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Journal articles on the topic 'Robustness and reliability'

Author: Grafiati

Published: 7 June 2025

Last updated: 17 July 2025

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1

Bialystok, Ellen. "ON THE RELIABILITY OF ROBUSTNESS." Studies in Second Language Acquisition 24, no. 3 (2002): 481–88. http://dx.doi.org/10.1017/s0272263102003054.

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DeKeyser (2000) reports a study in which he examines three hypotheses concerning the existence of a critical period for second language acquisition. He concludes that his data support all three predictions and that the notion of a critical period is the best account of the data. However, there are problems in both his interpretation of the data and the issues raised in his discussion that undermine that conclusion. The present paper examines the evidence for the three hypotheses proposed by DeKeyser and argues that the data do not provide the necessary support for the interpretation that a critical period has influenced the results.

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2

Johannesson, Pär, Bo Bergman, Thomas Svensson, et al. "A Robustness Approach to Reliability." Quality and Reliability Engineering International 29, no. 1 (2012): 17–32. http://dx.doi.org/10.1002/qre.1294.

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3

Sudjianto, Agus, Lokesh Juneja, Hari Agrawal, and Mahesh Vora. "Computer Aided Reliability and Robustness Assessment." International Journal of Reliability, Quality and Safety Engineering 05, no. 02 (1998): 181–93. http://dx.doi.org/10.1142/s0218539398000182.

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The competitive pressure to shorten product development time has necessitated the automotive industry to rely more on Computer Aided Engineering (CAE) for analyzing and proving product reliability and robustness. The challenge of this approach is the incorporation of product variability, due to manufacturing and customer usage variations in the analysis, requires a massive computation process which may be prohibitive even with today's advanced computers. In this paper, we demonstrate the use of an efficient computational procedure based on optimal Latin Hypercube Sampling (LHS) and a "cheap-to-compute" nonlinear surrogate model using Multivariate Adaptive Regression Splines (MARS) to emulate a computationally intensive complex CAE model. The result of the analysis is the identification of sensitivity of design parameters, in addition to a computationally affordable reliability assessment. Fatigue life durability of automotive shock tower is presented as an example to demonstrate the methodology.

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4

Jackson, G. "Reliability and robustness of engineering software." Computer-Aided Design 20, no. 5 (1988): 298. http://dx.doi.org/10.1016/0010-4485(88)90095-4.

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5

Edgar, John F., and Tonybendell. "The robustness of markov reliability models." Quality and Reliability Engineering International 2, no. 2 (1986): 117–26. http://dx.doi.org/10.1002/qre.4680020207.

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6

Lin, W. C., S. W. Ke, and C. F. Tsai. "Robustness and reliability evaluations of image annotation." Imaging Science Journal 64, no. 2 (2016): 94–99. http://dx.doi.org/10.1080/13682199.2016.1139290.

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7

Spencer, B. F., M. K. Sain, C. H. Won, D. C. Kaspari, and P. M. Sain. "Reliability-based measures of structural control robustness." Structural Safety 15, no. 1-2 (1994): 111–29. http://dx.doi.org/10.1016/0167-4730(94)90055-8.

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8

Kulakov, K. "Reliability in positioning of a vessel." Bulletin of Science and Practice, no. 4 (April 15, 2017): 103–6. https://doi.org/10.5281/zenodo.546278.

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The article describes the question of relative and precise positioning. The analysis of various systems of positioning from a robustness point of view is given. It is noted in the work that in the coastal areas of navigation the determination of the location of the vessel by a visual method or using a radar based on objects on the map or distinct landmarks of the coastline gives a fairly reliable absolute position of the vessel. The image of the radar echoes overlaid on the ECDIS map makes this clear and detailed. Finally, he comes to the conclusion that there is a need to improve existing systems as well as the creation of new and reliable positioning systems.

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9

Jin, Qi-Wen, Zheng Liu, and Shuan-Hai He. "Investigation on the Mathematical Relation Model of Structural Reliability and Structural Robustness." Mathematical and Computational Applications 26, no. 2 (2021): 26. http://dx.doi.org/10.3390/mca26020026.

