近5年，共发表与申报项目相关的SCI论文5篇，中文EI论文3篇，授权发明专利4件

SCI论文  

1、Ning J, Fang M, Wang D, Chen C and Ouyang H.Improved Interval Prediction of Small-Amplitude Hunting of High-Speed Trains[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72:1-11.                                                                                    

2、Wang D, Ning J*, Zhao F, Li Y and Chen C.A Small-amplitude Hunting Motion Recognition Method Based onTransfer Learning[J]. Journal of Vibration and Control，2022:10775463221117056.

3、Ning J, Fang M, Wei R, Chen C and Li Y.Rapid Multi-Sensor Feature Fusion Based on Non-Stationary Kernel JADE for the Small-Amplitude Hunting Monitoring of High-Speed Trains[J]. Sensors ,2020, 20(12), 3457-3473.       

4、Ye Y, Ning J*.Small-amplitude Hunting Diagnosis Method of High-speed Trains Based on Bogie Frame’s Lateral-longitudinal-vertical Data Fusion, Independent Mode Function Reconstruction and Linear Local Tangent Space Alignment, Proceedings of the Institution of Mechanical Engineers[J], Part F: Journal of Rail and Rapid Transit,2019, 233(10) 1050-1067.

5、Ning J, Cui W and Chong C.Feature Recognition of Small Amplitude Hunting Signals Based on The MPE-LTSA in High-speed Trains[J]. Measurement, 2019, 131: 452-460.                                                 

EI论文                                                        

1、赵建岗,宁静*,宁云志,陈春俊,李艳萍. 基于多尺度排列熵和线性局部切空间排列的机械故障诊断特征提取[J],振动与冲击,2021,40(13):136-145

2、宁静,基于S变换的高速列车小幅蛇行识别方法[J],中国机械工程, 2019,30(09):1097-1102+1110                                                   

3、叶运广,宁静*,种传杰,等.高速列车转向架蛇行失稳的MEEMD-LSSVM预测方法[J].铁道学报. 2018, 40(1):38-43  

专利

1、宁静,方明宽,王铎颖,王敏,李艳萍,张兵,陈春俊. 一种高速列车小幅蛇行演变趋势的区间预测方法 [P]. 四川省：ZL202110378710.8, 2022-06-21. 

2、王敏,宁静,王铎颖,刘鑫,李艳萍,陈春俊. 基于HHT能量和最大李雅普诺夫指数的蛇行分类 [P]. 四川省：ZL202210946734.3, 2022-11-01. 

3、杨宜坤,宁静,宁云志,吴国超,李艳萍,陈春俊. 一种基于轮对横移量的蛇行状态识别方法 [P]. 四川省：ZL202210807411.6, 2022-09-13. 

4、宁静,冉伟,陈春俊,李艳萍,张兵,方明宽。一种高速列车小幅蛇行运行特征的快速提取方法[P]. 四川省：ZL201910336833.8, 2021-03-16.