• Zhao, R., Liu, J., Gu, J., Zhai, L., and Ma, F. (2020) Experimental study of a direct evaporative cooling approach for Li-ion battery thermal management. International Journal of Energy Research. Accepted for publication.
  • Wang, T., Liu, Z., Lu, G.L., and Liu, J. (2020) Temporal-spatio graph based spectrum analysis for bearing fault detection and diagnosis. IEEE Transactions on Industrial Electronics. Accepted for publication.
  • Wang, X.F., Lu, G.L., Liu, J., and Yan, P. (2019) A new method to realize cyclic time averaging for change detection in dynamical machine status. Measurement. 154: 1-8.
  • Zhang, C.L., Wan, F.Y., and Liu, J. (2019) Outlier Detection for Monitoring Data using Stacked Autoencoder. IEEE Access. 7: 173827-173837.
  • Zhao, R., Liu, J., and Ma, F. (2019) Development of a Novel Health Monitoring and Life Prognostics System for Industrial Bearings. ASME: Journal of Electrochemical Energy Conversion and Storage. Accepted for publication.
  • Zhang, C.L., Liu, Y.L., Wan, F.Y., Chen, B.Q., and Liu, J. (2019) Isolation and identification of compound faults in rotating machinery via adaptive deep filtering technique. IEEE Access. 7: 139118-139130.
  • Yang, S., Lu, G.L., Wang, A., Liu, J., and Yan, P. (2019) Change detection in rotational speed of industrial machinery using bag-of-words based feature extraction from vibration signals. Measurement. 146: 467-478.
  • Chen, G.Y., Lu, G.L., Liu, J., and Yan, P. (2019) An integrated framework for statistical change detection in running status of industrial machinery under transient conditions. ISA Transactions. 94: 294-306.
  • Hanachi, H., Liu, J., Ding, P., Kim, II.Y., and Mechefske, C.K. (2018) Predictive compressor wash optimization fofr economic operation of gas turbine. ASME: Journal of Engineering for Gas Turbines and Power. 140: 121006-1/11.
  • Hanachi, H., Yu, W., Kim, II.Y., Liu, J., and Mechefske, C.K. (2018) Hybrid data-driven physics-based model fusion framework for tool wear prediction. International Journal of Advanced Manufacturing Technology. 101: 2861-2872.
  • Hanachi, H., Liu, J., Kim, IL Y., and Mechefske, C.K. (2018) Hybrid sequential fault estimation for multi-mode diagnosis of gas turbine engines. Mechanical Systems and Signal Processing. 115: 255-268.
  • Wang, T., Lu, G.L., Liu, J., and Yan, P. (2019) Graph-based change detection for condition monitoring of rotating machines: techniques for graph similarity. IEEE Transactions on Reliability. 68: 1034-1049.
  • Zhao, R., Gu, J., and Liu, J. (2018) Performance assessment of a passive core cooling design for cylindrical lithium-ion batteries. International Journal of Energy Research. 42:2728-2740.
  • Hanachi, H., Mechefske, C., Liu, J., Banerjee, A., and Chen, Y. (2018) Performance-based gas turbine health monitoring: a survey. IEEE Transactions on Reliability. 67(3): 1340-1363.
  • Hanachi, H., Liu, J., and Mechefske, C. (2018) Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system. Chinese Journal of Aeronautics (Elsevier). 31(1): 1-9.
  • Lu, G., Liu, J., and Yan, P. (2018) Graph-based structural change detection for rotating machinery monitoring. Mechanical Systems and Signal Processing. 99: 73-82.
  • Yang, C.S., Lou, Q.F., Liu, J., Yang, Y.B., and Cheng, Q. (2017) Particle filtering-based methods for time to failure estimation with a real-world prognostic application. Applied Intelligence. 1-11.
  • Zhao, R., Gu, J., and Liu, J. (2017) Optimization of a phase change material based internal cooling system for cylindrical Li-ion battery pack and a hybrid cooling design. Energy. 135: 811-822.
  • Zhang, X.Z., Wu, X.J., Liu, R., Liu, J., and Yao, M.X. (2017) Influence of laves phase on creep strength of modified 9Cr-1Mo steel. Materials Science & Engineering A. 706: 279-286.
  • Zhang, X.Z., Wu, X.J., Liu, R., Liu, J., and Yao M.X. (2017) Deformation-mechanism-based modeling of creep behavior of modified 9Cr-1Mo steel. Materials Science & Engineering A. 689: 345-352.
