Article
Engineering, Industrial
Bokai Zheng, Cen Chen, Yigang Lin, Yifan Hu, Xuerong Ye, Guofu Zhai, Enrico Zio
Summary: The proposed method introduces a new optimal design approach for SSADTs, utilizing a generalized Wiener process-based degradation model to consider degradation distribution features and establish an optimization model for determining the optimal SSADT plan. This method is applied to design a SSADT plan for a metal-film resistor, confirming the necessity and robustness of the approach.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Management
Xiujie Zhao, Piao Chen, Olivier Gaudoin, Laurent Doyen
Summary: This study proposes a framework to analyze accelerated degradation testing (ADT) data in the presence of inspection effects and suggests methods to improve parameter estimation efficiency by studying the effects induced by inspections.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Automation & Control Systems
Yang Li, Shuiqing Xu, Hongtian Chen, Li Jia, Kun Ma
Summary: To achieve fault diagnosis and prognosis, sufficient and valid life-cycle data is required. The technique of accelerated degradation testing can address this issue, but a reliable testing/measuring technique is needed to build an accurate model. Since traditional models cannot handle unreliable signals and obtain analytical expressions, they rarely reflect the practical situation well. Therefore, this study proposes an accurate model with considering the unreliable signals and derives a closed-form expression for the useful life analysis. Compared to traditional models, the proposed model is more accurate in the useful life analysis.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Mathematics, Applied
Di Liu, Shaoping Wang, Chao Zhang
Summary: This study combines artificial neural networks with Wiener processes to develop an accelerated testing model for improving reliability estimation accuracy. The effectiveness of the proposed method is verified through simulation experiments and case studies, demonstrating superiority and practicality in population evaluation and individual predictions compared to other methods.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Energy & Fuels
Peter Hacke, Akash Kumar, Kent Terwilliger, Paul Ndione, Sergiu Spataru, Ashwini Pavgi, Kaushik Roy Choudhury, Govindasamy Tamizhmani
Summary: By using combined-accelerated stress testing (C-AST), the degradation modes of bifacial cells and modules were evaluated and compared. It was found that glass-glass modules with monofacial cells were more prone to grid finger breakage. The UV-fluorescence signatures observed in C-AST testing were similar to those in fielded modules, indicating the effectiveness of this testing method. Light-induced degradation (LID) and potential-induced degradation (PID) were identified in the testing, suggesting potential issues in real-world conditions. The study also confirmed the vulnerability of glass-glass modules to PID.
PROGRESS IN PHOTOVOLTAICS
(2022)
Article
Mathematics
Peihua Jiang
Summary: This paper proposes a constant-stress accelerated degradation test model of the Wiener process with random effects and develops generalized confidence intervals and prediction intervals for the model parameters by constructing generalized pivotal quantities. Simulation studies and real data analysis demonstrate the effectiveness of the proposed method in reliability analysis.
Article
Engineering, Industrial
Zhijie Wang, Qingqing Zhai, Piao Chen
Summary: This paper introduces a novel random-effects Wiener process model to consider the heterogeneity in degradation among different units of products, using the GIG distribution to model the unit-specific degradation rate. By comparing with existing models on two real degradation datasets, the proposed model is shown to be effective for degradation modeling with heterogeneous rates.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Chemistry, Physical
Rameshwori Loukrakpam, Bruna Ferreira Gomes, Martin Prokop, Christof Bauer, Maximilian Kutter, Felix Baier, Rhett Kempe, Christina Roth
Summary: The commercialization of PEMFCs relies on accurate and efficient durability testing at the laboratory scale. This paper attempts to address the lack of durability testing in gas diffusion electrode half-cell setups under realistic operational conditions. The results of accelerated stress tests on different catalysts are compared and the influence of gas coverage and temperature changes on the working electrode is examined.
JOURNAL OF POWER SOURCES
(2023)
Article
Engineering, Industrial
Ao Zhang, Zhihua Wang, Rui Bao, Chengrui Liu, Qiong Wu, Shihao Cao
Summary: Nonlinear Wiener processes are widely used in degradation analysis in practical engineering. A novel analytical approximation method is proposed to improve the accuracy of failure time distribution approximation. Comprehensive simulation studies and a real application demonstrate the effectiveness and improved accuracy of the proposed method.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Chemistry, Multidisciplinary
Preetam Sharma, Lei Cheng, Douglas Aaron, Shirin Mehrazi, Jonathan Braaten, Nathan Craig, Christina Johnston, Matthew M. Mench
Summary: This study presents an in-depth analysis of heterogeneous aging patterns in membrane electrode assemblies (MEAs) under different stress test conditions, revealing distinct current distribution and catalyst growth changes. Despite differing Pt particle size growth, spatial current distributions show only minor variations in wet and dry Pt particle size growth tests. In contrast, the carbon corrosion test leads to substantial current gradients.
