Selected Publications

Zhigang (Will) Tian

1. Xingkai Yang, Dongdong Wei, Mingjian Zuo, Zhigang Tian. “Analysis of vibration signals and detection for multiple tooth cracks in spur gearboxes”. Mechanical Systems and Signal Processing. Accepted 2022. 

2. Xingkai Yang, Ebrahim Tofighi-Niaki, Mingjian Zuo, Zhigang Tian, Mir Saeed Safizadeh, Dali Qin. Analysis of spur gearbox dynamics considering tooth lubrication and tooth crack severity progression. Tribology International. Accepted 2022.

3. Junaid Tahir, Rafiq Ahmad, Zhigang Tian. Calorific Value Prediction Models of Processed Refuse Derived Fuel 3 using Ultimate Analysis. Biofuels. Accepted 2022.   

4. Rui He, Zhigang Tian, Mingjian Zuo. “A transferable neural network method for remaining useful life prediction”. Mechanical Systems and Signal Processing. Vol. 183, 109608, 2023. 

5. Rui He, Zhigang Tian, Mingjian Zuo. “Machine prognostics under varying operating conditions based on state-space and neural network modeling”. Mechanical Systems and Signal Processing. Vol. 182, 109598, 2023.

6. Han Zhang, Zhigang Tian. “An integrated method with a new interaction rule for the reliability assessment of steel pipeline with multiple corrosion defects”. Journal of Pipeline Systems - Engineering and Practice. Vol. 13, No. 4, 04022045, 2022.

7. Rui He, Jingyu Zhu, Guoming Chen , Zhigang Tian. “A novel real-time probabilistic risk assessment method for petrochemical industries based on data monitoring”. Reliability Engineering & System Safety. Vol. 226, 108700, 2022.

8. Yinuo Chen, Shuyi Xie, Zhigang Tian. “Risk assessment of buried gas pipelines based on improved cloud-variable weight theory”. Reliability Engineering & System Safety. Vol. 221, 108374,  2022.

9. Zhigang Tian, Han Zhang. “Wind farm predictive maintenance considering component level repairs and economic dependency”. Renewable Energy. Vol. 192, pp. 495-506, 2022.

10. HAN ZHANG, Zhigang Tian. “Failure analysis of corroded high-strength pipeline subject to hydrogen damage based on FEM and GA-BP neural network”. International Journal of Hydrogen Energy. Vol. 47, No. 7, pp. 4741-4758, 2022. 

11. Rui He, Zhigang Tian, Ming J Zuo. “A semi-supervised GAN method for RUL prediction using failure and suspension histories”. Mechanical Systems and Signal Processing. Vol. 165, 108657, 2022.

12. XINGKAI YANG, PENG ZHOU, Ming J Zuo, Zhigang Tian. “Normalization of gearbox vibration signal for tooth crack diagnosis under variable speed conditions”. Quality and Reliability Engineering International.  Accepted, 2021. 

13. XINGKAI YANG, Ming J Zuo, Zhigang Tian. “Development of crack induced impulse-based condition indicators for early tooth crack severity assessment”. Mechanical Systems and Signal Processing. Vol. 165, 10832, 2022.

14. Siqi Wang, Xian Zhao, Zhigang Tian, Ming J Zuo. Optimal mission abort policy with multiple abort criteria for a balanced system with multi-state components. Computers & Industrial Engineering. Volume 160, 107544, 2021. 

15. XIANHUA CHEN, XINGKAI YANG, Ming J. Zuo, Zhigang Tian. Planetary gearbox dynamic modeling considering bearing clearance and sun gear tooth crack. Sensors. Vol. 21, No. 8, 2638, 2021.

16. Siqi Wang, Xian Zhao, Ming J Zuo, Zhigang Tian. Optimum component reassignment for balanced systems with multi-state components operating in a shock environment. Reliability Engineering & System Safety. Vol. 210, 107514, 2021.  

17. PENG ZHOU, Zhike Peng, Shiqian Chen, Zhigang Tian, Ming J Zuo. Sinusoidal FM Patterns of Fault-related Vibration Signals for Planetary Gearbox Fault Detection under Non-stationary Conditions. Mechanical Systems and Signal Processing. Vol. 155, 107623, 2021.

18. F. König, J. Marheineke, G. Jacobs, C. Sous, Ming J Zuo, Zhigang Tian. Data-driven wear monitoring for sliding bearings using acoustic emission signals and long short-term memory neural networks. Wear. Vol. 476, 203616, 2021.

19. FANGFANG DING, Zhigang Tian. “Integrated prognosis for wind turbine gearbox condition-based maintenance considering time-varying load and crack initiation time uncertainty”. International Journal of Reliability, Quality and Safety Engineering. Vol. 28, No. 04, 2150024. 2021.

