Xiaosheng Si

Orcid: 0000-0001-5226-9923

Affiliations:
  • Xi'an Research Institute of High-Tech, Department of Automation, China
  • Tsinghua University, Department of Automation, Beijing, China


According to our database1, Xiaosheng Si authored at least 86 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Unmeasurable flexible dynamics monitoring and tracking controller design for guidance and control system of hypersonic flight vehicle.
J. Frankl. Inst., 2024

2023
A lifetime estimation method for multi-component degrading systems with deteriorating spare parts.
Reliab. Eng. Syst. Saf., October, 2023

Prognosis for stochastic degrading systems with massive data: A data-model interactive perspective.
Reliab. Eng. Syst. Saf., September, 2023

A multi-phase Wiener process-based degradation model with imperfect maintenance activities.
Reliab. Eng. Syst. Saf., April, 2023

Bayesian Deep-Learning-Based Prognostic Model for Equipment Without Label Data Related to Lifetime.
IEEE Trans. Syst. Man Cybern. Syst., 2023

DLVR-NWP: A Novel Data-Driven Bearing Degradation Model for RUL Estimation.
IEEE Trans. Instrum. Meas., 2023

Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery.
Reliab. Eng. Syst. Saf., 2023

A condition-based prognostic approach for age- and state-dependent partially observable nonlinear degrading system.
Reliab. Eng. Syst. Saf., 2023

Remaining useful life estimation for two-phase nonlinear degradation processes.
Reliab. Eng. Syst. Saf., 2023

2022
Nonlinear degradation modeling and prognostics: A Box-Cox transformation perspective.
Reliab. Eng. Syst. Saf., 2022

An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System.
IEEE CAA J. Autom. Sinica, 2022

Prognostics based on the generalized diffusion process with parameters updated by a sequential Bayesian method.
Sci. China Inf. Sci., 2022

2021
Prognostics Based on Stochastic Degradation Process: The Last Exit Time Perspective.
IEEE Trans. Reliab., 2021

Joint optimization of preventive maintenance and inventory management for standby systems with hybrid-deteriorating spare parts.
Reliab. Eng. Syst. Saf., 2021

A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data.
Reliab. Eng. Syst. Saf., 2021

An adaptive prognostics method for fusing CDBN and diffusion process: Application to bearing data.
Neurocomputing, 2021

Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method.
Sci. China Inf. Sci., 2021

Optimal replacement of degrading components: a control-limit policy.
Sci. China Inf. Sci., 2021

A joint order-replacement policy for deteriorating components with reliability constraint.
Sci. China Inf. Sci., 2021

A remaining life prediction method based on semi-random filter considering model uncertainty.
Proceedings of the CAA Symposium on Fault Detection, 2021

A New Missing Data Generation Method Based on An Improved DCGAN With Application to RUL Prediction.
Proceedings of the CAA Symposium on Fault Detection, 2021

A Bearing Remaining Useful Life Prediction Method based on Inception-Resnet Module and Attention Mechanism.
Proceedings of the CAA Symposium on Fault Detection, 2021

Sneak circuit analysis considering component performance degradation under digital twin model.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
A Novel Degradation Modeling and Prognostic Framework for Closed-Loop Systems With Degrading Actuator.
IEEE Trans. Ind. Electron., 2020

Prognostics for Linear Stochastic Degrading Systems With Survival Measurements.
IEEE Trans. Ind. Electron., 2020

A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing.
IEEE Trans. Ind. Electron., 2020

A novel iterative approach of lifetime estimation for standby systems with deteriorating spare parts.
Reliab. Eng. Syst. Saf., 2020

Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions.
Reliab. Eng. Syst. Saf., 2020

Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset.
Neurocomputing, 2020

Remaining Useful Life Prediction With Fusing Failure Time Data and Field Degradation Data With Random Effects.
IEEE Access, 2020

NHPP Testability Growth Model Considering Testability Growth Effort, Rectifying Delay, and Imperfect Correction.
IEEE Access, 2020

A Sequential Bayesian Updated Wiener Process Model for Remaining Useful Life Prediction.
IEEE Access, 2020

Fault Diagnosis Based on Multi-Scale Redefined Dimensionless Indicators and Density Peak Clustering With Geodesic Distances.
IEEE Access, 2020

Machinery Fault Diagnosis Scheme Using Redefined Dimensionless Indicators and mRMR Feature Selection.
IEEE Access, 2020

Remaining Useful Life Prediction Based on an Adaptive Inverse Gaussian Degradation Process With Measurement Errors.
IEEE Access, 2020

Remaining Useful Life Prediction Under Imperfect Prior Degradation Information.
IEEE Access, 2020

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

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

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

Robust Sliding Mode-Based Learning Control for MIMO Nonlinear Nonminimum Phase System in General Form.
IEEE Trans. Cybern., 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.
Reliab. Eng. Syst. Saf., 2019

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

A Note on Parameters Estimation for Nonlinear Wiener Processes With Measurement Errors.
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. Reliab., 2018

Specification analysis of the deteriorating sensor for required lifetime prognostic performance.
Microelectron. Reliab., 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.
J. Intell. Fuzzy Syst., 2018

Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods.
Eur. J. Oper. Res., 2018

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

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

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

Lifetime prognostics for deteriorating systems with time-varying random jumps.
Reliab. Eng. Syst. Saf., 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. Frankl. Inst., 2017

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

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

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

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

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

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

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

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

A Generalized Result for Degradation Model-Based Reliability Estimation.
IEEE Trans Autom. Sci. Eng., 2014

A case study of remaining storage life prediction using stochastic filtering with the influence of condition monitoring.
Reliab. Eng. Syst. Saf., 2014

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

2013
A State-Space-Based Prognostic Model for Hidden and Age-Dependent Nonlinear Degradation Process.
IEEE Trans Autom. Sci. Eng., 2013

A maintenance optimization model for mission-oriented systems based on Wiener degradation.
Reliab. Eng. Syst. Saf., 2013

Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors.
Int. J. Distributed Sens. Networks, 2013

A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution.
Eur. J. Oper. Res., 2013

Specifying measurement errors for required lifetime estimation performance.
Eur. J. Oper. Res., 2013

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

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

A New Prediction Model Based on Belief Rule Base for System's Behavior Prediction.
IEEE Trans. Fuzzy Syst., 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.
Eur. J. Oper. Res., 2011

Study on an intelligent fault-tolerant technique for multiple satellite configured navigation under highly dynamic conditions.
Sci. China Inf. Sci., 2011

2010
Dynamic evidential reasoning algorithm for systems reliability prediction.
Int. J. Syst. Sci., 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.
Sci. China Inf. Sci., 2010


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