Article
Engineering, Electrical & Electronic
Yandong Hou, Yuhang Du, Yu Peng, Datong Liu
Summary: The article presents an improved method using random effects Wiener process (REWP) for conducting accelerated degradation tests (ADTs) on lithium-ion batteries. The results show that the REWP model performs better in assessing the reliability of lithium-ion batteries with long cycle life.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Industrial
Di Liu, Shaoping Wang
Summary: The study has improved the reliability estimation method based on evidential variable and Wiener process by considering measurement error and lifetime testing data. Through simulation studies and an actual engineering case, it is demonstrated that the proposed method can improve the accuracy of model parameter evaluation, degradation prediction, and reliability estimation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Multidisciplinary Sciences
Michael Owen-Bellini, Stephanie L. Moffitt, Archana Sinha, Ashley M. Maes, Joseph J. Meert, Todd Karin, Chris Takacs, Donald R. Jenket, James Y. Hartley, David C. Miller, Peter Hacke, Laura T. Schelhas
Summary: Novel methods have been developed for advancing reliability testing of photovoltaic modules and materials, with C-AST being one method that has reliably reproduced some field-failures. By validating the failure mechanisms induced in C-AST using appropriate materials characterization and modeling, confidence in the test protocol can be increased. This approach was demonstrated by applying it to a cracking failure of a specific polyamide-based backsheet material, showing that the conditions applied in C-AST are representative of field conditions.
SCIENTIFIC REPORTS
(2021)
Article
Construction & Building Technology
Shiyu Zhu, Xiaoping Ji, Huazhi Yuan, Hangle Li, Xinquan Xu
Summary: In order to achieve the optimal design and accurate prediction of the long-term skid resistance performance of asphalt pavement, models were developed to study the skid resistance and its evolution trend of different asphalt mixtures. The study included the preparation of different types of asphalt mixtures and the investigation of their degradation characteristics and influencing factors. Prediction models were constructed and validated for the macro-structure and micro-structure of asphalt pavement, and design standards and evaluation indexes were proposed for high-grade asphalt pavements under heavy traffic conditions. The results showed that dense graded asphalt mixes with a smaller oil-stone ratio had better skid resistance, and the type of gradation had less influence on skid resistance.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Energy & Fuels
Klaus Burlafinger, Sebastian Strohm, Christoph Joisten, Michael Woiton, Andrej Classen, Johannes Hepp, Thomas Heumueller, Christoph J. Brabec, Andreas Vetter
Summary: This study investigates the intrinsic photostability of thin-film solar cells, pointing out the importance of precise measurement and control of solar cell temperature in accelerated lifetime testing. The research findings suggest that degradation process under high illumination densities can be described by a stretched exponential law and the temperature kinetics of P3HT:PCBM follows Arrhenius governed. The velocity of light-induced degradation of short-circuit current was found to depend linearly on irradiance dose, making high-C ALT a valuable tool for swift screening of novel thin-film solar cells and materials.
