主要研究方向：

(1)铁路装备状态监测与智能运维

(2)信号处理与大数据分析

(3)铁路系统动力学

代表性项目情况：

1) 2021.01-2023.12 国家自然科学基金青年基金 批准号：52005416 (主持)
2) 2020.01-2022.12 牵引动力国家重点实验室主任基金 批准号：2020TPL-T 11 (主持)
3) 2020.06-2021.06 浙江省城市轨道交通智能运维技术重点实验室开放基金 批准号：ZSDRTKF2020002 (主持)
4) 2021.01-2024.12 国家自然科学基金面上项目 批准号：52072317 (参与，排名第2)
5) 2020.01-2022.12 四川省应用基础研究项目（重大前沿）批准号：2020YJ0213 (参与，排名第2)

代表性论文如下：

[1]      Shiqian Chen, Kaiyun Wang, Chao Chang, et al. A two-level adaptive chirp mode decomposition method for the railway wheel flat detection under variable-speed conditions[J]. Journal of Sound and Vibration, 2021, 498: 115963.  (SCI)

[2]      Shiqian Chen, Kaiyun Wang, Zhike Peng, et al. Generalized dispersive mode decomposition: Algorithm and applications[J]. Journal of Sound and Vibration, 2021, 492: 115800.  (SCI)

[3]      Shiqian Chen, Minggang Du, Zhike Peng, et al. Fault diagnosis of planetary gearbox under variable-speed conditions using an improved adaptive chirp mode decomposition[J]. Journal of Sound and Vibration, 2020, 468: 115065. (SCI)

[4]      Shiqian Chen, Yang Yang, Zhike Peng, et al. Detection of Rub-Impact Fault for Rotor-Stator Systems: A Novel Method Based on Adaptive Chirp Mode Decomposition[J]. Journal of Sound and Vibration, 2019, 440: 83-99. (SCI)

[5]      Shiqian Chen, Zhike Peng, Ming Liang, et al. High-Accuracy Fault Feature Extraction for Rolling Bearings under Time-Varying Speed Conditions Using an Iterative Envelope-Tracking Filter[J]. Journal of Sound and Vibration, 2019, 448: 211-229. (SCI)

[6]       Shiqian Chen, Xingjian Dong, Zhike Peng, et al. Nonlinear Chirp Mode Decomposition: A Variational Method[J]. IEEE Transactions on Signal Processing, 2017, 65(22):6024-6037. (SCI)

[7]      Shiqian Chen, Xingjian Dong, Yuyong Xiong, et al. Nonstationary Signal Denoising Using an Envelope-Tracking Filter[J]. IEEE-ASME Transactions on Mechatronics, 2018, 23(4): 2004-2015. (SCI)

[8]      Shiqian Chen, Xingjian Dong, Yang Yang, et al. Chirplet Path Fusion for the Analysis of Time-Varying Frequency-Modulated Signals[J]. IEEE Transactions on Industrial Electronics, 2017, 64(2): 1370-1380. (SCI)

[9]      Shiqian Chen, Yang Yang, Zhike Peng, et al. Adaptive chirp mode pursuit: Algorithm and applications[J]. Mechanical Systems and Signal Processing, 2019, 116: 566-584. (SCI)

[10]  Shiqian Chen, Zhike Peng, Yang Yang, et al. Intrinsic Chirp Component Decomposition by Using Fourier Series Representation[J]. Signal Processing, 2017, 137:319-327. (SCI)

[11]  Shiqian Chen, Yang Yang, Kexiang Wei, et al. Time-Varying Frequency-Modulated Component Extraction Based on Parameterized Demodulation and Singular Value Decomposition[J]. IEEE Transactions on Instrumentation and Measurement, 2016, 65(2):276-285. (SCI)

[12]  Shiqian Chen, Xingjian Dong, Guanpei Xing, et al. Warped Variational Mode Decomposition With Application to Vibration Signals of Varying-Speed Rotating Machineries[J]. IEEE Transactions on Instrumentation and Measurement, 2019, 68(8): 2755-2767. (SCI)

[13]  Shiqian Chen, Xingjian Dong, Guanpei Xing, et al. Separation of Overlapped Non-Stationary Signals by Ridge Path Regrouping and Intrinsic Chirp Component Decomposition[J]. IEEE Sensors Journal, 2017, 17(18):5994-6005. (SCI)

