Xiaosheng Si

According to our database1, Xiaosheng Si authored at least 49 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
An Adaptive Prognostic Approach Incorporating Inspection Influence for Deteriorating Systems.
IEEE Trans. Reliability, 2019

A Novel Lifetime Estimation Method for Two-Phase Degrading Systems.
IEEE Trans. Reliability, 2019

A General Stochastic Degradation Modeling Approach for Prognostics of Degrading Systems With Surviving and Uncertain Measurements.
IEEE Trans. Reliability, 2019

Robust Sliding Mode-Based Learning Control for MIMO Nonlinear Nonminimum Phase System in General Form.
IEEE Trans. Cybernetics, 2019

Lifetime Estimation for Multi-Phase Deteriorating Process with Random Abrupt Jumps.
Sensors, 2019

Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model.
Rel. Eng. & Sys. Safety, 2019

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures.
Neural Computation, 2019

Modified Bayesian D-Optimality for Accelerated Degradation Test Design With Model Uncertainty.
IEEE Access, 2019

State-of-Health Estimation for Lithium-Ion Batteries Based on Wiener Process With Modeling the Relaxation Effect.
IEEE Access, 2019

An Adaptive Prognostic Approach for Newly Developed System With Three-Source Variability.
IEEE Access, 2019

An Adaptive Remaining Useful Life Estimation Approach for Newly Developed System Based on Nonlinear Degradation Model.
IEEE Access, 2019

Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales.
IEEE Access, 2019

Nonlinear Step-Stress Accelerated Degradation Modeling and Remaining Useful Life Estimation Considering Multiple Sources of Variability.
IEEE Access, 2019

2018
An Optimal Condition-Based Replacement Method for Systems With Observed Degradation Signals.
IEEE Trans. Reliability, 2018

Specification analysis of the deteriorating sensor for required lifetime prognostic performance.
Microelectronics Reliability, 2018

Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations.
J. Control. Sci. Eng., 2018

A multi-stage Wiener process-based prognostic model for equipment considering the influence of imperfect maintenance activities.
Journal of Intelligent and Fuzzy Systems, 2018

Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods.
European Journal of Operational Research, 2018

2017
A Prognostic Model for Stochastic Degrading Systems With State Recovery: Application to Li-Ion Batteries.
IEEE Trans. Reliability, 2017

A Novel Unified and Self-Stabilizing Algorithm for Generalized Eigenpairs Extraction.
IEEE Trans. Neural Netw. Learning Syst., 2017

An Integrated Reliability Estimation Approach With Stochastic Filtering and Degradation Modeling for Phased-Mission Systems.
IEEE Trans. Cybernetics, 2017

Lifetime prognostics for deteriorating systems with time-varying random jumps.
Rel. Eng. & Sys. Safety, 2017

Degradation Data-Driven Remaining Useful Life Estimation in the Absence of Prior Degradation Knowledge.
J. Control. Sci. Eng., 2017

Stochastic degradation process modeling and remaining useful life estimation with flexible random-effects.
J. Franklin Institute, 2017

2016
A Nonlinear Prognostic Model for Degrading Systems With Three-Source Variability.
IEEE Trans. Reliability, 2016

Planning Repeated Degradation Testing for Products With Three-Source Variability.
IEEE Trans. Reliability, 2016

2015
An Age- and State-Dependent Nonlinear Prognostic Model for Degrading Systems.
IEEE Trans. Reliability, 2015

A Prognostic-Information-Based Order-Replacement Policy for a Non-Repairable Critical System in Service.
IEEE Trans. Reliability, 2015

An Adaptive Prognostic Approach via Nonlinear Degradation Modeling: Application to Battery Data.
IEEE Trans. Industrial Electronics, 2015

2014
An Additive Wiener Process-Based Prognostic Model for Hybrid Deteriorating Systems.
IEEE Trans. Reliability, 2014

Estimating Remaining Useful Life With Three-Source Variability in Degradation Modeling.
IEEE Trans. Reliability, 2014

A Residual Storage Life Prediction Approach for Systems With Operation State Switches.
IEEE Trans. Industrial Electronics, 2014

A Generalized Result for Degradation Model-Based Reliability Estimation.
IEEE Trans. Automation Science and Engineering, 2014

A case study of remaining storage life prediction using stochastic filtering with the influence of condition monitoring.
Rel. Eng. & Sys. Safety, 2014

Remaining Useful Life Estimation for Systems with Time-varying Mean and Variance of Degradation Processes.
Quality and Reliability Eng. Int., 2014

2013
A State-Space-Based Prognostic Model for Hidden and Age-Dependent Nonlinear Degradation Process.
IEEE Trans. Automation Science and Engineering, 2013

A maintenance optimization model for mission-oriented systems based on Wiener degradation.
Rel. Eng. & Sys. Safety, 2013

Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors.
IJDSN, 2013

A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution.
European Journal of Operational Research, 2013

Specifying measurement errors for required lifetime estimation performance.
European Journal of Operational Research, 2013

2012
Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process.
IEEE Trans. Reliability, 2012

2011
Online Updating With a Probability-Based Prediction Model Using Expectation Maximization Algorithm for Reliability Forecasting.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2011

A New Prediction Model Based on Belief Rule Base for System's Behavior Prediction.
IEEE Trans. Fuzzy Systems, 2011

On the dynamic evidential reasoning algorithm for fault prediction.
Expert Syst. Appl., 2011

Remaining useful life estimation - A review on the statistical data driven approaches.
European Journal of Operational Research, 2011

Study on an intelligent fault-tolerant technique for multiple satellite configured navigation under highly dynamic conditions.
SCIENCE CHINA Information Sciences, 2011

2010
Dynamic evidential reasoning algorithm for systems reliability prediction.
Int. J. Systems Science, 2010

System reliability prediction model based on evidential reasoning algorithm with nonlinear optimization.
Expert Syst. Appl., 2010

Fault prediction model based on evidential reasoning approach.
SCIENCE CHINA Information Sciences, 2010


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