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Structural reliability and structural robustness, from different research fields, are usually employed for the evaluative analysis of building and civil engineering structures. Structural reliability has been widely used for structural analysis and optimization design, while structural robustness is still in rapid development. Several dimensionless evaluation indexes have been defined for structural robustness so far, such as the structural reliability-based redundancy index. However, these different evaluation indexes are usually based on subjective definitions, and they are also difficult to put into engineering practice. The mathematical relational model between structural reliability and structural robustness has not been established yet. This paper is a quantitative study, focusing on the mathematical relation between structural reliability and structural robustness so as to further develop the theory of structural robustness. A strain energy evaluation index for structural robustness is introduced firstly by considering the energy principle. The mathematical relation model of structural reliability and structural robustness is then derived followed by a further comparative study on sensitivity, structural damage, and random variation factor. A cantilever beam and a truss beam are also presented as two case studies. In this study, a parabolic curve mathematical model between structural reliability and structural robustness is established. A significant variation trend for their sensitivities is also observed. The complex interaction mechanism of the joint effect of structural damage and random variation factor is also reflected. With consideration of the variation trend of the structural reliability index that is affected by different degrees of structural damage (mild impairment, moderate impairment, and severe impairment), a three-stage framework for structural life-cycle maintenance management is also proposed. This study can help us gain a better understanding of structural robustness and structural reliability. Some practical references are also provided for the better decision-making of maintenance and management departments.

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10

HANZAWA, Akimitsu. "111 Robustness and reliability based optimization considering practicality." Proceedings of OPTIS 2008.8 (2008): 53–58. http://dx.doi.org/10.1299/jsmeoptis.2008.8.53.

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11

Guedri, M., S. Cogan, and N. Bouhaddi. "Robustness of structural reliability analyses to epistemic uncertainties." Mechanical Systems and Signal Processing 28 (April 2012): 458–69. http://dx.doi.org/10.1016/j.ymssp.2011.11.024.

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12

Zhuang, Xiaotian, Rong Pan, and Xiaoping Du. "Enhancing product robustness in reliability-based design optimization." Reliability Engineering & System Safety 138 (June 2015): 145–53. http://dx.doi.org/10.1016/j.ress.2015.01.026.

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13

YANG, GUANGBIN. "DESIGN FOR RELIABILITY AND ROBUSTNESS: A CASE STUDY." International Journal of Reliability, Quality and Safety Engineering 16, no. 05 (2009): 403–11. http://dx.doi.org/10.1142/s0218539309003460.

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Resistance welding is to bond two pieces of metal materials together by melting the materials in the contact area. An elevated temperature is generated by contact resistance when electrical current flows through the contact area of the two materials. Generally, a current is applied through two close electrodes. Sometimes, however, it is necessary to set the two electrodes far apart when the contact area is physically unreachable. The far separation of the electrodes makes difficult to generate reliable welds. This paper describes a reliability and robustness design method for the welding process. In particular, a concept design was conducted to avoid welding failure modes. The critical dimensions of a work piece were defined to make a successful weld. Then the welding processes for various dimensions of the work pieces were optimized using Taguchi's parameter design method. A thermal cycle test was performed to evaluate the reliability of the welds. It is shown that the welding process is robust and the welds have high reliability.

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14

Zhu, Weihua, Shoudong Wang, Shengli Liu, Xueying Gao, Pengchong Zhang, and Lixiao Zhang. "Reliability and Robustness Assessment of Highway Networks under Multi-Hazard Scenarios: A Case Study in Xinjiang, China." Sustainability 15, no. 6 (2023): 5379. http://dx.doi.org/10.3390/su15065379.

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The robustness and reliability capacities of highways are particularly critical when dealing with emergencies in order to ensure user safety following disaster events. Assessing the robustness and reliability of highways under multi-hazard scenarios and evaluating the impact of planning on them have become urgent topics. In this study, we use the Xinjiang Production and Construction Corps’ (XPCC) existing and planned arterial highway networks in China for research. Based on the multi-hazard information, we established and employed four attack strategies on the existing and planned arterial highway networks. The results show that the exposure susceptibility coefficient (ESC) strategy has a higher destruction capability than the random attack strategy, which is close to the greedy algorithm coefficient (GAC) strategy. In addition, attacks have negligible impacts on connectivity reliability and robustness but significantly affect travel time reliability and robustness. When the number of removed edges reaches 20 using the ESC strategy, the travel time reliability drops to 0.4 for the existing highway network. In addition, the planned highway network significantly improves the reliability and robustness with regard to multi-hazard scenarios, especially for travel time reliability. Travel time reliability is improved by 10% under the historical damage records coefficient (HDRC) and ESC attacks. Our study shows that planning promotes the construction of a resilient transportation system in multi-hazard scenarios, providing valuable information for resilient transportation construction.

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Li, Changyou, Changshuai Qiao, Yimin Zhang, and Song Guo. "Reliability optimization design of connecting rod of locomotive traction equipment." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 9 (2014): 1623–29. http://dx.doi.org/10.1177/0954406214545817.

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High reliability of a locomotive is important for the railway transportation. This high reliability was guaranteed by use of a large safety factor resulting in cost increase of railway transportation generally. To overcome this high cost without sacrificing reliability, this work focuses on an optimization design method for the design of the connecting rod used in locomotive traction equipment. The reliability model is formulated based on the stress–intensity distribution interference theory and the reliability of the original connecting rod was estimated using advanced first order and second moment method. Then, the reliability–sensitivity is analyzed. The results show that the reliability of the connecting rod used in China is almost equal to one and the reliability robustness is high. To minimize the quality of the connecting rod under the condition of ensuring high reliability and reliability robustness, the reliability optimization models are proposed for three cross sections. The optimization results show that the quality of the optimized connecting rod could be reduced to less than 40% of the original without sacrificing reliability and reliability robustness.

