Ancha Xu

About

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Ancha Xu is a Professor of Statistics and Ph.D. supervisor at Zhejiang Gongshang University. His research interests include degradation data analysis and modeling, Bayesian online learning, objective Bayesian methods, and lifetime data analysis. He has published more than 60 SCI papers as first or corresponding author in leading reliability and statistics journals, including Naval Research Logistics, Scandinavian Journal of Statistics, Journal of Quality Technology, European Journal of Operational Research, IEEE Transactions on Reliability, and IISE Transactions, with 6 ESI Highly Cited Papers. He has served as principal investigator on more than ten projects funded by the National Natural Science Foundation of China and by provincial agencies. His honors include the Zhejiang Provincial Natural Science Award, the Fujian Provincial Natural Science Award, and the National Award for Statistical Science and Technology Progress. He was selected for Zhejiang’s Academician–Expert Mentoring Program for Young Talent and the Zhejiang High-Level Talent Special Support Program (Young Talent in Education). He currently serves as Vice Chair of the Reliability Society of the Operations Research Society of China, standing council member of the Reliability Engineering Society and the Big Data Statistics Society of the Chinese Association for Applied Statistics, and Associate Editor of Statistical Theory and Related Fields.

Datasets

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These pages collect commonly used degradation and reliability datasets, with brief descriptions, sources, and download links. Longer notes are available in Chinese: Part 1, Part 2, Part 3, and Part 4.

Part 1: classic degradation data
Part 2: industrial degradation data
Part 3: battery data
Part 4: destructive degradation data

Part 1 Link to heading

1. GaAs laser degradation data Link to heading

File: gaalaser_SMRD.txt

News

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2026 Link to heading

October: Ph.D. student Hong Yin was selected for the 2026 CAST Young Science and Technology Talent Cultivation Program (Doctoral Track).
October: M.S. students Zhen Chen, Lijia Liu, and Juan Wang received National Scholarships.
September: The paper “Modeling two-scale degradation with heterogeneity: a unified random-effects inverse Gaussian framework” was selected as a Featured Article by IISE Transactions.
August: The paper “Fault diagnosis of electromagnetic valve based on Bayesian optimization and two-layer long short-term memory neural network” was accepted by Quality and Reliability Engineering International.
August: Dr. Liangliang Zhuang received a National Natural Science Foundation of China Young Scientists Fund (Category C).
July: Dr. Liangliang Zhuang was selected for the National Funded Postdoctoral Researcher Program.
July: Dr. Liangliang Zhuang received the 79th China Postdoctoral Science Foundation General Grant.
July: M.S. students Jiahui Liu, Ziqi Chen, and Mengting Zhong won First Prize in the East China regional round of the 9th National Applied Statistics Professional Master Case Competition (and later a national third prize).
May: The paper “Bayesian group LASSO for high-dimensional stochastic frontiers analysis” was accepted by Statistical Theory and Related Fields.
April: The paper “A bivariate Wiener degradation model with partially random scale weights” was accepted by Reliability Engineering & System Safety.
March: The paper “A hierarchical Bayesian multivariate Wiener process model with dependent degradation rates and volatilities” was accepted by IEEE Transactions on Reliability.
February: The paper “Modeling two-scale degradation with heterogeneity: a unified random-effects inverse Gaussian framework” was accepted by IISE Transactions.
January: The paper “From Statistical Modeling to AI-Integrated Inverse Gaussian Process: A Comprehensive Review for Prognostics and Health Management” was accepted by Engineering Management.
January: The monograph Stochastic Degradation Processes and Statistical Modeling was approved as a Zhejiang Philosophy and Social Science Planning later-stage funded project (completed in March).
January: The group’s case “Aircraft engine remaining useful life prediction based on federated learning with adaptive sampling and ensemble methods” was selected as a 2025 Zhejiang Outstanding Teaching Case for Professional Degree Graduate Students.
January: “Federated learning with adaptive sampling and ensemble techniques for aircraft engine remaining useful life prediction” was selected as a 2024 Zhejiang Outstanding Innovation Outcome for Professional Degree Graduate Students (students: Lijia Liu, Xinming Weng, Zhen Chen, Juan Wang).
January: The paper “Kernel-based marginal testing for covariate effects in high-dimensional settings” was accepted by Scandinavian Journal of Statistics.
January: The paper “Joint modeling accelerated life tests and field data for reliability prediction” was accepted by Statistical Theory and Related Fields.

