Education: Ph.D. (The University   of Western Australia)

Major: Mechanical Engineering

School: School of Mechanical and Automotive Engineering

Department/Institute：Center   for Structural Acoustics and Machine Fault Diagnosis

Title:   Professor

Email:   trlin@qut.edu.cn

Personal profile（個人簡介）

Dr Tian Ran   Lin acquired his PhD degree in Mechanical Engineering from the University of   Western Australia in 2006, specialized in Structure Acoustics, Noise and Vibration   Control. He then worked for Queensland University of Technology, Australia from   early 2007, and stayed there until 2015 before he relocated to Qingdao China.   Dr Lin has worked as a ‘Taishan Scholar’ Distinguished Professor in Mechanical   Engineering at Qingdao University of Technology since 2015. He established   the Center for Structural Acoustics and Machine Fault Diagnosis at Qingdao   University of Technology in 2015 to undertake fundamental and applied research   work in acoustics, noise and vibration analysis and control, signal   processing, condition monitoring, automated machine fault diagnostic and prognostic.   Dr Lin publishes regularly at leading journals in his field of research   including Journal of the Acoustical   Society of America, Journal of Sound and Vibration, Mechanical Systems and   Signal Processing, Reliability Engineering and System Safety, Structural   Health Monitoring, Journal of Vibration and Acoustics, Measurement, IEEE-TIE,   IEEE-TIM, Applied Acoustics etc. He is regularly invited to review papers for more than 40 highly reputable   international journals and review books and book proposals for Elsevier, Springers   and CRC Press. Dr Lin is currently an Associate Editor for Journal of   Vibration Engineering and Technologies, a guest editor for Journal of Sound   and Vibration. Dr Lin has also provided professional service to several academic   related organizations. He served as the general co-chair for two   international scientific conferences in 2018 and 2019 respectively and participated   in organizing many other international conferences either as a member of the   organizing committee or scientific committee. He is the general chair of the   19^th Asia Pacific Vibration Conference which will be held between   12-15^th, May 2022 in Qingdao. Dr Lin also held several adjunct   positions at various institutions. He is a honorable visiting professor at De   Montfort University in United Kingdom, a visiting research fellow at Queensland   University of Technology, Australia. He is a fellow of the International   Society of Engineering Asset Management, a member of the international   steering committee of Asia Pacific Vibration Conference, a full member of the   Acoustical Society of America, a senior member of the Chinese Mechanical   Engineering Society, and a senior member of the Chinese Society for Vibration   Engineering.

Employment track（工作履歷）

ACADEMIC   RELATED EXPERIENCE

· 2015 – Now Qingdao   University of Technology, ‘Taishan Scholar’ distinguished professor

· 2018 – Now Haier & QUT   Joint Acoustic Laboratory, Director

· 2017 – Now Shandong   Provincial Key Laboratory on Machine Tribology and Intelligent Fault   Diagnosis, Director

· 2015 – Now Center for   Structural Acoustics and Machine Fault Diagnosis, Director

· 2019 – 2022 De Montfort University (Leicester,   United Kingdom), Honourable Visiting Professor

· 2007 – 2021 Queensland   University of Technology (Brisbane), Research Fellow/Visiting Fellow

· 2001 – 2007 The University   of Western Australia, Research and Teaching Assistant /Tutor

Professional Service （學術兼職）

1. Fellow,   International Society of Engineering Asset Management

2. Full   member, the Acoustical Society of America

3. Senior member,   the Chinese Mechanical Engineering Society

4. Senior member,   the Chinese Society of Vibration Engineering

Research field（研究領域）

Structure Acoustics,   Noise and Vibration Control, Signal Processing, Condition Monitoring, Machine   Fault Diagnostics and Prognostics, Artificial Intelligent

Teaching（教學情況）

1. Fundamentals   of Noise and Vibration Analysis and Machine Fault Diagnosis

2. Numerical   Methods for Noise and Vibration Analysis

3. Noise   and Vibration Analysis and Control, Industrial Case Studies

Scientific research（科研情況）

1. Fundamental research to advance noise and vibration   analysis and control techniques

2. Applications of noise and vibration control to solve   industrial problems

3. Applied research to develop condition monitoring,   signal processing, artificial intelligent, machine fault diagnostic and   prognostic techniques for industry applications.