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Dodigović, Filip, Krešo Ivandić, Meho-Saša Kovačević, and Božo Soldo. "Modified, Reliability-Based Robust Geotechnical Design Method, in Accordance with Eurocode 7." Applied Sciences 11, no. 18 (2021): 8423. http://dx.doi.org/10.3390/app11188423.

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In this paper a modification of the reliability-based robust geotechnical design (RGD) method is proposed. The intention of the proposed modifications is to simplify the method, make it less computationally expensive, and harmonise of the results with Eurocode 7. The complexity of the RGD method mainly stems from the calculation of the design’s robustness measure, which is the feasibility robustness index (ββ). Due to this fact, the replacing of the existing robustness measure with a generalised reliability index (β) is considered. It was demonstrated that β fits into the robustness concept, and is traditionally used as a construction reliability measure, making it intuitive and “user friendly”. It is proposed to conduct a sensitivity analysis using Soboli indices, with the aim of freezing the variables whose contribution to the system response variance is negligible, which will further simplify the method. By changing the robustness measure, the number of the required reliability analyses is significantly decreased. Further reduction is achieved by conducting analyses only for the designs chosen in the scope of the genetic algorithm. The original RGD method is used as an extension of traditional reliability-based design. By applying the proposed modifications, the RGD method can be used as an alternative to the classic and reliability-based design method.

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17

Sundaresan, Siddarth, and Ranbir Singh. "Breakthrough performance, reliability and robustness of SiC Junction Transistors." MRS Advances 1, no. 54 (2016): 3619–30. http://dx.doi.org/10.1557/adv.2016.418.

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ABSTRACT Despite having an npn epitaxial structure resembling a Si BJT, the switching performance of the SiC Junction Transistor or SJT is purely controlled by its terminal capacitances, similar to a SiC MOSFET or JFET. Further, the absence of a “high-resistance” SiC MOS channel in the SJT means that the SJT’s RON,sp is solely limited by the resistance of the n- drift region. Recently released SJTs feature RON,sp as low as 2 mΩ-cm2 for a breakdown voltage (BV) of 1600 V, and a RON,sp of 2.4 mΩ-cm2, for a breakdown voltage of 2000 V. Current gains &gt; 100 are achieved, even on the highest current SJTs. Unlike Si BJTs, SJTs do not suffer from second breakdown, and can perform under unclamped inductive switching (UIS) conditions, even at full rated collector currents. Near-∞ Early voltage and a negative temperature co-efficient of current gain in a SJT ensure low collector currents under short-circuited load conditions, resulting in short-circuit withstand time as high as 14 µs, even at &gt; 80% of the maximum rated BV. Recent technological developments have significantly improved the stability of the SJT current gain (β) under high-current stress conditions. A 1000-hour long, 200 A/cm2 DC current stress results in only 10% reduction of the current gain (β) during the early stages of the stress test, while the β is perfectly stable for the remainder (&gt;90%) of the stress duration. Similar β compression is observed, whether the collector current stress is applied at DC, or at a high switching frequency ≥ 200 kHz.

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18

Zissis, Georges. "The R3 Concept: Reliability, Robustness, and Resilience [President's Message]." IEEE Industry Applications Magazine 25, no. 4 (2019): 5–6. http://dx.doi.org/10.1109/mias.2019.2909374.

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19

Ryu, Sei Hyung, Brett A. Hull, Sarit Dhar, et al. "Performance, Reliability, and Robustness of 4H-SiC Power DMOSFETs." Materials Science Forum 645-648 (April 2010): 969–74. http://dx.doi.org/10.4028/www.scientific.net/msf.645-648.969.

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In this paper, we review the performance, reliability, and robustness of the current 4H-SiC power DMOSFETs. Due to advances in device and materials technology, high power, large area 4H-SiC power DMOSFETs (1200 V, 67 A and 3000 V, 30 A) can be fabricated with reasonable yields. The availability of large area devices has enabled the demonstration of the first MW class, all SiC power modules. Evaluations of 1200 V 4H-SiC DMOSFETs showed that the devices offer avalanche power exceeding those of commercially available silicon power MOSFETs, and have the sufficient short circuit robustness required in most motor drive applications. A recent TDDB study showed that the gate oxides in 4H-SiC MOSFETs have good reliability, with a 100-year lifetime at 375oC if Eox is limited to 3.9 MV/cm. Future work on MOS reliability should be focused on Vth shifts, instead of catastrophic failures of gate oxides.

