于明月，教授。邮箱：20140023@sau.edu.cn

详情介绍

个人简介

于明月，博士，教授，硕士生导师，南京航空航天大学博士毕业。近年来主持国家自然科学基金，航空科学基金，辽宁省自然科学基金，辽宁省教育厅系列项目，基础军工科研院所稳定支持等科研项目；与沈阳飞机设计研究所，中国航发沈阳发动机研究所等均有较好的项目合作。发表SCI、EI检索期刊论文60余篇。指导研究生获批辽宁省优秀硕士学位论文、中国航空学会优秀硕士学位论文奖、辽宁省优秀毕业生等荣誉称号；获沈阳航空航天大学优秀科技工作者、研究生良师益友等荣誉称号。

研究方向

航空发动机等大型旋转机械故障识别与预测

微弱复合故障分离及故障特征提取

微弱故障检测

联系方式

办公室：航空产业大楼A1-308

联系邮箱：20140023@sau.edu.cn

联系电话：18040034636

主要科研项目（主持）

[1] 国家自然科学基金:旋转机械机匣振动信号微弱复合故障分离与特征提取研究

[2] 航空科学基金: 航空柱塞泵故障模式分析与建模仿真技术研究

[3] 航空科学基金: 设备内部轴承微弱振动特征增强及提取技术研究

[4] 航空科学基金: 基于变尺度共振的航空旋转部件故障诊断技术研究

[5] 辽宁省自然基金: 基于信号分离算法的航空发动机故障特征分离与提取研究

[6] 辽宁省自然基金: 基于信号分解与变尺度共振的大型旋转机械故障识别研究

[7] 辽宁省教育厅项目：航空发动机故障识别与预测中的信号自适应分解问题研究

[8] 辽宁省教育厅项目：基于循环统计量的航空发动机复合故障诊断研究

[9] 基础军工科研院所稳定支持项目1期：基于机匣振动信号的发动机微弱、复合故障特征提取及辨识研究

[10] 基础军工科研院所稳定支持项目2期：调制、耦合等典型振动信号特征产生机理及分析方法研究

主要论著(第一/通讯作者)

[1] Combined failure identification of intermediate bearing in aeroengine based on wavelet transform, second-order difference, and 1D-LBP [J]. Structural Health Monitoring-An International Journal, 2024, Early Access (SCI).

[2] Recognition and location of rotor-stator rub-impact failure of aircraft engine with periodicity feature of vibration signals [J]. Journal of Vibration and Control, 2024, Early Access (SCI).

[3] A feature extraction method of rub-impact based on adaptive stochastic resonance and Hjorth parameter [J]. Review of Scientific Instruments, 2024, 95(4): 045114 (SCI).

[4] A novel rotor-stator rub-impact fault and locations recognition method [J]. Proceedings of the Institution of Mechanical Part C-Journal of Mechanical Engineering Science, 2024, 238(16): 8037-8052 (SCI).

[5] Adaptive local binarization feature mode decomposition and its application in combined failure identification of rolling bearings [J]. Measurement Science and Technology, 2024, 35(10), 106134 (SCI).

[6] Compound faults feature extraction of inter-shaft bearing based on vibration signal of whole aero-engine[J]. Journal of Vibration and Control, 2023, 29(1-2), 51-64 (SCI).

[7] Identification of compound faults of rolling bearing grounded on 1D-LBP and first-order difference of vibration signal [J]. Nonlinear Dynamics, 2023, 111(22): 21131-21151 (SCI).

[8] A novel method to identify the multiple faults of intermediate bearing based on multiscale Lempel-Ziv complexity enhancement [J]. Proceedings of the Institution of Mechanical Part G-Journal of Aerospace Engineering, 2023, 237(11): 2468-2479 (SCI).

[9] A novel self-adaptive option method for sensitive failure component signals and its application in rolling bearings [J]. Journal of Vibration and Control, 2023, 30(3-4):753-767 (SCI).

[10] Identification of rotor-stator rub-impact faults based on dual complexity parameters [J]. Journal of Vibration and Control, 2023, 29(19-20): 4526-4540 (SCI).

[11] Rolling bearing faults identification based on multiscale singular value [J]. Advanced Engineering Informatics, 2023, 57: 102040 (SCI).

[12] Identifying rotor-stator rubbing positions based on intrinsic time scale decomposition-hjorth-cepstrum [J]. Journal of Vibration and Control, 2023, 29(2-3):582-596 (SCI).

[13] Feature extraction of rotor-stator rubbing faults based on harmonic fusion vector bispectrum, ITD and Hjorth parameters [J]. Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering, 2023,3:600-613 (SCI).

[14] Feature extraction of rolling bearing multiple faults based on correlation coefficient and Hjorth parameter[J]. ISA Transactions, 2022, 129(PB): 442-458 (SCI).

[15] Intershaft bearing compound faults identification by using VMD and a new index: the activity parameter in Hjorth parameters [J]. Nonlinear Dynamics, 2022, 110(03): 2657-2672 (SCI).

[16] Feature extraction of mixed faults of intershaft bearing based on homologous information and Hjorth parameters [J]. Measurement, 2022, 196,111253 (SCI).

[17] A novel intrinsic time-scale decomposition-graph signal processing-based characteristic extraction method for rotor-stator rubbing of aeroengine [J]. Journal of Vibration and Control, 2022, 28(7-8):902-914 (SCI).

[18] Research on compound faults identification of aeroengine inter-shaft bearing based on CCF-Complexity-VMD-SVD [J]. Structural Health Monitoring-An International Journal, 2023, 22(4): 2688-2707 (SCI).

[19] A novel ITD-GSP-based characteristic extraction method for compound faults of rolling bearing [J]. Measurement, 2020, 159: 107736 (SCI).

[20] Fault diagnosis and location identification of rotor-stator rub-impact based on Hjorth parameters [J]. Engineering Failure Analysis, 2022, 138, 106299 (SCI).