activity
20242026
most citedReliability Modeling of Single-Sided Aluminized Polyimide Films during Storage Considering Stress-Induced Degradation Mechanism Transition

2 citations · 2 across the 3 of their papers we have counts for

collaborators

10 papers

cs.LG2026

Causal feature selection framework for stable soft sensor modeling based on time-delayed cross mapping

Shi-Shun Chen, Xiao-Yang Li, Enrico Zio

Soft sensor modeling plays a crucial role in process monitoring. Causal feature selection can enhance the performance of soft sensor models in industrial applications. However, exi…

stat.AP20262 cited

Reliability Modeling of Single-Sided Aluminized Polyimide Films during Storage Considering Stress-Induced Degradation Mechanism Transition

Shi-Shun Chen, Dong-Hua Niu, Wen-Bin Chen +4

Single-sided aluminized polyimide films (SAPF) are widely used in thermal management of aerospace systems. Although the reliability of SAPF in space environments has been thoroughl…

physics.soc-ph2026

Reliability is a new science: we are on the right way

Xiao-Yang Li, Shi-Shun Chen, Waichon Lio +1

Reliability has long been treated as an engineering practice supported by testing, statistics and standards, yet its status as a scientific discipline remains unsettled. From a phi…

eess.SY2025

TERIME: An improved RIME algorithm with enhanced exploration and exploitation for robust parameter extraction of photovoltaic models

Shi-Shun Chen, Yu-Tong Jiang, Wen-Bin Chen +1

Parameter extraction of photovoltaic (PV) models is crucial for the planning, optimization, and control of PV systems. Although some methods using meta-heuristic algorithms have be…

stat.AP2025

A new moment-independent uncertainty importance measure based on cumulative residual entropy for developing uncertainty reduction strategies

Shi-Shun Chen, Xiao-Yang Li

Uncertainty reduction is vital for improving system reliability and reducing risks. To identify the best target for uncertainty reduction, uncertainty importance measure is commonl…

stat.AP2025

Comparison of global sensitivity analysis methods for a fire spread model with a segmented characteristic

Shi-Shun Chen, Xiao-Yang Li

Global sensitivity analysis (GSA) can provide rich information for controlling output uncertainty. In practical applications, segmented models are commonly used to describe an abru…