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20

Khinvasara, Tushar, Abhishek Shankar, and Connor Wong. "Robustness and Reliability Testing in Healthcare Using Artificial Intelligence." Asian Journal of Research in Computer Science 17, no. 7 (2024): 103–18. http://dx.doi.org/10.9734/ajrcos/2024/v17i7482.

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Testing the security, efficiency, and dependability of AI-driven healthcare systems is crucial. It is essential to perform thorough and rigorous testing to make sure the AI algorithms are capable. Our goal is to ensure that these algorithms can handle a wide range of scenarios that may occur in healthcare settings. We must observe, for instance, how well they function in the presence of changes in patient characteristics, data accuracy, and even environmental factors. Developers are able to go deeply and find any potential flaws, biases, or restrictions by thoroughly testing AI models. This enables them to enhance and maximize the algorithms' performance. Our goal is for these AI systems to be adaptable and strong, ready to overcome any challenges. Our goal is for these AI systems to be adaptable and robust, ready to overcome whatever challenges they encounter. Reliability testing is another crucial step in this process. Our goal is to guarantee that, over time, the AI predictions in actual medical contexts continue to be accurate and dependable. In the end, we rely on these systems to produce trustworthy outcomes that actually enhance patient care. Developers and healthcare institutions are not the only parties involved in this. Policymakers and regulatory bodies are also quite important. They put a lot of effort into developing standards and protocols for carrying out trustworthy and demanding AI testing in the medical field. Strict safety and efficacy standards are met by AI-driven healthcare solutions thanks to the requirements they set for testing procedures, data quality, and performance indicators. This article focuses on all the current robustness and reliability testing using AI in Healthcare.

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Lee, Gwendolyn K., and Mo Wang. "Embracing Robustness and Reliability in the Science of Organizations." Journal of Management 46, no. 7 (2020): 1238–43. http://dx.doi.org/10.1177/0149206320917732.

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The science of organizations increases its credibility when it embraces research with an explicit focus on robustness and reliability. This special issue of curated commentaries recommends and illustrates how to incorporate robust and reliable research practices in organizational research. Together, these commentaries help researchers make contributions to improving every step of the research trajectory—theory development, methodology, and the process of quality control through peer review.

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22

Yassine, Ali A. "Investigating product development process reliability and robustness using simulation." Journal of Engineering Design 18, no. 6 (2007): 545–61. http://dx.doi.org/10.1080/09544820601011690.

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23

Wasserman, Gary S. "A Modeling Framework for Relating Robustness Measures with Reliability." Quality Engineering 8, no. 4 (1996): 681–92. http://dx.doi.org/10.1080/08982119608904679.

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24

Čizmar, Dean, Poul Henning Kirkegaard, John Dalsgaard Sørensen, and Vlatka Rajčić. "Reliability-based robustness analysis for a Croatian sports hall." Engineering Structures 33, no. 11 (2011): 3118–24. http://dx.doi.org/10.1016/j.engstruct.2011.05.006.

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25

Barber, Federico, and Miguel A. Salido. "Robustness, stability, recoverability, and reliability in constraint satisfaction problems." Knowledge and Information Systems 44, no. 3 (2014): 719–34. http://dx.doi.org/10.1007/s10115-014-0778-3.

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26

Sachaf, A., and I. E. Klein. "Reliability and robustness of thin film composite resistor networks." Quality and Reliability Engineering 8, no. 6 (1992): 531–36. http://dx.doi.org/10.1002/qre.4680080604.

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27

Li, Hao, Hongwei Qiao, and Eminjan Sabir. "Robustness of reliability bounds for (n,k)-star networks." Discrete Applied Mathematics 377 (December 2025): 51–65. https://doi.org/10.1016/j.dam.2025.06.064.

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28

Galati, Francesco, Sébastien Ourselin, and Maria A. Zuluaga. "From Accuracy to Reliability and Robustness in Cardiac Magnetic Resonance Image Segmentation: A Review." Applied Sciences 12, no. 8 (2022): 3936. http://dx.doi.org/10.3390/app12083936.

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Since the rise of deep learning (DL) in the mid-2010s, cardiac magnetic resonance (CMR) image segmentation has achieved state-of-the-art performance. Despite achieving inter-observer variability in terms of different accuracy performance measures, visual inspections reveal errors in most segmentation results, indicating a lack of reliability and robustness of DL segmentation models, which can be critical if a model was to be deployed into clinical practice. In this work, we aim to bring attention to reliability and robustness, two unmet needs of cardiac image segmentation methods, which are hampering their translation into practice. To this end, we first study the performance accuracy evolution of CMR segmentation, illustrate the improvements brought by DL algorithms and highlight the symptoms of performance stagnation. Afterwards, we provide formal definitions of reliability and robustness. Based on the two definitions, we identify the factors that limit the reliability and robustness of state-of-the-art deep learning CMR segmentation techniques. Finally, we give an overview of the current set of works that focus on improving the reliability and robustness of CMR segmentation, and we categorize them into two families of methods: quality control methods and model improvement techniques. The first category corresponds to simpler strategies that only aim to flag situations where a model may be incurring poor reliability or robustness. The second one, instead, directly tackles the problem by bringing improvements into different aspects of the CMR segmentation model development process. We aim to bring the attention of more researchers towards these emerging trends regarding the development of reliable and robust CMR segmentation frameworks, which can guarantee the safe use of DL in clinical routines and studies.