Academic achievements（學術成果）

Research   outputs since 2015

Journal   Publications

1. L. Zhao, T. R. Lin^*, “A turned double-layer microperforated panel for low   frequency sound absorption in enclosures with limited cavity space”, Applied   Acoustics, 188 (2022), 108594 (IF 2.639)

2. Y. Zhou, B. Li   and T. R. Lin, “Maintenance optimization of multicomponent systems   using hierarchical coordinated reinforcement learning”, Reliability Engineering and System Safety, 217 (2022) 108078 (IF 6.188)

3. K.   Zhang, J. Pan and T. R. Lin^*, “Vibration response   of plates stiffened by orthogonal beams”, Journal of Sound and Vibration 513   (116424) 2021 (IF 3.655)

4. 趙廣謙，姜培剛，林天然^*，“基于CNN-BiLSTM網絡及注意力機制的智能滾動軸承剩余壽命預測”，（已錄用）機電工程 (Mechatronic Engineering)，2021

5. 于承宣，劉忠遠，范強，林天然^*，“基于工況傳遞路徑（OTPA）方法的熱泵熱水器室外機振動噪聲分析”，（已錄用）噪聲與振動控制 (Noise   and Vibration Control)，2021

6. 張冰，姜培剛，林天然^*，“基于MSST和雙通道CNN技術變數(shù)軸承的故障診斷”，（已錄用）機電工程 (Mechatronic Engineering)，2021

7. K. Yu, Q. Fu, H. Ma, T. R. Lin   and X. Li, “Simulation data driven weakly supervised adversarial domain   adaptation approach for intelligent cross machine fault diagnosis”, Structural Health Monitoring 2021, 20(4)   2182–2198 (IF 5.929)

8. X. Li, D. Mba,   E. Okoroigwe and T. R. Lin, “Remaining Service life prediction based   on grey model and empirical Bayesian with applications to compressors and pumps”,   Quality and Reliability Engineering International 2021, 37(2) 681-693 (IF 2.885)

9. G. Yu, T. R. Lin, et al “Time-reassigned Multi-synchrosqueezing Transform for Bearing   Fault Diagnosis of Rotating Machinery”, IEEE Transactions on Industrial Electronics 1486-1496, 68(2), 2021 (IF 8.236)

10. K. Yu, T. R. Lin^* and J. Tan, “A   bearing fault and severity diagnostic technique using deep belief networks   and Dempster-Shafer theory”, Structural Health Monitoring 19(1), 240-261,   2020 (IF 5.929)

11. G. Yu^*, T. R. Lin^*,   “Second order transient-extracting transform for the analysis of impulse-like   signals” Mechanical Systems and Signal Processing, 147 (2021) 107069 (IF 6.823)

12. K.   Yu, T. R. Lin et al, “A multi-stages semi-supervised learning approach   for intelligent fault diagnosis of rolling bearing using data augmentation   and metric learning”, Mechanical Systems and Signal Processing, 146 (2021)   107043 (IF 6.823)

13. X. Li, D. Mba, T. R. Lin, Y. Yang, P. Loukopoulos, “Just-in-time learning based probabilistic   gradient boosting tree for valve failure prognostics”, Mechanical Systems and Signal Processing, 150 (2021) 107253 (IF 6.823)

14. 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, 2020 (IF 4.016)

15. H. Xi^*,   T.   R. Lin^*, F. Wang, Y. Zhou, G. Wang, P. Liu,   “Contact probabilities of an angular ball bearing under a combined axial and   radial load” Mechanism and Machine Theory, 157   (2021), 104196 (IF 3.866)

16. Y. Zhou, C.   Yuan, T. R. Lin, L. Ma, “Maintenance policy structure investigation and optimisation   of a complex production system with intermediate buffers”, Proceedings of the Institution of Mechanical Engineers, Part O:   Journal of Risk and Reliability 2021,   235(3) 458–473 (IF 1.891)

17. T.   Dai, X. Jin, H. Yang, T. R. Lin^* and Y. T. Gu^*, “Smoothed Finite Element Methods for predicting the mid   to high frequency acoustic response in the cylinder-head chamber of a diesel   engine”, International Journal of Computational Methods 17(9), 1950060,   2020 (IF 2.193)

