المؤلفون: Liu, Yimeng, Sui, Shaobo, Lu, Dan, Peng, Rui, Bai, Mingyang, Li, Daqing

المصدر: Reliability Engineering & System Safety, 247, 110128 (2024)

مصطلحات موضوعية: Physics - Physics and Society, Condensed Matter - Statistical Mechanics

الوصف: Most theoretical analysis for lifetime distribution explains origins of specific distribution based on independent failure. We develop a unified framework encompassing different lifetime distribution for failure-coupled network systems. We find three types of system lifetime distributions emerged from competence between system size N and failure coupling strength $\phi$. System lifetime distribution can be describe by modified Weibull model, which degenerates into Gompertz model when N dominates and exponential distribution when $\phi$ dominates. We derive asymptotic lifetime distribution. Specially, we derive a fundamental equation of thermodynamics for failure-coupled systems. Our study will help design highly reliable systems.

الوصول الحر: http://arxiv.org/abs/2311.07393Test

المؤلفون: Ma, Wanqi, Wang, Mingya, Wang, Mingshi, Tao, Lu, Li, Yuanhang, Yang, Shili, Zhang, Fan, Sui, Shaobo, Jia, Luhao

المصدر: Environmental Geochemistry & Health; Aug2024, Vol. 46 Issue 8, p1-22, 22p

مستخلص: The chlor-alkali industry (CAI) is crucial for global chemical production; however, its operation has led to widespread heavy metal (HM) contamination at numerous sites, which has not been thoroughly investigated. This study analysed 122 soil and groundwater samples from a typical CAI site in Kaifeng, China. Our aim was to assess the ecological and health risks, identify the sources, and examine the migration characteristics of HMs at this site using Monte Carlo simulation, absolute principal component score-multiple linear regression (APCS-MLR), and the potential environmental risk index (Ei). Our findings revealed that the exceedance rates for Cd, Pb, Hg, and Ni were 71.96%, 45.79%, 49.59%, and 65.42%, respectively. Mercury (Hg) displayed the greatest coefficient of variation across all the soil layers, indicating a significant anthropogenic influence. Cd and Hg were identified as having high and extremely high potential environmental risk levels, respectively. The spatial distributions of the improved Nemerow index (INI), total ecological risk (Ri), and HM content varied considerably, with the most contaminated areas typically associated with the storage of raw and auxiliary materials. Surface aggregation and significant vertical transport were noted for HMs; As and Ni showed substantial accumulation in subsoil layers, severely contaminating the groundwater. Self-organizing maps categorized the samples into two different groups, showing strong positive correlations between Cd, Pb, and Hg. The APCS-MLR model suggested that industrial emissions were the main contributors, accounting for 60.3% of the total HM input. Elevated hazard quotient values for Hg posed significant noncarcinogenic risks, whereas acceptable levels of carcinogenic risk were observed for both adults (96.60%) and children (97.83%). This study significantly enhances historical CAI pollution data and offers valuable insights into ongoing environmental and health challenges. [ABSTRACT FROM AUTHOR]

: Copyright of Environmental Geochemistry & Health is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

المؤلفون: Liu, Yimeng, Bai, Mingyang, Sui, Shaobo, Liu, Shiyan, Levy, Orr, Li, Jihong, Peng, Rui, Li, Daqing

المساهمون: National Natural Science Foundation of China, Safety Capability Building Fund of Civil Aviation Administration of China, Fundamental Research Funds for the Central Universities

المصدر: International Journal of General Systems ; page 1-18 ; ISSN 0308-1079 1563-5104

الإتاحة: https://doi.org/10.1080/03081079.2024.2347438Test

المؤلفون: Liu, Yimeng, Lu, Dan, Sui, Shaobo, Peng, Rui, Li, Jihong, Bai, Mingyang, Zhang, Xiaoke, Li, Daqing

المساهمون: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

المصدر: IEEE Internet of Things Journal ; volume 11, issue 13, page 23123-23139 ; ISSN 2327-4662 2372-2541

الإتاحة: https://doi.org/10.1109/jiot.2024.3387053Test
http://xplorestaging.ieee.org/ielx7/6488907/10570342/10496467.pdf?arnumber=10496467Test

المؤلفون: Liu, Yimeng, Sui, Shaobo, Lu, Dan, Peng, Rui, Bai, Mingyang, Li, Daqing

المساهمون: Civil Aviation Administration of China, National Natural Science Foundation of China

المصدر: Reliability Engineering & System Safety ; volume 247, page 110128 ; ISSN 0951-8320