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Aishah Zainiar, Noor, Farabi Iqbal, ASM Supa’at, and Adam Wong Yoon Khang. "Robustness metrics for optical networks." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (2020): 845. http://dx.doi.org/10.11591/ijeecs.v20.i2.pp845-853.

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Telecommunication networks are vulnerable towards single or simultaneous nodes/links failures, which may lead to the disruption of network areas. The failures may cause performance degradation, reduced quality of services, reduced nodes/links survivability, stability, and reliability. Therefore, it is important to measure and enhance the network robustness, via the use of robustness metrics. This paper gives an overview of several robustness metrics that are commonly used for optical networks, from the structural, centrality and functional perspectives.

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Zainiar, Noor Aishah, Farabi Iqbal, ASM Supa'at, and Adam Wong Yoon Khang. "Robustness metrics for optical networks." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (2020): 845–53. https://doi.org/10.11591/ijeecs.v20.i2.pp845-853.

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Telecommunication networks are vulnerable towards single or simultaneous nodes/links failures, which may lead to the disruption of network areas. The failures may cause performance degradation, reduced quality of services, reduced nodes/links survivability, stability, and reliability. Therefore, it is important to measure and enhance the network robustness, via the use of robustness metrics. This paper gives an overview of several robustness metrics that are commonly used for optical networks, from the structural, centrality and functional perspectives.

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31

Khan, M. Ashraf, Jason M. Kulick, David Kopp, Patrick Fay, Alfred M. Kriman, and Gary H. Bernstein. "Design and Robustness of Quilt Packaging Superconnect." Journal of Microelectronics and Electronic Packaging 10, no. 1 (2013): 8–14. http://dx.doi.org/10.4071/imaps.358.

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Quilt packaging (QP) is a novel high-speed super-connect (i.e., direct interchip interconnect), developed to improve electrical performance—signal delay, power loss, and so on. Ultrahigh bandwidth has already been demonstrated for QP, but its unique structure requires thermal reliability issues to be studied. To this end, simulation models were developed to study the robustness of QP. QP structures were fabricated, and thermal cycling tests were performed focusing on the reliability for various shapes of nodules, the basic physical interconnect unit of QP. Simulations were performed to determine stress over a range of temperatures and estimate low cycle fatigue lifetimes. Simulations considered two types of solder and several adhesives. Thermal cycling experiments indicate that QP provides a robust structure, in agreement with the simulation results.

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Khan, M. Ashraf, Jason M. Kulick, Alfred M. Kriman, and Gary H. Bernstein. "Design and Robustness of Quilt Packaging Superconnect." International Symposium on Microelectronics 2012, no. 1 (2012): 000524–30. http://dx.doi.org/10.4071/isom-2012-poster_khan.

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Quilt Packaging (QP) is a novel high-speed superconnect (i.e. direct interchip interconnect), developed to improve electrical performance — signal delay, power loss, etc. Ultrahigh bandwidth has already been demonstrated for QP, but its unique structure requires thermal reliability issues to be studied. To this end, simulation models were developed to study the robustness of QP. QP structures were fabricated, and thermal cycling tests were performed focusing on the reliability for various shapes of nodules, the basic physical interconnect unit of QP. Simulations were performed to determine stress over a range of temperatures and estimate low cycle fatigue lifetimes. Simulations considered two types of solder and several adhesives. Thermal cycling experiments indicate that QP provides a robust structure, in agreement with the simulation results.

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Yetkin, Mevlut, Mustafa Berber, and Cevat Inal. "Robustness analysis of geodetic networks in the case of correlated observations." Boletim de Ciências Geodésicas 19, no. 3 (2013): 434–51. http://dx.doi.org/10.1590/s1982-21702013000300006.

