师资队伍

茅婷

职称:助教

电子邮箱:26A0703178@cjlu.edu.cn

办公电话:

毕业院校:南京理工大学

  • 设备故障诊断,深度学习,强化学习,迁移学习,马田系统。


  • 主持:

    [1]国家建设高水平大学公派研究生项目(202406840086),国家留学基金委

    [2]多维应用场景下基于深度迁移学习的机械设备故障诊断(KYCX23_0532),江苏省研究生科研与实践创新计划

    参与:

    [1]新制造强国建设背景下的标准引领质量提升实现路径研究(18BJY033),国家社会科学基金项目

    [2]产品质量信用信息整合评价技术标准研究(2018YFF0213105),国家重点研发计划课题


  • [1] Mao T, Ma X, Cheng L, et al. Class-imbalanced flow meter fault diagnosis under small samples using reinforcement learning based Mahalanobis Taguchi system[J]. Measurement, 2026, 257.

    [2] Mao T, Chen W, Fu L, et al. Fault diagnosis of complex hydraulic system based on fast Mahalanobis classification system with high-dimensional imbalanced data[J]. Measurement, 2023.

    [3] Mao T, Zhou L, Zhang Y, et al. Classification algorithm for class imbalanced data based on optimized Mahalanobis-Taguchi system[J]. Applied Intelligence, 2022, 52(9):10674-10691.

    [4] Mao T, Yu L, Zhang Y, et al. Modified Mahalanobis-Taguchi System based on proper orthogonal decomposition for high-dimensional-small-sample-size data classification[J]. Mathematical Biosciences and Engineering, 2021, 18(1):426-444.

    [5] Mao T, Cheng L. Truck APS Fault Detection Based on Modified Mahalanobis-Taguchi System[C]//2023 4th Information Communication Technologies Conference (ICTC). IEEE, 2023: 379-383.

    [6] 茅婷,程龙生,张月义,等.基于RLMTS的小样本风力发电机齿轮箱故障检测[J].电力系统保护与控制, 2025, 53(10): 117-129.

    [7] 茅婷,张月义,孙叶芳,等.基于MMTS-AdaBoost的高维结直肠癌癌前病变分类[J].计算机应用与软件, 2024, 41(1):291-296.

    [8] Chen W, Zhou H, Mao T, Cheng L, Xia M. A Novel state-of-charge estimation method for lithium-ion battery using GDAformer and online correction[J]. IEEE Transactions on Industrial Informatics, 2024, 20(11):13473-13485.

    [9] Wang, P, Cheng, L, Gao, Y, Mao T. A novel parallel global-local feature enhancement network for remaining useful life prediction of lithium-ion batteries[J]. Journal of Energy Storage, 2025, 118291.

    [10] Gao Y, Cheng L, Chen W, Mao T, Zhang P, Zhou H, Li B. State of charge estimation of battery for electric vehicle based on VMD-Basisformer model[J]. Quality and Reliability Engineering International, 2026, 42(4): 1473-1485

    [11] Fu L, Mao T, Zhou H, Chen W, Cheng L. Temporal-physics aware dynamic network for remaining useful life prediction of rolling bearings[J]. Measurement Science and Technology, 2026.

    [12] Yao Q, Cheng L, Chen W, Mao T. Some Generalized Entropy Ergodic Theorems for Nonhomogeneous Hidden Markov Models[J]. Mathematics, 2024,12(4):605.

    [13] Yao Q, Cheng L, Chen W, Mao T, Chang Z. The generalized entropy ergodic theorem with two types of convergence for M-th-order nonhomogeneous hidden Markov models[J]. Journal of Theoretical Probability, 2024, 38(1):25.

    [14] 张月义,虞岚婷,茅婷,宋明顺.“标准+认证”视角下制造业区域品牌建设企业参与意愿及决策行为研究[J].管理学报,2020,17(2):290-297.

    [15] 孙叶芳,张月义,茅婷,等.一种基于改进NISD的偏二叉树马田系统的数据多分类算法[J].统计与决策,2022,38(16):22-26.