. "Subsea Pipeline Isolation Systems: Reliability and Costs". Journal of Offshore Mechanics and Arctic Engineering 118, n.º 3 (1 de agosto de 1996): 216–24. http://dx.doi.org/10.1115/1.2828837.

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49

Zhang, Yanshan y Zhengmao Yang. "Reliability sensitivity numerical analysis of mechanical structure based on gamma processes". Advances in Mechanical Engineering 8, n.º 12 (diciembre de 2016): 168781401667962. http://dx.doi.org/10.1177/1687814016679624.

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Using random variables to describe uncertain parameters in structural systems, its initial strength and the evolution process of the strength degradation is regarded as the Gamma process. In this article, we propose a new method on reliability sensitivity numerical analysis of mechanical structure based on Gamma processes. Then, we use the fourth moment method based on frequency curve of Pearson to solve the problem of reliability calculation with random parameters of arbitrary distributions. Formulas for calculating the reliability sensitivity with respect to the mean and the variance of the random variables are derived. The reliability analysis of the welded box girders of crane is taken as an example to verify the proposed method. The results show that the method can effectively solve the problem of the reliability sensitivity of structural systems with strength degradation.

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50

Sharma, Rajiv Kumar, Chandan Parbhot, Sidhant Thakur y Vivek Thakur. "Analysing Reliability Aspects of HVAC Systems - A Case". Advanced Materials Research 488-489 (marzo de 2012): 1813–17. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1813.

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The general objective of this work is to analyze the failure of HVAC components in metro trains by using reliability assessment techniques. Various failure causes with respect to the electronic, electrical, hydraulic, pneumatic, software and mechanical components were identified. To improve upon the reliability characteristics of the system, in depth qualitative analysis of all HVAC units is carried out using Root cause analysis (RCA) and failure modes and effect analysis (FMEA) by listing all possible failure modes and their possible causes. Based on FMEA of components, Risk Priority Number (RPN) is calculated.

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