[14]  Xingjian Dong, Shiqian Chen (通讯作者), Guanpei Xing, et al. Doppler Frequency Estimation by Parameterized Time-Frequency Transform and Phase Compensation Technique[J]. IEEE Sensors Journal, 2018, 18(9):3734-3744. (SCI)

[15]  Yuyong Xiong, Shiqian Chen, Xingjian Dong, et al. Accurate Measurement in Doppler Radar Vital Sign Detection Based on Parameterized Demodulation[J]. IEEE Transactions on Microwave Theory and Techniques, 2017, 65(11): 4483-4492. (SCI)

[16]  Yuyong Xiong, Shiqian Chen, Guanpei Xing, et al. High-precision frequency estimation for FMCW radar applications based on parameterized de-alternating and modified ICCD[J]. Measurement Science and Technology, 2018, 29 (7): 075010. (SCI)

[17]  Yuyong Xiong, Shiqian Chen, Guanpei Xing, et al. Static clutter elimination for FMCW radar displacement measurement based on phasor offset compensation[J]. Electronics Letters, 2017, 53 (22):1491 - 1493. (SCI) 

[18]  Sha Wei, Shiqian Chen, Zhike Peng, et al. Modal identification of multi-degree-of-freedom structures based on intrinsic chirp component decomposition method[J]. Applied Mathematics and Mechanics, 2019, 40(12): 1741-1758. (SCI)

[19]  Sha Wei, Shiqian Chen, Xingjian Dong, et al. Parametric identification of time-varying systems from free vibration using intrinsic chirp component decomposition[J]. Acta Mechanica Sinica, 2020, 36(1): 188-205. (SCI)

[20]  Peng Zhou, Xingjian Dong, Shiqian Chen, et al. Parameterized model based Short-time chirp component decomposition[J]. Signal Processing, 2018, 145: 146-154. (SCI)

[21]  Zhen Liu, Qingbo He, Shiqian Chen, et al. Frequency-Domain Intrinsic Component Decomposition for Multimodal Signals with Nonlinear Group Delays[J]. Signal Processing, 2019, 154: 57-63. (SCI)

[22]  Peng Zhou, Yang Yang, Shiqian Chen, et al. Parameterized Model Based Blind Intrinsic Chirp Source Separation[J]. Digital Signal Processing, 2018, 83: 73-82. (SCI)

[23]  Peng Zhou, Minggang Du, Shiqian Chen, et al. Study on intra-wave frequency modulation phenomenon in detection of rub-impact fault[J]. Mechanical Systems and Signal Processing, 2019, 122: 342-363. (SCI)

[24]  Zhen Liu, Qingbo He, Shiqian Chen, et al. Time-varying motion filtering for vision-based non-stationary vibration measurement[J]. IEEE Transactions on Instrumentation and Measurement, 2019, 69(6): 3907-3916. (SCI)

[25]  Peng Zhou, Zhike Peng, Shiqian Chen, et al. Non-stationary signal analysis based on general parameterized time–frequency transform and its application in the feature extraction of a rotary machine[J]. Frontiers of Mechanical Engineering, 2018, 13(2): 292-300. (SCI)

[26]  Guowei Tu, Xingjian Dong, Shiqian Chen, et al. Iterative nonlinear chirp mode decomposition: A Hilbert-Huang transform-like method in capturing intra-wave modulations of nonlinear responses[J]. Journal of Sound and Vibration, 2020, 485: 115571. (SCI)

[27]  陈是扦,彭志科,周鹏.信号分解及其在机械故障诊断中的应用研究综述[J].机械工程学报,2020,56(17):91-107. (EI)

[28]  陈是扦,彭志科,邢冠培. 基于参数化解调的旋转目标微多普勒频率提取方法. 上海航天,2018(05):39-44.

[29]   陈是扦,刁燕,罗华,李宁波,钟悦.机器人工作空间边界点提取算法研究与改进[J].机械传动,2014,38(11):49-53.

[30]  陈是扦,周光伟,韩广帅,张润峰.基于直线逼近的等压力角凸轮设计与运动仿真[J].组合机床与自动化加工技术,2014(01):46-48.