振动噪声分析与控制
机械振动分析
振动理论与声学原理
振动声学原理与故障诊断

结构声学、振动噪声分析与控制、机械装备在线监测与故障诊断

1.T. R. Lin*, Y. Kun and J. Tan, “Condition Monitoring and Fault Diagnosis  of Rolling Element Bearings”, in “Bearing Technology”, ed. by P. H. Darji,InTech Publishing, Croatia, 2017, ISBN 9789535131847 (http://dx.doi.org/10.5772/67143), 39-75.
2.【美】Boyun Guo, Shanhong Song, Ali Ghalambor and 【澳】Tian Ran Lin，“近海管道设计、安装与维护”，中国石化出版社，May 2016, ISBN 9787511439628 (吴玉国，王卫强译)..

1. 作为中方负责人成功主持完成国家自然基金委项目 1 项（已结题），
2. 主持山东省重点研发项目 1 项（在研）
3. 科技部高端人才引进项目 1 项（在研）
4. 获批青岛创新领军人才项目 1 项（在研）
5. 横向课题项目 4 项（S超材料隔声特性设计、悦享升级降噪、高速电梯减振降噪、齿轮减速箱智能诊断技术与系统研发）
6. 参与由青岛海尔集团牵头的山东省发改委新旧动能转换重大项目 1 项（在研）