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GPS (or GNSS) networks are invaluable tools for monitoring natural hazards such as earthquakes. However, blunders in GPS observations may be mistakenly interpreted as deformation. Therefore, robust networks are needed in deformation monitoring using GPS networks. Robustness analysis is a natural merger of reliability and strain and defined as the ability to resist deformations caused by the maximum undetecle errors as determined from internal reliability analysis. However, to obtain rigorously correct results; the correlations among the observations must be considered while computing maximum undetectable errors. Therefore, we propose to use the normalized reliability numbers instead of redundancy numbers (Baarda's approach) in robustness analysis of a GPS network. A simple mathematical relation showing the ratio between uncorrelated and correlated cases for maximum undetectable error is derived. The same ratio is also valid for the displacements. Numerical results show that if correlations among observations are ignored, dramatically different displacements can be obtained depending on the size of multiple correlation coefficients. Furthermore, when normalized reliability numbers are small, displacements get large, i.e., observations with low reliability numbers cause bigger displacements compared to observations with high reliability numbers.

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Aytaç, Aysun, and Zeynep Nihan Odabaş Berberler. "Network robustness and residual closeness." RAIRO - Operations Research 52, no. 3 (2018): 839–47. http://dx.doi.org/10.1051/ro/2016071.

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A central issue in the analysis of complex networks is the assessment of their robustness and vulnerability. A variety of measures have been proposed in the literature to quantify the robustness of networks and a number of graph-theoretic parameters have been used to derive formulas for calculating network reliability. In this paper, we study the vulnerability of interconnection networks to the failure of individual nodes, using a graph-theoretic concept of residual closeness as a measure of network robustness which provides a much fuller characterization of the network.

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35

Du, Xiaoping, Agus Sudjianto, and Wei Chen. "An Integrated Framework for Optimization Under Uncertainty Using Inverse Reliability Strategy." Journal of Mechanical Design 126, no. 4 (2004): 562–70. http://dx.doi.org/10.1115/1.1759358.

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In this work, we propose an integrated framework for optimization under uncertainty that can bring both the design objective robustness and the probabilistic design constraints into account. The fundamental development of this work is the employment of an inverse reliability strategy that uses percentile performance for assessing both the objective robustness and probabilistic constraints. The percentile formulation for objective robustness provides us an accurate evaluation of the variation of an objective performance and a probabilistic measurement of the robustness. We can obtain more reasonable compound noise combinations for a robust design objective compared to using the traditional approach proposed by Taguchi. The proposed formulation is very efficient to solve since it only needs to evaluate the constraint functions at the required reliability levels. The other major development of this work is a new search algorithm for the Most Probable Point of Inverse Reliability (MPPIR) that can be used to efficiently evaluate percentile performances for both robustness and reliability assessments. Multiple strategies are employed in the MPPIR search, including using the steepest ascent direction and an arc search. The algorithm is applicable to general non-concave and non-convex performance functions of random variables following any continuous distributions. The effectiveness of the MPPIR search algorithm is verified using example problems. Overall, an engineering example on integrated robust and reliability design of a vehicle combustion engine piston is used to illustrate the benefits of our proposed method.

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Tanaka, Hidekazu, and Zahra Sharif Khodaei. "Reliability Assessment of SHM Methodologies for Damage Detection." Key Engineering Materials 713 (September 2016): 244–47. http://dx.doi.org/10.4028/www.scientific.net/kem.713.244.

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Probability-based imaging which illustrates a distribution map of probability of damage presence in structures is a diagnostic method well established for damage detection in sensorized structures. Since the quality of the recorded signal is directly linked to the reliability of the diagnostic outcome, the assessment of robustness of the damage detection methodology is of high significance. In this paper, robustness and reliability of the current probability based imaging algorithms have been assessed for detecting BVID in a composite panel. Consequently, a proposed outlier analysis and DI probability distribution damage detection algorithm was shown to improve the reliability of the detection method.

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Bleiweiss-Sande, Rachel, Kenneth Chui, E. Whitney Evans, Jeanne Goldberg, Sarah Amin, and Jennifer Sacheck. "Robustness of Food Processing Classification Systems." Nutrients 11, no. 6 (2019): 1344. http://dx.doi.org/10.3390/nu11061344.

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Discrepancies exist among food processing classification systems and in the relationship between processed food intake and dietary quality of children. This study compared inter-rater reliability, food processing category, and the relationship between processing category and nutrient concentration among three systems (Nova, International Food Information Council (IFIC), and University of North Carolina at Chapel Hill (UNC)). Processing categories for the top 100 most commonly consumed foods children consume (NHANES 2013–2014) were independently coded and compared using Spearman’s rank correlation coefficient. Relative ability of nutrient concentration to predict processing category was investigated using linear discriminant analysis and multinomial logistic regression and compared between systems using Cohen’s kappa coefficient. UNC had the highest inter-rater reliability (ρ = 0.97), followed by IFIC (ρ = 0.78) and Nova (ρ = 0.76). UNC and Nova had the highest agreement (80%). Lower potassium was predictive of IFIC’s classification of foods as moderately compared to minimally processed (p = 0.01); lower vitamin D was predictive of UNC’s classification of foods as highly compared to minimally processed (p = 0.04). Sodium and added sugars were predictive of all systems’ classification of highly compared to minimally processed foods (p < 0.05). Current classification systems may not sufficiently identify foods with high nutrient quality commonly consumed by children in the U.S.

