柯赟

柯赟，男，1994年10月出生，湖南省常德市人，2022年6月毕业于哈尔滨工程大学动力工程及工程热物理专业，获工学博士学位。主要研究方向包括新型燃料发动机故障诊断与健康管理、基于数字孪生的发动机寿命预测、智能机舱关键技术及系统开发、智能能效管理关键技术及系统开发等。承担和参与国家自然科学基金、工信部高技术船舶项目、科工局项目、高水平科研引导专项、基础科研项目、横向项目等项目10项；目前已发表学术论文20余篇，其中SCI/EI论文12篇；申请发明专利6项；软件著作权登记6项。Measurement science and technology、Energy science & engineering等多个国际期刊审稿人。

1）新型燃料发动机故障诊断与健康管理

2）基于数字孪生的发动机寿命预测

3）智能机舱关键技术

4）智能能效关键技术

5）船舶动力系统智能运维技术

1）Measurement science and technology审稿人

2）Energy science & engineering审稿人
3）《机械科学与技术》青年编委

1）一种基于复合层次离散熵CHDE和成对邻近度PWFP的共轨喷油器敏感故障特征提取方法. 授权号:CN111520231B

2）一种基于CEEMD和改进层次离散熵的共轨喷油器故障诊断方法. 申请号:CN112610344A

3）一种基于FOA-VMD和HDE的共轨喷油器故障诊断方法. 申请号:CN111520267A

4）一种基于GOA-MCKD和层次离散熵的共轨喷油器微弱故障诊断方法. 申请号:CN111042917A

5）一种共轨喷油器故障诊断方法.申请号:CN112761843A

[1] Ke Yun, Yao Chong, Song Enzhe, et al. An early fault diagnosis method of common-rail injector based on improved CYCBD and hierarchical fluctuation dispersion entropy[J]. Digital Signal Processing, 2021, 114(4):103049. (SCI: 000651615700015. EI: 20211510191993)
[2] Ke Yun, Yao Chong, Song Enzhe, et al. Intelligent fault diagnosis method of common rail injector based on composite hierarchical dispersion entropy and improved least squares support vector machine[J]. Digital Signal Processing, 2021, 114(4):103054. (SCI: 000651615700013. EI: 20211710268691)
[3] Ke Yun, Yao Chong, Song Enzhe, et al. A weak fault diagnosis scheme for common rail injector based on MGOA-MOMEDA and improved hierarchical dispersion entropy[J]. Measurement Science and Technology, 2021, 32(2):025012 (13pp). (SCI: 000595507600001. EI: 20205109635166)
[4] Song E, Ke Y, Yao C, et al. Fault Diagnosis Method for High-Pressure Common Rail Injector Based on IFOA-VMD and Hierarchical Dispersion Entropy[J]. Entropy, 2019, 21(10):923. (SCI: 000495094000007)
[5] Ke Y, Yao C, Song E, et al. Intelligent fault diagnosis method for common rail injectors based on hierarchical weighted permutation entropy and pair-wise feature proximity feature selection[J]. Journal of Vibration and Control. April 2021. doi:10.1177/10775463211010521. (SCI: 000682754800001. EI: 20211710269712)
[6] Ke Y, Hu Y, Song E, et al. A method for degradation features extraction of diesel engine valve clearance based on modified complete ensemble empirical mode decomposition with adaptive noise and discriminant correlation analysis feature fusion[J]. Journal of Vibration and Control. May 2021. doi:10.1177/10775463211016125. (SCI: 000682970600001. EI: 2021201035731)
[7] Yun K, Chong Y, Enzhe S, et al. Fault Diagnosis Method of Diesel Engine Injector Based on Hierarchical Weighted Permutation Entropy[C]. I2MTC 2021 - International Instrumentation and Measurement Technology Conference, May 17, 2021. (EI: 20213410812177)
[8] Song Enzhe, Gao Feng, Yao Chong, Ke Yun. Research on Rolling Bearing Fault Diagnosis Method Based on Improved LMD and CMWPE[J]. Journal of Failure Analysis and Prevention, August 2021. doi:10.1007/S11668-021-01226-3. (EI: 20213310780002)
[9] 柯赟, 宋恩哲, 姚崇, 等. 船舶柴油机故障预测与健康管理技术综述[J]. 哈尔滨工程大学学报, 2020,41(01):125-131. (EI: 20201308337564)
[10] 柯赟, 宋恩哲, 姚崇, 等. 层次离散熵及其在高压共轨喷油器故障诊断中的应用[J]. 振动与冲击, 2021,40(02):72-80. (EI: 20210609878162)