20. MINGJIANG XIE, Jeff Sutherland, Bingyan Fang, Bill Gu, and Zhigang Tian. “Impact analysis of inline inspection accuracy on pipeline integrity planning”. ASME Journal of Pressure Vessel Technology. Vol. 142, No. (6), 061801 (13 pages), 2020.

21. Zhigang Tian, and HAN WANG. “Wind power system reliability and maintenance optimization considering turbine and wind uncertainty”. Journal of Quality in Maintenance Engineering. 2020.

22. Mingjiang Xie*, and Zhigang Tian. “A review on pipeline integrity management utilizing in-line inspection data”. Engineering Failure Analysis. Vol. 92, pp. 222-239, 2018.

23. Fangfang Ding*, Zhigang Tian, Fuqiong Zhao, and Hao Xu. “An integrated approach for wind turbine gearbox fatigue life prediction considering instantaneously varying load conditions”. Renewable Energy. Vol. 129, pp. 260-270, 2018.

24. Mingjiang Xie*, Steven Bott, Aaron Sutton, Alex Nemeth, and Zhigang Tian. “An integrated prognostics approach for pipeline fatigue crack growth prediction utilizing inline inspection data”. ASME Journal of Pressure Vessel Technology. Vol. 140, No. 3, pp. 03170 (10 pages), 2018.

25. Mingjiang Xie*, and Zhigang Tian. “Risk-based pipeline re-assessment optimization considering corrosion defects”. Sustainable Cities and Society. Vol. 38, pp. 746-757, 2018. 

26. Fuqiong Zhao*, Zhigang Tian, Xihui Liang, and Mingjiang Xie*. “An integrated prognostics method for failure time prediction of gears subject to the surface wear failure mode”. IEEE Transactions on Reliability. Vol. 67, No. 1, pp. 316-327, 2018. 

27. Guanghan Bai*, Zhigang Tian, Ming J. Zuo. “Reliability evaluation of multistate networks: an improved algorithm using state space decomposition and experimental comparison”. IISE Transactions. Vol. 50, No. 5, pp. 407-418, 2018. 

28. Fuqiong Zhao*, Zhigang Tian, Yong Zeng, and Mingjiang Xie*. “Integrated equipment health prognosis considering crack initiation time uncertainty and random shock”. Chinese Journal of Mechanical Engineering. Vol. 30, pp. 1383-1395, 2017.  

29. Guanghan Bai*, Zhigang Tian, Ming J. Zuo. “An improved algorithm for finding all minimal paths in a network”. Reliability Engineering and System Safety. Vol. 150, pp. 1-10, 2016.

30. Guanghan Bai*, Ming J. Zuo, Zhigang Tian. “Search for all d-MPs for all d levels in multistate two-terminal networks”. Reliability Engineering and System Safety. Vol. 142, pp. 300-309, 2015. 

31. Guanghan Bai*, Ming J. Zuo, Zhigang Tian. “Ordering heuristics for reliability evaluation of multistate networks”. IEEE Transactions on Reliability. Vol. 64, No. 3, pp. 1015-1023, 2015.

32. Fuqiong Zhao*, Zhigang Tian, Eric Bechhoefer and Yong Zeng. “An integrated prognostics method under time-varying operating conditions ”. IEEE Transactions on Reliability. Vol. 64, No. 2, pp. 673-686, 2015.

33. Tongdan Jin, Zhigang Tian, and Min Xie. “Joint management of maintenance, spares and service capacity in performance contracting”. International Journal of Production Economics. Vol. 161, pp. 31-43, 2015.

34. Zhigang Tian, Amir Ahmad Seifi*. “Reliability analysis of hybrid energy system”. International Journal of Reliability, Quality and Safety Engineering. Vol. 21, No. 3, 2014.

35. Zhigang Tian, Bairong Wu*, and Mingyuan Chen. “Condition Based Maintenance Optimization Considering Improving Prediction Accuracy”.  Journal of the Operational Research Society, Vol. 65, No. 9, pp. 1412-1422, 2014. 

36. Fangfang Ding*, Zhigang Tian, Abeer Amayry*. “Condition based maintenance of wind power generation systems considering different turbine types and lead times”. International Journal of Strategic Engineering Asset Management. Vol. 2, No. 1, pp. 63-79, 2014. 

37. Fuqiong Zhao*, Zhigang Tian and Yong Zeng. “A stochastic collocation approach for efficient integrated gear health prognosis”. Mechanical Systems and Signal Processing, Vol. 39, No. 1-2, pp. 372-387, 2013.

38. Fuqiong Zhao*, Zhigang Tian and Yong Zeng. “Uncertainty quantification in gear remaining useful life prediction using an integrated prognostics method”. IEEE Transactions on Reliability, Vol. 62, No. 1, pp. 146-159, 2013.

