RELIABILITY ANALYSIS OF FAILURE RELATED MECHANICAL PARTS BASED ON VINE COPULA MODEL
Jixie qiangdu, 2019 Aiming at mechanical parts for multi-failure modes,the advantages of using Copula functions to describe correlations,a reliability modeling method for multi-failure mode related mechanical parts is proposed.
HU QiGuo, ZHOU Song
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Spatial Copula Model for Imputing Traffic Flow Data from Remote Microwave Sensors
Sensors, 2017 Issues of missing data have become increasingly serious with the rapid increase in usage of traffic sensors. Analyses of the Beijing ring expressway have showed that up to 50% of microwave sensors pose missing values.
Xiaolei Ma, Sen Luan, Bowen Du, Bin Yu
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On three-parameter Grubbs copula-function
Izvestiya Vysshikh Uchebnykh Zavedenii. Matematika, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Modeling of multi-variable correlation degradation process based on copula function and improved particle swarm optimization algorithm [PDF]
AIP AdvancesWith the increasing complexity of modern equipment systems, ignoring the correlation between multi-component and multi-performance degradation processes can lead to significant deviations in reliability assessment.
Xinjian Gao +5 more
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A multivariate piecing-together approach with an application to operational loss data
, 2012 The univariate piecing-together approach (PT) fits a univariate generalized Pareto distribution (GPD) to the upper tail of a given distribution function in a continuous manner. We propose a multivariate extension.
Aulbach, Stefan +2 more
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Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley +1 more source
Journal of Forecasting, EarlyView.ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Analysis and Application of Mechanical System Reliability Model Based on Copula Function
Polish Maritime Research, 2016 There is complicated correlations in mechanical system. By using the advantages of copula function to solve the related issues, this paper proposes the mechanical system reliability model based on copula function.
An Hai, Yin Hang, He Fukai
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Archimedean Copula Estimation Parameter with Kendall Distribution Function
Cumhuriyet Science Journal, 2017 In the literature, up to now, it is common thatfor Gumbel, Clayton and Frank calculated Kendall Distribution function and to the extent those applications havebeen made.
Ayşe Metın Karakas +2 more
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