18. K. Yu, H. Ma, T. R. Lin et al, “A consistency regularization   based semi-supervised learning approach for intelligent fault diagnosis of   rolling element bearings”, Measurement, 165, (2020) 107987 (IF 3.927)

19. 林天然^*，李震，“An Overview of Statistical Energy   Analysis and its Applications - 統(tǒng)計能量分析方法與應用綜述”,振動與沖擊 (Shock and Vibration),(40)3,   222-238, 2021

20. 楊華澤，戴騰飛，林天然^*, “A study on the sound/structure   interaction using an improved edge-smooth finite element method - 改進型邊光滑有限元在聲固耦合中的應用研究”, 噪聲與振動控制   (Noise and Vibration Control), 40(4), 1-6, 2020

21. 劉忠遠，林天然^*，官源林，于承宣, “A sound impedance analysis of a perforated membrane-type   acoustic metamaterial and the sound insulation bandwidth optimization - 通孔薄膜聲學超材料聲阻抗分析及隔聲帶寬優(yōu)化”, 噪聲與振動控制 (Noise and Vibration   Control)，40(1), 208-211, 2020

22. K. Zhang, T. R. Lin^* and X. Jin, “Low Speed Bearing Fault Diagnosis   Based on EMD - CIIT Histogram Entropy and KFCM Clustering”, Journal of   Shanghai Jiaotong University (Science) 24(5):616-621, 2019

23. 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 (IF 2.639)

24. 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 (IF 3.927)

25. X. W. Zhang and T. R.   Lin^*, “A study of   the torsional vibration of a 4-cylinder diesel engine crankshaft”, Asset Intelligence through Integration and Interoperability   and Contemporary Vibration Engineering Technologies, 2019, 383-392, Springer,   Cham

26. 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   (IF 6.188)

27. 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

28. 張凱，林天然*，顧元通，“簡支Mindlin板的振動與聲輻射研究”, 振動與噪聲控制 38(Z1),   219-233, 2018

29. H.   Lin, Z. Gao, L. Jiao, C. Yi and T.   R. Lin*, “A simulation study on a   multi-rate time-frequency analysis of non-stationary signals”, Journal of   Shanghai Jiaotong University (Science) 23(6), 798-802, 2018

30. 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

31. 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 (IF 3.655)

32. 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 (IF 2.639)

33. 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 (IF 6.188)

34. 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 (IF 1.84)

35. Y. Yin, X. Hu and T. R.   Lin*, “A practical approach to analyze the non-stationary 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 (IF 0.44)

36. 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 (IF 1.543)

37. 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 (IF 6.823)

38. Y.   Zhou, T. R. Lin, S. Yong, Y. Bian   and L. Ma, “An effective approach to reducing strategy space for maintenance   optimisation of multistate series-parallel systems”, Reliability Engineering   and System Safety 138, 40-53, 2015 (IF 6.188)

39. 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 (IF 1.554)

Scientific monographs

1 X. Li, T. R. Lin, and D. Mba, “A   Tutorial on Canonical Variate Analysis for Diagnosis and Prognosis”, in “Smart   Monitoring of Rotating Machinery for Industry 4.0”, ed. by F. Chaari, X.   Chiementin, R. Zimroz, F. Bolaers and M. Haddar, Springer, 2022, ISBN   978-3-030-79519-1, https://doi.org/10.1007/978-3-030-79519-1_2, 11-31.

2 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.

3 【美】Boyun Guo, Shanhong Song, Ali Ghalambor and 【澳】Tian Ran Lin，“近海管道設計、安裝與維護”，中國石化出版社，May 2016, ISBN 9787511439628   (吳玉國，王衛(wèi)強譯)

Conference Proceedings

1. Proceedings   of 2018   Asia-Pacific International Symposium on Advanced Reliability and Maintenance   & 2018 International Conference on Quality, Reliability, Risk,   Maintenance and Safety Engineering, Volume I - III, Page 1-1065, edited by H.   Z. Huang, J. Pang, Y. H. Liu and T. R.   Lin

Peer reviewed Conference Publications

1 李佳鑫，林天然^*，“基于局部最大值二階同步壓縮變換技術的變工況軸承故障診斷”，第14屆全國振動理論及應用學術會議，22-25,Oct.2021,   中國天津