2025 Link to heading

December: The paper “An online Bayesian framework for identifying latent system degradation states” was accepted by IEEE Transactions on Reliability.
December: The monograph Stochastic Degradation Processes and Statistical Modeling was published by Science Press and selected for the Statistics and Data Science book series.
October: M.S. student Renbing Wang received a National Scholarship.
October: M.S. students Lijia Liu, Juan Wang, and Zhen Chen won a national second prize in the 8th National Applied Statistics Professional Master Case Competition.
October: Dr. Liangliang Zhuang was named a Star of Innovative Practice at the Yangtze River Delta Forum on Scientific Integrity and Academic Conduct.
October: The paper “A robust Bayesian framework for degradation state identification in the presence of outliers” was accepted by Naval Research Logistics.
September: The paper “Recursive Bayesian prediction of remaining useful life for gamma degradation process under conjugate priors” was accepted by Scandinavian Journal of Statistics.
September: The paper “Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction” was listed as an ESI Highly Cited Paper.
August: The paper “Efficient Bayesian reliability assessment for step-stress accelerated Wiener degradation model” was accepted by Reliability Engineering & System Safety.
August: The group was awarded an NSFC General Program, “Reliability assessment and Bayesian optimal design for multivariate skewed heavy-tailed degradation data (72571246)”.
June: Ph.D. student Liangliang Zhuang defended his dissertation and joined Nanjing University of Science and Technology, School of Economics and Management.
April: Ancha Xu and Lijia Liu won the championship of the 11th Feiyang Cup faculty–student badminton tournament.
April: Ancha Xu received the 4th Outstanding Mentor Award of Zhejiang Gongshang University.
April: The paper “Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction” was accepted by Applied Soft Computing.

2024 Link to heading

November: The team received the Third Prize of the Zhejiang Provincial Natural Science Award for “Small-sample theory and methods for reliability assessment” (Ancha Xu, Piao Chen, Bingxing Wang, Yincai Tang).
November: Ph.D. student Liangliang Zhuang received a National Scholarship.
October: Ph.D. student Hong Yin and M.S. student Di Zhu received first- and second-prize graduate paper awards from the Big Data Statistics Society of the Chinese Association for Applied Statistics.
October: The paper “Bayesian identification of system states in presence of measurement error” received the Best Paper Award at SRSE 2024.
September: The paper “Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction” was accepted by Journal of Quality Technology.
August: Dr. Shirong Zhou was awarded an NSFC Young Scientists Fund.
July: The paper “A Multivariate Student-t process model for dependent tail-weighted degradation data” was accepted by IISE Transactions.
June: The paper “Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process” was accepted by European Journal of Operational Research.
February: The paper “A prognostic driven predictive maintenance framework based on Bayesian deep learning” was listed as an ESI Hot Paper.

2023 Link to heading

December: Ph.D. student Liangliang Zhuang received an Outstanding Paper Award at the annual meeting of the Reliability Society of the Operations Research Society of China.
December: The group was awarded a Zhejiang Provincial Natural Science Foundation Key Program.
December: Dr. Shirong Zhou was awarded a Zhejiang Provincial Natural Science Foundation Young Scientists Fund.
July: Liangliang Zhuang received a China Scholarship Council fellowship for a one-year visit to the National University of Singapore (Jan 2024 – Jan 2025).

