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Dr. Zhiqiang Cai
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16Years (2011-Present)
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Representative Publications
View All Publications4 March 2019 in IEEE Transactions on Reliability
Journal Article
SSSHUBIN SI
SHUBIN SIMLMingli Liu
Mingli LiuZJZhongyu Jiang
Zhongyu JiangTJTongdan Jin
Tongdan JinZCZhiqiang Cai
Zhiqiang CaiImportance measure can be used to identify the most vulnerable components with respect to system functionality or failure. Traditional importance measures may not be effective to evaluate the contribution of an individual component if its reliability value does not fall in the full range between 0 and 1. Based on the cost–reliability relation, this paper proposes a generalized Birnbaum importance measure (GBIM) to quantify the contribution of individual components to system reliability improvement by considering reliability range, manufacturing complexity, and technology feasibility. Since GBIM possesses several unique features in terms of guiding system reliability optimization, in this paper, we further develop a GBIM-based genetic algorithm to solve a type of optimal reliability allocation problem. The numerical studies show that both the computational efficiency and the near global optimality based on GBIM outperforms the methods using the traditional importance measures.
7 November 2022 in Reliability Engineering & System Safety
Journal Article
Journal Article
With the development of machine learning, data-driven mechanical fault diagnosis methods have been widely used in the field of PHM. Due to the limitation of the amount of fault data, it is a difficult problem for fault diagnosis to solve the problem of unbalanced data sets. Under unbalanced data sets, faults with little historical data are always difficult to diagnose and lead to economic losses. In order to improve the prediction accuracy under unbalanced data sets, this paper proposes MeanRadius-SMOTE based on the traditional SMOTE oversampling algorithm, which effectively avoids the generation of useless samples and noise samples. This paper validates the effectiveness of the algorithm on three linear unbalanced data sets and four step unbalanced data sets. Experimental results show that MeanRadius-SMOTE outperforms SMOTE and LR-SMOTE in various evaluation indicators, as well as has better robustness against different imbalance rates. In addition, MeanRadius-SMOTE can take into account the prediction accuracy of the overall and minority class, which is of great significance for engineering applications.
26 July 2024 in Reliability Engineering & System Safety
Journal Article
WWWei Wang
Wei WangHSHonghao Song
Honghao Song
SSSHUBIN SI
SHUBIN SIWLWenhao Lu
Wenhao Lu
ZCZhiqiang Cai
Zhiqiang Cai1 October 2023 in Reliability Engineering & System Safety
Journal Article
6 April 2023 in Reliability Engineering & System Safety
Journal Article
ZYZhenggeng Ye
Zhenggeng YeZCZhiqiang Cai
Zhiqiang CaiHYHui Yang
Hui YangSSSHUBIN SI
SHUBIN SIFZFuli Zhou
Fuli Zhou
About Me
Zhiqiang Cai received a B.S. degree in Aircraft Design and Engineering, an M.S. degree in Management Science and Engineering, and a Ph.D. in Management Science and Engineering from Northwestern Polytechnical University (NPU), China, in 2003, 2006, and 2010, respectively. Now, he is the Chair of the Department of Industrial Engineering, School of Mechanical Engineering, NPU, and the Outstanding Young Scholar of Shaanxi Province, China. Dr. Cai’s research interests include reliability modelling, importance measures, and reliability optimization for complex systems. He has been the principal investigator for several key projects like National Nature Science Foundation of China, Foreign Experts Project of Ministry of Science and Technology, Aeronautical Science Foundation of China, Key R&D Program of Shaanxi Province, and Basic Research Project of Natural Science of Shaanxi Province. In the last 5 years, he has published more than 40 papers in top international journals like IEEE Transactions on Reliability, IEEE Transactions on Industrial Informatics, Reliability Engineering and System Safety, and Applied Mathematics and Computation. He has been granted eight Chinese invention patents and was awarded the Best Paper of 2022 IEEE Global Reliability and Prognostics and Health Management Conference and the Outstanding Paper of 2019 IEEE International Conference on Industrial Engineering and Engineering Management.