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Spring, Sam A., Sean Goggins, and Christopher G. Frost. "Ratiometric Electrochemistry: Improving the Robustness, Reproducibility and Reliability of Biosensors." Molecules 26, no. 8 (2021): 2130. http://dx.doi.org/10.3390/molecules26082130.

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Electrochemical biosensors are an increasingly attractive option for the development of a novel analyte detection method, especially when integration within a point-of-use device is the overall objective. In this context, accuracy and sensitivity are not compromised when working with opaque samples as the electrical readout signal can be directly read by a device without the need for any signal transduction. However, electrochemical detection can be susceptible to substantial signal drift and increased signal error. This is most apparent when analysing complex mixtures and when using small, single-use, screen-printed electrodes. Over recent years, analytical scientists have taken inspiration from self-referencing ratiometric fluorescence methods to counteract these problems and have begun to develop ratiometric electrochemical protocols to improve sensor accuracy and reliability. This review will provide coverage of key developments in ratiometric electrochemical (bio)sensors, highlighting innovative assay design, and the experiments performed that challenge assay robustness and reliability.

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Postle-Floyd, Hayden, and Tohid Erfani. "Reliability and Robustness Analysis of the Masinga Dam under Uncertainty." Climate 5, no. 1 (2017): 12. http://dx.doi.org/10.3390/cli5010012.

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JOHNSON, M. E., T. DAVIS, and H. L. LEE. "Robustness of order reliability models with applications to order ageing." International Journal of Production Research 34, no. 12 (1996): 3499–514. http://dx.doi.org/10.1080/00207549608905102.

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Soler, Léna. "Against Robustness? Strategies to Support the Reliability of Scientific Results." International Studies in the Philosophy of Science 28, no. 2 (2014): 203–15. http://dx.doi.org/10.1080/02698595.2014.932530.

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Godfrey, L. G., and C. D. Orme. "On improving the robustness and reliability of Rao's score test." Journal of Statistical Planning and Inference 97, no. 1 (2001): 153–76. http://dx.doi.org/10.1016/s0378-3758(00)00351-7.

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Sterner, Mikael, Nutapong Somjit, Umer Shah, et al. "Microwave MEMS devices designed for process robustness and operational reliability." International Journal of Microwave and Wireless Technologies 3, no. 5 (2011): 547–63. http://dx.doi.org/10.1017/s1759078711000845.

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This paper presents an overview on novel microwave micro-electromechanical systems (MEMS) device concepts developed in our research group during the last 5 years, which are specifically designed for addressing some fundamental problems for reliable device operation and robustness to process parameter variation. In contrast to conventional solutions, the presented device concepts are targeted at eliminating their respective failure modes rather than reducing or controlling them. Novel concepts of MEMS phase shifters, tunable microwave surfaces, reconfigurable leaky-wave antennas, multi-stable switches, and tunable capacitors are presented, featuring the following innovative design elements: dielectric-less actuators to overcome dielectric charging; reversing active/passive functions in MEMS switch actuators to improve recovery from contact stiction; symmetrical anti-parallel metallization for full stress-control and temperature compensation of composite dielectric/metal layers for free-standing structures; monocrystalline silicon as structural material for superior mechanical performance; and eliminating thin metallic bridges for high–power handling. This paper summarizes the design, fabrication, and measurement of devices featuring these concepts, enhanced by new characterization data, and discusses them in the context of the conventional MEMS device design.

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Lelièvre, Nicolas, Pierre Beaurepaire, Cécile Mattrand, Nicolas Gayton, and Abdelkader Otsmane. "On the consideration of uncertainty in design: optimization - reliability - robustness." Structural and Multidisciplinary Optimization 54, no. 6 (2016): 1423–37. http://dx.doi.org/10.1007/s00158-016-1556-5.

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Bhattacharya, Baidurya. "A reliability based measure of structural robustness for coherent systems." Structural Safety 89 (March 2021): 102050. http://dx.doi.org/10.1016/j.strusafe.2020.102050.

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Hossein Akbari, Schlumberger. "Wire-Bonding Reliability Evaluationa." International Symposium on Microelectronics 2020, no. 1 (2020): 000242–45. http://dx.doi.org/10.4071/2380-4505-2020.1.000242.

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Abstract In microelectronic devices, wire bonding is the most common first-level interconnection method between die and lead. Failure of wire bonding causes component failure. Component failure may lead to system or sub-system failures, which often have very expensive consequences. Such failures are even more severe in the harsh operating conditions of the Oil and Gas industry, where services such as rig charge are extremely expensive. We have developed a robustness-evaluation method for microelectronic components using construction analysis.