1.林天然*，李震，“统计能量分析方法与应用综述”，（录用）振动与冲击，2020
2. K. Yu, T. R. Lin et al, “An integrated multiple monitoring information streams fusion with semi-supervised  learning approach for intelligent fault diagnosis of rolling element bearings”, Mechanical Systems and Signal Processing (In Press) 2020
3. K. Yu, H. Ma, T. R. Lin et al, “A consistency regularization based semisupervised  learning approach for intelligent fault diagnosis of rolling  element bearings”, (In Press) Measurement 2020 （3.364）
4. G. Yu*, T. R. Lin*, “Second order transient-extracting transform for the  analysis of impulse-like signals” Mechanical Systems and Signal Processing  (In Press) 2020
5. G. Yu, T. R. Lin, et al “Time-reassigned Multi-synchrosqueezing Transform for Bearing Fault Diagnosis of Rotating Machinery”, IEEE Transactions on  Industrial Electronics (In Press) （7.515）
6. 杨华泽，戴腾飞，林天然*，“改进型边光滑有限元在声固耦合中的应用研究，噪声与振动控制”，40(4)，1-6，2020
7. 刘忠远，林天然*，官源林，于承宣，“通孔薄膜声学超材料声阻抗分析及隔声带宽优化”，噪声与振动控制，40(1)，208-211，2020
8. T. Dai, X. Jin, H. Yang, T. R. Lin* and Y. Gu*, “Smoothed Finite Element  Methods for predicting the mid to high frequency acoustic response in the cylinder-head chamber of a diesel engine”, (Accepted) International Journal  of Computational Methods 2019
9. K. Yu, T. R. Lin* and J. Tan, “A bearing fault and severity diagnostic  technique using adaptive deep belief networks and Dempster-Shafer  theory”, Structural Health Monitoring 19(1), 240-261, 2020 （4.87）
10. K. Zhang, T. R. Lin* and X. Jin, “Low Speed Bearing Fault Diagnosis Based  on EMD - CIIT Histogram
ropy and KFCM Clustering”, Journal of  Shanghai Jiaotong University (Science) 24(5):616-621, 2019
11. K. Zhang and T. R. Lin*, “An analytical study of the free and forced  vibration response of a beam-stiffened Mindlin plate”, Applied Acoustics  155, 32-43, 2019 （2.44）
12. K. Yu, T. R. Lin, H. Ma, H. Li and J. Zeng, “A combined polynomial chirplet  transform and synchroextracting technique for the analysis of non-stationary  signals of rotating machinery”, IEEE transactions on Instrumentation and  Measurement 69 (4), 1505-1518, 2019 （3.658）
13. K. Yu, T. R. Lin*, J. Tan and H. Ma, “An adaptive sensitive frequency band  selection method for empirical wavelet transform and its application in  bearing fault diagnosis”, Measurement 134, 375-384, 2019 （3.364）
14. Y. Zhou, Y. Guo, T. R. Lin and L. Ma, “Maintenance optimisation of a series  production system with intermediate buffers using a multi-agent FMDP”,Reliability Engineering and System Safety 180, 39-48, 2018 （5.04）
15. X. P. Xiao, T. R. Lin*and K. Yu, “Bearing Fault Diagnosis using Deep  Belief Networks”, International Journal of Condition Monitoring and  Diagnostic Engineering Management, 21(2), 23-27, 2018
16. 张凯，林天然*，顾元通，“简支Mindlin板的振动与声辐射研究”, 振动与噪声控制-Noise and Vibration Control, 38(Z1), 219-233, 2018
17. H. Lin, Z. Gao, L. Jiao, C. Yi and T. R. Lin*, “A simulation study on a multirate  time-frequency analysis of non-stationary signals”, Journal of Shanghai  Jiaotong University (Science) 23(6), 798-802, 2018
18. K. Yu, J. Tan and T. R. Lin*, “Fault diagnosis of rolling element bearings  using a multi-scale Lempel-Ziv complexity and Mahalanobis distance  criterion”, Journal of Shanghai Jiaotong University (Science) 23(5), 696-701, 2018
19. T. R. Lin* and K. Zhang, “An analytical study of the free and forced  vibration response of a ribbed plate with free boundary condition”, Journal  of Sound and Vibration 422, 15-33, 2018 （3.429）
20. K. Yu, T. R. Lin* and J. W. Tan, “A bearing fault diagnosis technique based  on singular values of EEMD spatial condition matrix and Gath-Geva  clustering”, Applied Acoustics 121, 33-45, 2017 （2.44）
21. Y. Zhou, T. R. Lin, S. Yong and L. Ma, “Maintenance optimisation of a parallel-series system with stochastic and economic dependence under  limited maintenance capacity”, Reliability Engineering and System Safety  155, 137-146, 2016 （5.04）
22. T. R. Lin*, J. Tan, Y. Zhou, J. Jiang and K. Zhang, “A study of ribbing effect  on the vibration response and transmission of an L-shaped Plate”, Journal of  the Acoustical Society of America, 139(6), 3063-3075, 2016 （1.78）
23. Y. Yin, X. Hu and T. R. Lin*, “A practical approach to analyze the nonstationary  signals of a quayside container crane motor using a combined  empirical mode decomposition and wavelet packet quantization technique”,Noise Control Engineering Journal 64(2), 126-133, 2016 （0.44）
24. S. Pan, T. Han, A. C. C. Tan and T. R. Lin*, “Fault diagnosis system of  induction motors based on multi-scale entropy and support vector machine  with mutual information algorithm”, Shock and Vibration 2016 Article ID 5836717, 12 pages, 2016
25. W. Wu, T. R. Lin, A. C. C. Tan, “Normalization and source separation of  acoustic emission signals for condition monitoring and fault detection of a  multi-cylinder diesel engine”, Mechanical Systems and Signal Processing  64-65, 479-497, 2015
26. Y. Zhou, T. R. Lin, S. Yong, Y. Bian and L. Ma, “An effective approach to  reducing strategy space for maintenance optimisation of multistate seriesparallel  systems”, Reliability Engineering and System Safety 138, 40-53,2015 （5.04）
27. T. R. Lin*, A. C. C. Tan, L. Ma and J. Mathew, “Condition monitoring and  fault diagnosis of diesel engines using instantaneous angular speed  analysis”, Proc IMechE Part C, Journal of Mechanical Engineering Science 229(2), 304-315, 2015 （1.386）

一种基于 PID 主辅双闭环纠偏控制系统 张春巍；林天然；高山凤。ZL201721834570.6