39. Bairong Wu*, Zhigang Tian, and Mingyuan Chen. “Condition based maintenance optimization using neural network based health condition prediction”. Quality and Reliability Engineering International, Vol. 29, No. 8, pp. 1151-1163, 2013.

40. Haitao Liao, and Zhigang Tian. "A Framework for Predicting the Remaining Useful Life of a Single Unit under Time-varying Operating Conditions". IIE Transactions, Vol. 45, No. 9, pp. 964-980, 2013.  

41. Fangfang Ding*, and Zhigang Tian. “Opportunistic maintenance for wind farms considering multi-level imperfect maintenance thresholds”. Renewable Energy. Vol. 45, pp. 175-182, 2012.

42. Bairong Wu*, and Zhigang Tian. “A Data Processing Method for Condition based maintenance using proportional hazards model ”. International Journal of Performability Engineering. Vol. 8, No. 4, pp. 389-398, 2012. 

43. Fangfang Ding*, and Zhigang Tian. “Opportunistic Maintenance Optimization for Wind Turbine Systems Considering Imperfect Maintenance Actions”. International Journal of Reliability, Quality and Safety Engineering. Vol. 18, No. 5, pp. 463-469, 2011.  

44. Zhigang Tian, Tongdan Jin, Bairong Wu*, and Fangfang Ding*. “Condition based maintenance optimization for wind power generation systems under continuous monitoring”. Renewable Energy. Vol. 36, pp. 1502-1509, 2011. 

45. Zhigang Tian, and Haitao Liao. “Condition based maintenance optimization for multi-component systems using proportional hazards model”. Reliability Engineering & System Safety. Vol. 96, No. 5, pp. 581-589, 2011.

46. Zhigang Tian, and Ming J. Zuo. “Health condition prediction of gears using a recurrent neural network approach”. IEEE Transactions on Reliability. Vol. 59, No. 4, pp. 700-705, 2010.

47. Zhigang Tian, Lorna Wong, and Nima Safaei. “A neural network approach for remaining useful life prediction utilizing both failure and suspension histories”. Mechanical Systems and Signal Processing. Vol. 24, No. 5, pp. 1542-1555, 2010. 

48. Zhigang Tian. “An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring”. Journal of Intelligent Manufacturing. Vol. 23, No. 2, pp. 227-237, 2012. 

49. Zhigang Tian, Ming J. Zuo, and Siyan Wu. “Crack propagation assessment for spur gears using model-based analysis and simulation”. Journal of Intelligent Manufacturing. Vol. 23, No. 2, pp. 239-253, 2012.  

50. Yi Ding, Ming J. Zuo, Zhigang Tian, and Wei Li, "The hierarchical weighted multi-state k-out-of-n system model and its application for infrastructure management". IEEE Transactions on Reliability. Vol. 59, No. 3, pp. 593-603, 2010.

51. Zhigang Tian, Daming Lin and Bairong Wu*. “Condition based maintenance optimization considering multiple objectives”. Journal of Intelligent Manufacturing. Vol. 23, No. 2, pp. 333-340, 2012. 

52. Zhigang Tian, Gregory Levitin, and Ming J. Zuo. “A joint reliability-redundancy optimization approach for multi-state series-parallel systems”. Reliability Engineering & System Safety, Vol. 94, No. 10, pp. 1568-1576, 2009.

53. Zhigang Tian, Ming J Zuo, and Richard CM Yam. “The multi-state k-out-of-n systems and their performance evaluation”. IIE Transactions.  Vol. 41, No. 1, pp. 32-44, 2009.

54. Zhigang Tian, Ming J Zuo, and Hongzhong Huang. “Reliability-redundancy allocation for multi-state series-parallel systems”. IEEE Transactions on Reliability, Vol. 57, No. 2, pp. 303-310, 2008.

55. Zhigang Tian, Richard CM Yam, Ming J Zuo, and Hongzhong Huang. “Reliability bounds for multi-state k-out-of-n systems”. IEEE Transactions on Reliability, Vol. 57, No. 1, pp. 53-58, 2008.

56. Yi Ding, Ming J. Zuo, Anatoly Lisnianski and Zhigang Tian. "Fuzzy multi-state system: general definition and performance assessment". IEEE Transactions on Reliability. Vol. 57, No. 4, pp. 589-594, 2008.

57. Ming J Zuo, Zhigang Tian, and Hongzhong Huang. “An efficient method for evaluating the multi-state network reliability given all minimal path vectors”. IIE Transactions, Vol. 39, No. 8, pp. 811-817, 2007.

58. Ming J Zuo and Zhigang Tian. “Performance evaluation for generalized multi-state k-out-of-n systems”. IEEE Transactions on Reliability, Vol. 55, No. 2, pp. 319-327, 2006.

 

 

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