2022 Link to heading

December: Ph.D. student Liangliang Zhuang received the Best Student Paper Award at the 4th International Conference on System Reliability and Safety Engineering.
November: Ph.D. student Liangliang Zhuang received a national second prize at the 6th National Statistics Doctoral Forum.

Papers

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I have published 64 papers as first or corresponding author, including 6 ESI Highly Cited Papers. See also my Google Scholar and ResearchGate profiles.

Journal papers (underlined names are students) Link to heading

Jihong Pang, Yuanzhong Chen, Jinkun Dai, Ancha Xu, Shengliang Lu. (2026+). “Fault diagnosis of electromagnetic valve based on Bayesian optimization and two-layer long short-term memory neural network.” Quality and Reliability Engineering International. DOI:10.1002/qre.70354
Liangliang Zhuang, Yizhong Ma, Guanqi Fang, Ancha Xu. (2026+). “Modeling two-scale degradation with heterogeneity: a unified random-effects inverse Gaussian framework.” IISE Transactions. DOI: 10.1080/24725854.2026.2631614

Teaching

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Zhejiang Gongshang University Link to heading

Undergraduate

Statistical Quality Management
Quality Management
Bayesian Data Analysis
Foundations of Probability Theory
Probability and Mathematical Statistics II

Master’s

Financial Statistics
Probability Theory
Business Statistics
Literature Reading and Scientific Writing
Frontiers of Bayesian Computation

Doctoral

Topics in Management Statistics and Decision Making
Bayesian Optimization and Computation B

Wenzhou University Link to heading

Undergraduate

Modern Statistical Analysis
Time Series Analysis

Master’s

Team

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Collaborators Link to heading

Piao Chen, ZJU-UIUC Institute, Zhejiang University
Jiawen Hu, School of Aeronautics and Astronautics, University of Electronic Science and Technology of China
Weiwen Peng, School of Intelligent Systems Engineering, Sun Yat-sen University
Qingqing Zhai, School of Management, Shanghai University

Ph.D. students Link to heading

2022 Liangliang Zhuang (co-supervised with Prof. Liping Zhu)
2024 Hong Yin
2025 Di Zhu, Binbing Wang, Bin Yu

M.S. students Link to heading

2013 Yalan Li, Hui Zhang
2014 Xiaoxiao Li, Xiaoning Liu
2015 Shirong Zhou (Ph.D., East China Normal University; now at Wenzhou University); Zhengda Gao (co-supervised)
2016 Xiu Wang, Chao Yang, Gege Hou (co-supervised; Ph.D. at Northwestern Polytechnical University; now at Rocket Force University of Engineering)
2018 Huizi He, Bingpeng Yu, Li Ding (co-supervised)
2019 Liangliang Zhuang (Ph.D. at Zhejiang Gongshang University; National Scholarship, Zhejiang Outstanding Practice Outcome, Zhejiang Outstanding Graduate; now at Nanjing University of Science and Technology)
2020 Liming Zhang
2021 Cheng Gu, Binbing Wang (Ph.D. at Zhejiang Gongshang University), Changren Wu, Yuguo Xue
2022 Liuting An, Min Li, Xinming Weng, Yunlong Yu, Di Zhu (Ph.D. at Zhejiang Gongshang University)
2023 Renbing Wang, Qi Wu
2024 Zhen Chen, Lijia Liu, Juan Wang
2025 Ziqi Chen, Shuling Ding, Jiahui Liu, Yihang Miu, Jiaxiang Sun, Mengting Zhong

Student competitions Link to heading

First Prize, Zhejiang Challenge Cup (2015)
Ranked 2/3; the entry later received a national second prize
MCM/ICM Meritorious Winner (2012–2014, 2016)
First Prize, Zhejiang division of the China Undergraduate Mathematical Contest in Modeling (2012)
Third Prize, China Graduate Mathematical Contest in Modeling (2011, 2014, 2017)