论文：
[1] Huijie Ma, Shunming Li, et al. Structured sparsity assisted online convolution sparse coding and its application on weak signature detection[J]. Chinese Journal of Aeronautics, 2022. (中科院1 区，Top)
[2] Huijie Ma, Shunming Li, Jiantao Lu, et al. Impulsive Wavelet Based Probability Sparse Coding Model for Bearing Fault Diagnosis. Measurement, 2022. (中科院2 区)
[3] Huijie Ma, Shunming Li, et al. A Fault Diagnosis Approach for Rolling Bearing Based on Convolutional Neural Network and Nuisance Attribute Projection under Various Speed Conditions[J]. Applied Sciences, 2019. (中科院3 区)
[4] Huijie Ma, Shunming Li, et al. Weak Signal Detection Based on Combination of Sparse Representation and Singular Value Decomposition[J]. Applied Sciences, 2022. (中科院3 区)
[5] Huijie Ma, Shunming Li, et al. Neural network with nuisance attribute projection a novel method for bearing fault diagnosis under variable speed[J]. Measurement Science and Technology, 2022. (中科院3 区)
[6] Ju-Bo Li, Huijie Ma, et al. An approach to realize the networked closed-loop manufacturing of spiral bevel gears[J]. The International Journal of Advanced Manufacturing Technology, 2017. (中科院3 区)
[7] Huijie Ma, Shunming Li, et al. Fault Feature Extraction of Rolling Bearing Based on Improved VMD-SVD Joint Denoising and Synchrosqueezing Wavelet Transform[C]. PHM-2020 Jinan, 2020. (SCI收录)(会议最佳论文)
[8] 马会杰; 黄志强; 邓四二; 李开元; 鞠飞 ; 滚珠丝杠副故障振动信号分析及智能诊断方法综述[J], 计算机测量与控制, 2025, 33(1): 1-8.
[9] Xinwei Liu; Zongzhen Zhang; Zhuoli Li; Jinrui Wang; Youfeng Zhu; Huijie Ma. Advancementsin Bearing Health Monitoring and Remaining Useful Life Prediction: Techniques, Challenges, and Future Directions[J]. Measurement Science and Technology, 2025, 36(3): 032003.
专利：
陆建涛，马会杰，李舜酩，等.一种基于阶次分析和稀疏编码的旋转机械微弱故障信号提取方法. 发明专利, 授权专利号: ZL202010644002.X
马会杰，李开元，袁长华，等. 滚珠丝杠副外装S形内循环反向器组件及安装方法. 发明专利, 授权专利号: ZL 2024 1 1037419.4
