Big data and reliability applications: The complexity dimension
Big data features not only large volumes of data but also data with complicated structures.
Complexity imposes unique challenges on big data analytics. Meeker and Hong (2014; …
Complexity imposes unique challenges on big data analytics. Meeker and Hong (2014; …
Reliability analysis of artificial intelligence systems using recurrent events data from autonomous vehicles
Artificial intelligence (AI) systems have become increasingly common and the trend will
continue. Examples of AI systems include autonomous vehicles (AV), computer vision …
continue. Examples of AI systems include autonomous vehicles (AV), computer vision …
Reliability estimation from left-truncated and right-censored data using splines
Reliability data are often left truncated and right censored, because the data-collection
process usually starts much later than the installation of the first product unit, and some units …
process usually starts much later than the installation of the first product unit, and some units …
Student-t Processes for Degradation Analysis
CY Peng, YS Cheng - Technometrics, 2020 - Taylor & Francis
Stochastic processes are widely used to analyze degradation data, and the Gaussian
process is a particularly common one. In this article, we propose a robust statistical model …
process is a particularly common one. In this article, we propose a robust statistical model …
Reliability analysis of accelerated destructive degradation testing data for bi-functional DC motor systems
C Lee, M Lim, C Kim, SJ Bae - Applied Sciences, 2021 - mdpi.com
Featured Application Automobile, DC motor. Abstract An accelerated degradation test (ADT)
has become a popular method to accelerate degradation mechanisms by stressing products …
has become a popular method to accelerate degradation mechanisms by stressing products …
Building degradation index with variable selection for multivariate sensory data
The modeling and analysis of degradation data have been an active research area in
reliability engineering for reliability assessment and system health management. As the …
reliability engineering for reliability assessment and system health management. As the …
A general accelerated destructive degradation testing model for reliability analysis
In recent years, accelerated destructive degradation testing (ADDT) has been applied to
obtain the reliability information of an asset (component) at use conditions when the …
obtain the reliability information of an asset (component) at use conditions when the …
An algorithm for constructing monotone quintic interpolating splines
A novel algorithm for computing monotone order six piecewise polynomial interpolants is
proposed. Algebraic constraints for enforcing monotonicity are provided that align with …
proposed. Algebraic constraints for enforcing monotonicity are provided that align with …
A random‐effect gamma process model with random initial degradation for accelerated destructive degradation testing data
An accelerated degradation test (ADT) hastens degradation mechanisms of products by
loading higher stresses than normal use conditions to shorten testing time. In some …
loading higher stresses than normal use conditions to shorten testing time. In some …
Degradation modeling and remaining useful lifetime prediction based on functional variance process
L Qin, Y Shen - Applied Stochastic Models in Business and …, 2024 - Wiley Online Library
Dynamic fluctuation is a common phenomenon in degradation processes. Hence, how to
model it properly has a great impact on the degradation modeling as well as the remaining …
model it properly has a great impact on the degradation modeling as well as the remaining …