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Engineering and Technology

D-Index
44
Citations
7376
World Ranking
5821
National Ranking
70

Overview

Zhi-Sheng Ye is affiliated with the National University of Singapore. Their work primarily focuses on engineering, with an emphasis on statistics, probability, and reliability within various subfields of study.

Their research spans multiple specialized areas, including:

  • Reliability and Maintenance Optimization
  • Statistical Distribution Estimation and Applications
  • Fault Detection and Control Systems
  • Probabilistic and Robust Engineering Design
  • Machine Fault Diagnosis Techniques
  • Advanced Battery Technologies Research
  • Software Reliability and Analysis Research

Key subfields tracked in their work involve:

  • Statistics and Probability
  • Safety, Risk, Reliability and Quality
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Statistics, Probability and Uncertainty

Zhi-Sheng Ye has contributed extensively to several publication venues, notably:

  • Reliability Engineering & System Safety
  • arXiv (Cornell University)
  • Technometrics
  • IEEE Transactions on Reliability
  • IISE Transactions

Among their recent papers are:

  • "Bayesian deep-learning for RUL prediction: An active learning perspective" (2022), published in Reliability Engineering & System Safety
  • "A Condition Monitoring and Fault Isolation System for Wind Turbine Based on SCADA Data" (2021), published in IEEE Transactions on Industrial Informatics
  • "Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries" (2023), published in IEEE Transactions on Intelligent Vehicles
  • "A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines" (2022), published in Reliability Engineering & System Safety
  • "Joint Modeling of Degradation and Lifetime Data for RUL Prediction of Deteriorating Products" (2020), published in IEEE Transactions on Industrial Informatics

The frequent collaborators of Zhi-Sheng Ye include:

  • Qiuzhuang Sun
  • Xingchen Liu
  • Piao Chen
  • Jiawen Hu
  • Yang Yang

Best Publications

  • Stochastic modelling and analysis of degradation for highly reliable products

    Zhi-Sheng Ye;Min Xie

  • The Inverse Gaussian Process as a Degradation Model

    Zhi-Sheng Ye;Nan Chen

  • Degradation Data Analysis Using Wiener Processes With Measurement Errors

    Zhi-Sheng Ye;Yu Wang;Kwok-Leung Tsui;Michael Pecht

  • RUL Prediction of Deteriorating Products Using an Adaptive Wiener Process Model

    Qingqing Zhai;Zhi-Sheng Ye

  • Condition-based maintenance using the inverse Gaussian degradation model

    Nan Chen;Zhi-Sheng Ye;Yisha Xiang;Linmiao Zhang

  • A new class of Wiener process models for degradation analysis

    Zhi-Sheng Ye;Nan Chen;Yan Shen

  • Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty

    Weiwen Peng;Zhi-Sheng Ye;Nan Chen

  • Accelerated Degradation Test Planning Using the Inverse Gaussian Process

    Zhi-Sheng Ye;Liang-Peng Chen;Loon Ching Tang;Min Xie

  • A two-phase preventive maintenance policy considering imperfect repair and postponed replacement

    Li Yang;Zhi-sheng Ye;Chi-Guhn Lee;Su-fen Yang

  • Bayesian deep-learning for RUL prediction: An active learning perspective

    Unknown

  • Degradation-based burn-in with preventive maintenance

    Zhi-Sheng Ye;Yan Shen;Min Xie

  • A Distribution-Based Systems Reliability Model Under Extreme Shocks and Natural Degradation

    Zhi Sheng Ye;Loon Ching Tang;Hai Yan Xu

  • Optimal Inspection and Replacement Policies for Multi-Unit Systems Subject to Degradation

    Qiuzhuang Sun;Zhi-Sheng Ye;Nan Chen

  • Semiparametric Estimation of Gamma Processes for Deteriorating Products

    Zhi-Sheng Ye;Min Xie;Loon-Ching Tang;Nan Chen

  • Designing Mission Abort Strategies Based on Early-Warning Information: Application to UAV

    Li Yang;Qiuzhuang Sun;Zhi-Sheng Ye

  • Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries

    Unknown

  • A Condition Monitoring and Fault Isolation System for Wind Turbine Based on SCADA Data

    Xingchen Liu;Juan Du;Zhi-Sheng Ye

  • Managing component degradation in series systems for balancing degradation through reallocation and maintenance

    Qiuzhuang Sun;Zhi-Sheng Ye;Xiaoyan Zhu

  • A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines

    Unknown

  • Warranty menu design for a two-dimensional warranty

    Zhi-Sheng Ye;D.N. Pra Murthy

  • Degradation-based burn-in planning under competing risks

    Zhi-Sheng Ye;Min Xie;Loon-Ching Tang;Yan Shen

  • Some improvements on adaptive genetic algorithms for reliability-related applications

    Zhisheng Ye;Zhizhong Li;Min Xie

  • Joint Online RUL Prediction for Multivariate Deteriorating Systems

    Weiwen Peng;Zhi-Sheng Ye;Nan Chen

  • Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations

    Zhi-Sheng Ye;Nan Chen

  • Supplement to Degradation-Based Burn-In Planning Under Competing Risks

    Zhi-Sheng Ye;Min Xie;Yan Shen;Loon-Ching Tang

Frequent Co-Authors

Min Xie
Min Xie City University of Hong Kong
Loon Ching Tang
Loon Ching Tang National University of Singapore
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Hon Keung Tony Ng
Hon Keung Tony Ng Southern Methodist University
Michael Pecht
Michael Pecht University of Maryland, College Park
Yi Ding
Yi Ding Zhejiang University

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