Search Results - "Suo, Mingliang"

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  1. 1

    Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision by Suo, Mingliang, Cheng, Yujie, Zhuang, Chunqing, Ding, Yu, Lu, Chen, Tao, Laifa

    Published in Neural computing & applications (01-12-2020)
    “…Weight assignment of attribute is considered as a key part of multiple attribute decision making (MADM), and this is also applicable to labeled multiple…”
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    Journal Article
  2. 2

    Sampled-data mixed H ∞ and passive control for attitude stabilization and vibration suppression of flexible spacecrafts with input delay by Zhu, Baolong, Zhang, Zhiping, Suo, Mingliang, Chen, Ying, Li, Shunli

    Published in Journal of vibration and control (01-11-2018)
    “…This paper deals with the problem of mixed H ∞ and passive control for flexible spacecrafts subject to nonuniform sampling and time-varying delay in the input…”
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    Journal Article
  3. 3

    State-of-Health Assessment for Aero-Engine Based on Density-Distance Clustering and Fuzzy Bayesian Risk by Ma, Ning, Yang, Fan, Tao, Laifa, Suo, Mingliang

    Published in IEEE access (2021)
    “…State-of-health (SOH) assessment for aero-engine can effectively reduce maintenance cost and operational risk, and is also a significant part of the…”
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    Journal Article
  4. 4

    State-of-Health Prediction for Reaction Wheel of On-Orbit Satellite Based on Fourier Broad Learning System by Zhang, Xingliu, Wang, Zili, Ma, Jian, Li, Shangyu, Suo, Mingliang

    Published in IEEE access (2021)
    “…The state-of-health (SoH) of the reaction wheel (RW) is a key indicator of the satellite's ability to function properly and complete its mission successfully…”
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    Journal Article
  5. 5

    Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood ζ-Decision-Theoretic Rough Set by Tao, Laifa, Wang, Chao, Jia, Yuan, Zhou, Ruzhi, Zhang, Tong, Chen, Yiling, Lu, Chen, Suo, Mingliang

    Published in Mathematics (Basel) (01-10-2022)
    “…Due to the increasing complexity of the entire satellite system and the deteriorating orbital environment, multiple independent single faults may occur…”
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    Journal Article
  6. 6

    Associated Fault Diagnosis of Power Supply Systems Based on Graph Matching: A Knowledge and Data Fusion Approach by Tao, Laifa, Liu, Haifei, Zhang, Jiqing, Su, Xuanyuan, Li, Shangyu, Hao, Jie, Lu, Chen, Suo, Mingliang, Wang, Chao

    Published in Mathematics (Basel) (01-11-2022)
    “…With the rapid development of more-electric and all-electric aircraft, the role of power supply systems in aircraft is becoming increasingly prominent…”
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    Journal Article
  7. 7

    Degradation dynamics cognition and prediction of Li-ion battery: An integrated methodology for alleviating range anxiety by Tao, Laifa, Zhang, Tong, Hao, Jie, Wang, Xiaolin, Lu, Chen, Suo, Mingliang, Ding, Yu

    Published in IEEE access (01-01-2020)
    “…We report an integrated methodology (FMC-XGBoost) that mainly consists of a five-state nonhomogeneous Markov chain model (FMC) and XGBoost model. Unlike those…”
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    Journal Article
  8. 8

    Fault diagnosis of satellite power system using variable precision fuzzy neighborhood rough set by Mingliang Suo, Monan Zhang, Ding Zhou, Baolong Zhu, Shunli Li

    Published in 2017 36th Chinese Control Conference (CCC) (01-07-2017)
    “…Data-driven fault diagnosis, known to be simple and convenient, is more suitable for diagnosing the complicated systems of satellite. Nevertheless, there are…”
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    Conference Proceeding
  9. 9

    Sampled-data H∞ control for attitude stabilization and vibration suppression of flexible spacecrafts by Baolong Zhu, Zhiping Zhang, Mingliang Suo, Zhenhua Yu, Shunli Li

    Published in 2017 36th Chinese Control Conference (CCC) (01-07-2017)
    “…This paper develops a sampled-data H ∞ control strategy for attitude stabilization and vibration suppression of flexible spacecrafts. After introducing an…”
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    Conference Proceeding
  10. 10

    An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model by Su, Xuanyuan, Liu, Hongmei, Tao, Laifa, Lu, Chen, Suo, Mingliang

    Published in Computers & industrial engineering (01-11-2021)
    “…•Pre-extraction mechanism is put forward to perform the feature construction.•Adaptive transformer is proposed for the complete degradation modeling.•An…”
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    Journal Article
  11. 11

    Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach by Ding, Yu, Ma, Liang, Ma, Jian, Suo, Mingliang, Tao, Laifa, Cheng, Yujie, Lu, Chen

    Published in Advanced engineering informatics (01-10-2019)
    “…Fault diagnosis methods for rotating machinery have always been a hot research topic, and artificial intelligence-based approaches have attracted increasing…”
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    Journal Article
  12. 12

    Real-time hierarchical risk assessment for UAVs based on recurrent fusion autoencoder and dynamic FCE: A hybrid framework by Su, Xuanyuan, Tao, Laifa, Liu, Hongmei, Wang, Lizhi, Suo, Mingliang

    Published in Applied soft computing (01-07-2021)
    “…Effective risk assessment is critical for unmanned aerial vehicles (UAVs) to ensure their safety and reliability. Up to now, the researchers have proposed…”
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    Journal Article
  13. 13

    Single-parameter decision-theoretic rough set by Suo, Mingliang, Tao, Laifa, Zhu, Baolong, Miao, Xuewen, Liang, Zhichao, Ding, Yu, Zhang, Xingliu, Zhang, Tong

    Published in Information sciences (01-10-2020)
    “…Decision-theoretic rough sets (DTRSs), which can be considered as generalized rough set models produced by Bayesian risk minimum and three-way decisions (3WD)…”
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    Journal Article
  14. 14

    Hierarchical cognize framework for the multi-fault diagnosis of the interconnected system based on domain knowledge and data fusion by Zhang, Tong, Tao, Laifa, Wang, Xiaoding, Zhang, Cong, Li, Shangyu, Hao, Jie, Lu, Chen, Suo, Mingliang

    Published in Expert systems with applications (01-05-2022)
    “…•A novel 3-level multi-fault cognitive framework is proposed.•Three mechanisms of knowledge-data fusion in diagnosis are summarized.•The complex mappings among…”
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    Journal Article
  15. 15

    Data-driven fault diagnosis of satellite power system using fuzzy Bayes risk and SVM by Suo, Mingliang, Zhu, Baolong, An, Ruoming, Sun, Huimin, Xu, Shengzhong, Yu, Zhenhua

    Published in Aerospace science and technology (01-01-2019)
    “…Data-driven fault diagnosis is more suitable than model-based methods for diagnosing the complicated spacecraft systems, e.g., the satellite power system,…”
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    Journal Article
  16. 16

    Fault diagnosis of satellite power system based on unsupervised knowledge acquisition and decision-making by Suo, Mingliang, Xing, Jingyi, Ragulskis, Minvydas, Dong, Yanchen, Zhang, Yonglan, Lu, Chen

    Published in Advanced engineering informatics (01-10-2024)
    “…Fault diagnosis (FD) is an important foundation for the maintenance of complex aerospace systems, such as satellite power systems, in which the attribute…”
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    Journal Article
  17. 17

    Grid-clustered rough set model for self-learning and fast reduction by Suo, Mingliang, An, Ruoming, Zhou, Ding, Li, Shunli

    Published in Pattern recognition letters (15-04-2018)
    “…•A grid cluster algorithm is presented along with low time complexity.•The cluster algorithm could select cluster centers automatically.•A novel rough set…”
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    Journal Article
  18. 18

    Soft decision-making based on decision-theoretic rough set and Takagi-Sugeno fuzzy model with application to the autonomous fault diagnosis of satellite power system by Suo, Mingliang, Tao, Laifa, Zhu, Baolong, Chen, Yu, Lu, Chen, Ding, Yu

    Published in Aerospace science and technology (01-11-2020)
    “…The satellite power system is one of the core systems to ensure the normal on-orbit operation of satellite, and is also a representative of typical complex…”
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    Journal Article
  19. 19

    Multi-signal fusion diagnosis of gearbox based on minimum Bayesian risk reclassification and adaptive weighting by Tao, Laifa, Sun, Lulu, Wu, Yundi, Lu, Chen, Ma, Jian, Cheng, Yujie, Suo, Mingliang

    “…•A fault diagnosis method considering both vibration and torque signals is designed.•A reclassification model employing optimal PNN and Bayes risk minimum is…”
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    Journal Article
  20. 20

    Fuzzy Bayes risk based on Mahalanobis distance and Gaussian kernel for weight assignment in labeled multiple attribute decision making by Suo, Mingliang, Zhu, Baolong, Zhang, Yanquan, An, Ruoming, Li, Shunli

    Published in Knowledge-based systems (15-07-2018)
    “…Attribute weight assignment plays a key role in multiple attribute decision making (MADM). For the issue of labeled multiple attribute decision making (LMADM),…”
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    Journal Article