2 J. Li, K. Wang, C. Ni and T.   R. Lin^*, “A   multi-synchrosqueezing ridge extraction transform for the analysis of   non-stationary multi-component signals”, IEEE PHM-2021, 15-17 October 2021,   Nanjing China

3 X. Tang, H. Xi, Q. Chen and T. R. Lin^*, “Rolling Bearing Remaining Useful Life Prediction   Based on LSTM-Transformer algorithm”, TEPEN2021   & IncoME-VI, 21-23 August 2021, Tianjin, China

4 郭慧，張凱，林天然^*，“板腔耦合系統(tǒng)振聲特性分析”，第29屆全國振動與噪聲高技術應用會議，2021年4月9-11號，中國重慶

5 趙樂其，林天然^*，“折疊式雙層微穿孔板結構設計及其吸聲性能”,第29屆全國振動與噪聲高技術應用會議，2021年4月9-11號，中國重慶

6 J. P. Xing and T. R. Lin^*,   “Bearing fault diagnosis based on the improved local mean decomposition”,   QR2MSE2020, 8-11, Oct. 2020, Xi’an, China

7 J. Shang and T. R. Lin^*,   “Varying Speed Bearing Fault Diagnosis Based on Synchroextracting Transform   and Deep Residual Network”, APARM2020, 20-23, Aug. 2020, Vancouver, Canada

8 倪超，林天然^*，李佳鑫，“基于EEMD與SST技術的變工況滾動軸承故障診斷”，2020年全國設備檢測診斷與維護學術會議，19-21, Aug, 2020, 中國福州

9 K. Zhang and T. R. Lin^*, “Sound transmission of beam stiffened   thick plates”, in Proceedings of Asia Pacific Vibration Conference, 18-20,   November, 2019, Sydney Australia

10 J. Z. Xue, J. P. Xing, C. Ni, T. R.   Lin*, “Fault diagnosis of   rolling bearings based on optimal variational mode decomposition”, Proceedings of the   10^th IEEE Prognostics and System Health Management Conference, PHM   2019, 25-27 October 2019, Qingdao China

11 C. Ni, T. R. Lin*, J. P. Xing, J.   Z. Xue, “A time-frequency analysis of non-stationary signals using variation   mode decomposition and synchrosqueezing techniques”, Proceedings of the 10^th IEEE Prognostics and   System Health Management Conference, PHM 2019, 25-27 October 2019, Qingdao   China

12 X. Li, D. Mba   and T. R. Lin, “A similarity-based and model-based fusion prognostics   framework for remaining useful life prediction”, Keynote paper, the 10^th IEEE Prognostics and   System Health Management Conference, PHM 2019, 25-27 October 2019, Qingdao   China

13 X. Li, D. Mba   and T. R. Lin, “A   hybrid framework combining data-level fusion and model-based models for remaining   useful life prediction”, the 10^th IEEE Prognostics and System   Health Management Conference, PHM 2019, 25-27 October 2019, Qingdao China

14 K. Zhang and T. R. Lin^*, “加強筋對輕流體-Mindlin板-重流體耦合結構聲傳播特性的影響研究”, 第29界全國振動與噪聲高技術應用學術會議，2019年11月10-11日，中國西安

15 J. P. Xing, T. R. Lin^* and D. Mba, “A   multi-component bearing fault diagnosis using fast iterative filtering   technique”, COMADEM 2019, 3-5 September 2019, Huddersfield, UK

16 X. Li, D.   Mba, T. R. Lin and E. Okoroigwe, “Remaining useful life prediction of   a centrifugal pump based on canonical variate analysis, grey model and   particle filter”, COMADEM 2019, 3-5 September 2019, Huddersfield, UK

17 K. W. Lu, T. R. Lin^*, J. Z. Xue, J.   Shang and C. Ni, “An automated   bearing fault diagnosis using a self-normalizing convolutional neural network”, in Proceedings of QR2MSE 2019 conference, 6-9 August,   2019 Zhangjiajie, China

18 T. Dai … T. R. Lin^*, “A Numerical Investigation of the Mass Redistributed Edge-based   Smoothed Finite Element Method for 3D Acoustic Radiation Problems”, in Proceedings of 14^th International   Conference on Theoretical and Computational Acoustics (ICTCA2019), 28 July –   1 August 2019, Beijing, China