مصطلحات موضوعية: Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality

الإتاحة: https://doi.org/10.1016/j.ress.2024.110128Test
https://api.elsevier.com/content/article/PII:S0951832024002023?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0951832024002023?httpAccept=text/plainTest

المؤلفون: Jia, Luhao, Wang, Mingya, Yang, Shili, Zhang, Fan, Wang, Yidong, Li, Penghao, Ma, Wanqi, Sui, Shaobo, Liu, Tong, Wang, Mingshi

المصدر: Sustainability (2071-1050); Jan2024, Vol. 16 Issue 1, p468, 26p

مستخلص: In addition to creating economic value, crops also serve important ecological functions. Especially their carbon sink function, which plays a key role in mitigating climate change. In this study, the LMDI and the Tapio model were innovatively combined to quantitatively evaluate the carbon emissions and sinks in the Yellow River basin (YRB). It shows that the average annual growth rate of the YRB was −0.1344% during 2002–2020. Carbon emissions show a negative trend due to the transformation and upgrading of agriculture from traditional to modern and the implementation of policies related to China's agricultural benefits. Agricultural production efficiency is a major factor in inhibiting agricultural carbon emissions, reducing carbon emissions by an average of approximately 8.07 million tons per year. High-carbon emission and high-sink areas in agriculture are mainly concentrated in the southeast of the YRB, where livestock and poultry farming is the principal source of carbon emissions, with rice, wheat, and corn being the principal contributors to the carbon sink. Moreover, there are significant differences in the carbon sink capacity of crops in the YRB. Optimizing crop selection and area distribution can enhance the carbon sink capacity in different regions, contributing to more effective carbon emission control. This study combines agricultural carbon emissions with the carbon sequestration capacity of crops, providing data support and a theoretical basis for the policy formulation and planning of low-carbon agriculture in China. It is of great significance for promoting sustainable agricultural development and mitigating climate change. [ABSTRACT FROM AUTHOR]

: Copyright of Sustainability (2071-1050) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

المؤلفون: Xu, Dan, Xiao, Xiaoqi, Liu, Jie, Sui, Shaobo

المساهمون: Fundamental Research Funds for the Central Universities, National key Laboratory of Science and Technology on Reliability and Environmental Engineering, National Natural Science Foundation of China

المصدر: Reliability Engineering & System Safety ; volume 229, page 108886 ; ISSN 0951-8320

مصطلحات موضوعية: Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality

الإتاحة: https://doi.org/10.1016/j.ress.2022.108886Test
https://api.elsevier.com/content/article/PII:S0951832022005038?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0951832022005038?httpAccept=text/plainTest

المؤلفون: Xu, Dan, He, Jiaolan, Sui, Shaobo, Jiang, Shan, Zhang, Wei

المساهمون: National Science Foundation of China

المصدر: IEEE Access ; volume 6, page 3120-3129 ; ISSN 2169-3536

مصطلحات موضوعية: General Engineering, General Materials Science, General Computer Science

الإتاحة: https://doi.org/10.1109/access.2017.2787184Test
http://xplorestaging.ieee.org/ielx7/6287639/8274985/08239786.pdf?arnumber=8239786Test

المؤلفون: Zhang, Fan, Wang, Mingshi, Wang, Mingya, Guo, Xiaoming, Fan, Chuanyi, Tao, Lu, Ma, Wanqi, Sui, Shaobo, Liu, Tong, Jia, Luhao

الإتاحة: https://doi.org/10.2139/ssrn.4795653Test

المؤلفون: Sui Shaobo, Li You, Xu Dan

المصدر: 2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai).

مصطلحات موضوعية: Computer science, ComputingMethodologies_MISCELLANEOUS, Evaluation methods, Cluster (physics), TOPSIS, Evaluation result, Maximization, Cluster analysis, Reliability engineering

الوصف: A new operating status evaluation method for smart meters was proposed in this paper, which combined TOPSIS, deviation maximization and cluster analysis. First of all, we built a status influence quantity of smart meters. Then we considered that the TOPSIS method can only get the relative evaluation result and can not reflect the weight of different evaluation vector. Thus, the calculation formula of distance was improved, in order to obtain the absolute evaluation result in the TOPSIS analysis. Combining with the empowerment of maximizing deviation method, the operating status scores of smart meters were obtained. Finally, combined with the clustering method, the operating status scores of the smart meters were discretized, thus the operating status of smart meters were determined.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::9855523e443d2781d512ffde2312d2f1Test
https://doi.org/10.1109/phm-shanghai49105.2020.9281002Test