PROGRESS IN PHOTOVOLTAICS
(2022)
Article
Engineering, Industrial
Fuqiang Sun, Fangyou Fu, Haitao Liao, Dan Xu
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Engineering, Multidisciplinary
Xiao-Yang Li, Wen-Bin Chen, Fang-Rong Li, Rui Kang
Summary: This paper proposes a reliability evaluation method based on uncertainty theory for limited and censored time-to-failure data. Through simulation studies and practical cases, the practicality and effectiveness of the method are demonstrated.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Engineering, Mechanical
Xiao-Yang Li, Zhao Tao, Ji-Peng Wu, Wei Zhang
Summary: The study focuses on the epistemic uncertainty of fatigue crack growth, proposing a novel method based on uncertainty theory to quantify such uncertainty in small samples. This approach aims to address the issues related to epistemic uncertainty in fatigue crack growth experiments.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Engineering, Industrial
Xiao-Yang Li, Wen-Bin Chen, Rui Kang
Summary: This paper develops a performance margin-based reliability analysis considering performance degradation caused by wear and multi-source uncertainties for an aircraft lock mechanism, based on reliability science principles. The numerical study conducted on an aircraft lock mechanism shows that the proposed method can provide guidance to the design and manufacturing processes to meet reliability requirements.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Xiao-Yang Li, Yue Liu, Yan-Hui Lin, Liang-Hua Xiao, Enrico Zio, Rui Kang
Summary: A hierarchical colored generalized stochastic Petri net is proposed in this study to evaluate the service reliability of a cloud data center. It is applied to an insurance company's cloud data center to find cost-effective strategies to support its operation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Automation & Control Systems
Li Yun, Jiang Kaige, Zeng Ting, Chen Wenbin, Li Xiaoyang, Li Deyong, Zhang Zhiqiang
Summary: This paper proposes a belief reliability modeling and analysis method considering multi-uncertainties and wear for planetary reducers, aiming to provide practical suggestions for the design and manufacturing phases. The method takes into account uncertainties such as manufacturing errors, operational and environmental conditions, and performance thresholds, establishing a belief reliability model based on performance margin degradation. The proposed method is shown to be effective through a case study and reliability sensitivity analysis of a planetary reducer.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2021)
Article
Engineering, Multidisciplinary
Wen-Bin Chen, Xiao-Yang Li, Fang-Rong Li, Rui Kang
Summary: This paper investigates the issue of uncertain right censoring in practical life testing and proposes a belief reliability evaluation method based on the belief reliability theory. By introducing uncertain measures and statistics, it is possible to handle epistemic uncertainties and obtain more accurate and stable results in small sample situations.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Engineering, Multidisciplinary
Fuqiang Sun, Hongxuan Guo, Ning Wang, Wei Zhang
Summary: This paper addresses the oversimplification issue in existing degradation modeling and RUL prediction by proposing a bivariate degradation modeling method based on BDM and a joint RUL distribution prediction method. The effectiveness and validity of the method are demonstrated through a real case study on a microwave device.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Engineering, Industrial
Fuqiang Sun, Hao Li, Yuanyuan Cheng, Haitao Liao
Summary: This paper presents a more general reliability model that considers competing failure modes in complex systems caused by degradation processes and random shocks. A nonlinear Wiener process model is used to characterize degradation behavior, and the impact of random shocks on degradation processes, as well as the impact of degradation processes on random shocks, is investigated. The time-varying copula method is utilized to characterize dependence among multiple failure processes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Wen-Bin Chen, Xiao-Yang Li, Rui Kang
Summary: A method of integrating multi-source ADT datasets for degradation analysis and reliability evaluations was developed, which effectively captures discrepancies and decreases uncertainties through constructing evaluation index system, computing relative qualities, describing degradation process and conducting statistical analysis, successfully applied in simulation study and practical case.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Xiao-Yang Li, Da-Yu Chen, Ji-Peng Wu, Rui Kang
Summary: This paper proposes a 3D modeling framework and a general ADT model to address the uncertainties in accelerated degradation testing. It also introduces a new parameter estimation method to predict degradation law and control uncertainties more effectively.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Zhe Liu, Xiaoyang Li, Rui Kang
Summary: In this paper, an uncertain differential equation based accelerated degradation model (UDEADM) is proposed, which considers the dynamic cumulative change process of performance in small space-time scale and explains the essence of nonlinear uncertainties in degradation trend. Unknown parameters are estimated using uncertain generalized moment estimations. Furthermore, reliability and lifetime are analyzed under the normal operating condition based on belief reliability theory. A simulation study and real data analysis are conducted to illustrate the effectiveness and advantages of the proposed methodology.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Proceedings Paper
Automation & Control Systems
Shi-Shun Chen, Xiao-Yang Li, Bo-Yuan Li, Jing Li
Summary: This paper establishes a reliability model for ion thrusters considering performance degradation and multi-source uncertainties, based on principles of reliability science. A case study on a xenon ion thruster is conducted, indicating that the proposed model can quantify reliability effectively and provide design guidance.
2021 5TH INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS 2021)
(2021)
Article
Automation & Control Systems
Sun Fuqiang, Guo Hongxuan, Liu Jingcheng
Summary: A flexible accelerated degradation testing model was used to analyze the degradation process of Fiber Optic Gyroscope (FOG), considering the dynamic dependency structure between two marginal degradation processes using time-varying copulas. Statistical inference was implemented using an inference function for the margins approach, showing the proposed method's power in modeling the joint distribution with various margins.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2021)
Article
Computer Science, Information Systems
Yun Li, Bang-An Tong, Wen-Bin Chen, Xiao-Yang Li, Jia-Bo Zhang, Guo-Xin Wang, Ting Zeng