19 K. Yu and T. R. Lin^*, “A modified synchrosqueezing   transform technique for the analysis of a strong frequency modulated nonstationary   signal”, in Proceedings of World Congress on Reliability,   Resilient and Engineering Asset Management, 27-30 July 2019, Singapore

20 K. Yu and T. R. Lin^*, “A fourth order synchroextracting transform and its   application for rolling bearing fault diagnosis under nonstationary operating   condition”, Invited overview paper, in Proceedings of the CM2019-MFPT2019   Conference, Glasgow, 25-27, June 2019, United Kingdom

21 J.   P. Xing and T. R. Lin^*,   “Bearing fault diagnosis based on the variation mode decomposition technique”,   in Proceedings   of the 13^th World   Congress on Engineering Asset Management, Stavanger, Norway, 24-26 September   2018.

22 J.   P. Xing and T. R. Lin^*,   “An improvement of time-frequency analysis for nonstationary signals using   Gaussian particle filtering”, in Proceedings of APARM2018 & QR2MSE2018,   Qingdao, P. R. China, 21-24 August 2018.

23 張凱，林天然^*，顧元通，“簡支Mindlin板的振動與聲輻射研究”, 第28界全國振動與噪聲高技術應用學術會議，2018年4月20-22日，中國上海（Best conference paper award）

24 X. Jin, T. Dai, H. Yang, Y. Guan, E.   Sauret, Y. Gu and T. R. Lin^*,   “A review of meshfree methods for mid-frequency acoustic modelling”, in   Proceedings of the 3^rd Australasia Conference on Computational   Mechanics, Geelong, Australia, 12-13, Feb. 2018

25 T.   R. Lin^* and   K. Zhang, “The effect of rib insertion on the vibration response of a   completely free plate”, in Proceedings of the 17th Asian Pacific Vibration   Conference, 13-15 November 2017, Nanjing Jiangsu China

26 K.   Zhang, T. R. Lin^* and X. Jin, “Low Speed Bearing   Fault Diagnosis Based on EMD – CIIT Histogram Entropy and KFCM Clustering”,   in Proceedings of ICMR 2017 & QR2MSE 2017, 24-27 October 2017, Chengdu,   Sichuan, China

27 T.   R. Lin^* and   X. W. Zhang, “A study of the torsional vibration of a 4-cylinder diesel   engine crankshaft”, in Proceedings of the 12th World Congress on Engineering   Asset Management & 13^th International Conference on Vibration   Engineering and Technology of Machinery, 2-4 August 2017, Brisbane Australia

28 T.   R. Lin^* and   K. Yu, “A study of bearing fault diagnosis using deep belief networks”, in   Proceedings of the First World Congress on Condition Monitoring, 13-16 June   2017, London, United Kingdom

29 林天然^*，邢金鵬，俞坤，“弱故障信號處理技術與軸承故障診斷”，特邀大會專題報告(Invited keynote   speech)，第二屆重型機械智能化技術創(chuàng)新論壇，2017 年3 月30-31 日，中國浙江嘉興

30 A.   C. C. Tan and T. R.   Lin, “Acoustic emission technique in   machine diagnostics and condition monitoring of diesel engines”, In   Proceeding of the 2016 World Congress on Engineering Asset Management   (OR2MSE2016 & WCEAM2016), 25-28 July 2016, Jiuzhaigou, P. R. China (Best   conference paper award)

31 T. Han, C. C. Shi, Z. B. Wei and T. R. Lin, “Analysis of complex time   series using a modified multiscale Fuzzy Entropy Algorithm”, in Proceedings   of International Conference on Identification, Beijing, P. R. China, 20-21   October 2016, page 45-51

32 Y. Shi, T. R. Lin, G. Meng, J. Huang, “A study on the suppression of   cavitation flow inside an axial piston pump”, in Proceedings of the 2016   Prognostics and System Health Management Conference, 19-21 October 2016,   Chengdu, P. R. China

33 Y. Guan, T. R. Lin, X. Yang and H. Li, “An   experimental study on the torsional vibration mode of a flexible compound   caudal fin”, in Proceedings of the 29th International Congress on Condition   Monitoring and Diagnostic Engineering Management - COMADEM 2016, 20-22 August,   Xi’an, P. R. China