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Park, Jinhwan, Donghyeon Yoo, Jaemin Moon, et al. "Reliability-Based Robust Design Optimization of Lithium-Ion Battery Cells for Maximizing the Energy Density by Increasing Reliability and Robustness." Energies 14, no. 19 (2021): 6236. http://dx.doi.org/10.3390/en14196236.

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Lithium-ion batteries (LIBs) are increasingly employed in electric vehicles (EVs) owing to their advantages, such as low weight, and high energy and power densities. However, the uncertainty encountered in the manufacturing of LIB cells increases the failure rate and causes cell-to-cell variations, thereby degrading the battery capacity and lifetime. In this study, the reliability and robustness of LIB cells were improved using the design of experiments (DOE), and the reliability-based robust design optimization (RBRDO) approaches. First, design factors sensitive to the energy density and power density were selected as design variables through sensitivity analysis using the DOE. RBRDO was performed to maximize the energy density while reducing the failure rate and cell-to-cell variations. To verify the superiority of the reliability and robustness offered by RBRDO, the obtained results were compared with those from conventional deterministic design optimization (DDO), and reliability-based design optimization (RBDO). RBRDO increased the mean of the energy density by 33.5% compared to the initial value and reduced the failure rate by 98.9%, due to improved reliability, compared to DDO. Moreover, RBRDO reduced the standard deviation in the energy density (i.e., cell-to-cell variations) by 30.0% due to the improved robustness compared to RBDO.

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Mourelatos, Zissimos P., and Jinghong Liang. "A Methodology for Trading-Off Performance and Robustness Under Uncertainty." Journal of Mechanical Design 128, no. 4 (2005): 856–63. http://dx.doi.org/10.1115/1.2202883.

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Mathematical optimization plays an important role in engineering design, leading to greatly improved performance. Deterministic optimization, however, may result in undesired choices because it neglects uncertainty. Reliability-based design optimization (RBDO) and robust design can improve optimization by considering uncertainty. This paper proposes an efficient design optimization method under uncertainty, which simultaneously considers reliability and robustness. A mean performance is traded-off against robustness for a given reliability level of all performance targets. This results in a probabilistic multiobjective optimization problem. Variation is expressed in terms of a percentile difference, which is efficiently computed using the advanced mean value method. A preference aggregation method converts the multiobjective problem to a single-objective problem, which is then solved using an RBDO approach. Indifference points are used to select the best solution without calculating the entire Pareto frontier. Examples illustrate the concepts and demonstrate their applicability.

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Li, Fei, Wenyi Liu, Wanjia Gao, Yanfang Liu, and Yanjun Hu. "Design and Reliability Analysis of a Novel Redundancy Topology Architecture." Sensors 22, no. 7 (2022): 2582. http://dx.doi.org/10.3390/s22072582.

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Topology architecture has a decisive influence on network reliability. In this paper, we design a novel redundancy topology and analyze the structural robustness, the number of redundant paths between two terminal nodes, and the reliability of the proposed topology by using natural connectivity and time-independent and time-dependent terminal pair reliability, k-terminal reliability, and all-terminal reliability comprehensively and quantitatively, and we compare these measures of the proposed topology with AFDX in three scenarios. The evaluations show that in the structural robustness analysis, when no nodes are removed, the natural connectivity of the proposed topology with 10 nodes, 16 nodes, and 20 nodes is 77.8%, 26.95%, and 81.39% higher than that of AFDX, respectively. In the time-independent reliability analysis, when the link reliability is 0.9, terminal pair reliability of the proposed topology with 10 nodes, 16 nodes, and 20 nodes is 5.78%, 17.75%, and 34.65% higher than that of AFDX, respectively; k-terminal reliability is 10.04%, 31.97%, and 53.74% higher than that of AFDX, respectively; and all-terminal reliability is 29.36%, 74.37%, and 107.91% higher than that of AFDX, respectively. In the time-dependent reliability analysis, when the operating time is 8000 h, the terminal pair reliability of the proposed topology with 10 nodes, 16 nodes, and 20 nodes is 3.53%, 10.87%, and 21.08% higher than that of AFDX, respectively; the k-terminal reliability is 6.20%, 19.65%, and 32.58% higher than that of AFDX, respectively; and the all-terminal reliability is 18.25%, 45.04%, and 63.86% higher than that of AFDX, respectively. The proposed topology increases the redundant paths of data transmission. It ensures reliable data transmission and has high robustness and reliability. It provides a new idea for improving the reliability of industrial buses.

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Ghiya, Kinnar K., A. Terry Bahill, and William L. Chapman. "QFD: VALIDATING ROBUSTNESS." Quality Engineering 11, no. 4 (1999): 593–611. http://dx.doi.org/10.1080/08982119908919280.

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