  • Zhao, R., Liu, J., and Gu, J. (2017) A comprehensive study on Li-ion battery nail penetrations and the possible solutions. Energy. 123: 392-401.
  • Wang, T., Lu, G.L., Liu, J., and Yan, P. (2017) Adaptive change detection for long-term machinery monitoring using incremental sliding-window. Chinese Journal of Mechanical Engineering. 30: 1338-1346.
  • Ji, Y., Liu, J., and Chang, C.S. (2017) Novel modeling and dynamic simulation of magnetic tunnel junctions for spintronic sensor development. Journal of Physics D: Applied Physics. 50: 1-11.
  • Zhang, S.J., Zhang, Z.H., Zhao, R., Gu, J., Liu, J., Ormeci, B., and Zhang, J.L. (2017) A review of challenges and recent progresses in supercritical water oxidation of wastewater. Chemical Engineering Communications. 204: 265-282.
  • Yang, C.S., Letourneau, S., Liu, J., Cheng, Q.Q., and Yang, Y.B. (2017) Machine learning-based methods for TTF estimation with application to APU prognostics. Applied Intelligence. 46: 227-239.
  • Zhao, R., Zhang, S.J., Gu, J., and Liu, J. (2016) Modeling the electrochemical behaviors of charging Li-ion batteries with different initial electrolyte salt concentrations. International Journal of Energy Research. 40: 1085-1092.
  • Zhao, R., Liu, J., and Gu, J. (2016) Simulation and experimental study on lithium ion battery short circuit. Applied Energy. 173: 29-39.
  • Hanachi, H., Liu, J., Banerjee, A., and Chen, Y. (2015) Sequential state estimation of nonlinear/non-Gaussian systems with stochastic input for turbine degradation estimation. Mechanical Systems and Signal Processing. 72: 32-45.
  • Zhao, R., Zhang, S.J., Liu, J., and Gu, J. (2015) A review of thermal performance improving methods of lithium ion battery: from aspects of electrode modification and thermal management system. Journal of Power Sources. 299(20): 557-577.
  • Hanachi, H., Liu, J., Banerjee, A., and Chen, Y. (2015) Effects of humidity condensation on the trend of gas turbine performance deterioration. ASME: Journal of Engineering for Gas Turbines and Power. 137(12): 1-11.
  • Liu, L.R., Gu, J., and Liu, J. (2015) Analysis of operational energy intensity for central air conditioning system with water-cooled chiller by decomposition method. Energy and Buildings. 93: 154-159.
  • Hanachi, H., Liu, J., Banerjee, A., and Chen, Y. (2015) A framework with nonlinear system model and nonparametric noise for gas turbine degradation state estimation. Measurement Science and Technology. 26(6): 1-12.
  • Zhao, R., Gu, J., and Liu, J. (2015) An experimental study of heat pipe thermal management system with wet cooling method for lithium ion batteries. Journal of Power Sources. 273: 1089-1097.
  • Zhao, R., Liu, J., and Gu, J. (2015) The effects of electrode thickness on the electrochemical and thermal characteristics of lithium ion battery. Applied Energy. 139: 220-229.
  • Hanachi, H., Liu, J., Banerjee, A., Chen, Y., and Koul, A. (2014) A physics-based modeling approach for performance monitoring in gas turbine engines. IEEE Transactions on Reliability. 64(1): 197-205.
  • Zhang, Z.H., Liu, J., Gu, J., Su, L., and Cheng, L.F. (2014) An overview on metal oxide materials as electrocatalysts and supports for polymer electrolyte fuel cells. Energy & Environmental Science. 7: 2535-2558.
  • Zhao, R., Gu, J., and Liu, J. (2014) An investigation on the significance of reversible heat to the thermal behavior of Lithium-ion battery through simulations. Journal of Power Sources. 266: 422-432.
  • Hu, P.S., Liu, R., Liu, J., McRae, G., Yao, M.X., and Collier, R. (2014) Advanced Stellite alloys with improved metal-on-metal bearing for hip implants. Materials & Design. 60: 424-432.
  • Zhang, S.J., Zhao, R., Liu, J., and Gu, J. (2014) Investigation on a hydrogel based passive thermal management system for lithium ion batteries. Energy. 68: 854-861.
  • Zhao, R., Zhang, S.J., Gu, J., Liu, J., Carkner, S., and Lanoue, E. (2014) An experimental study of lithium ion battery thermal management using flexible hydrogel films. Journal of Power Sources. 255: 29-36.
  • Hu, P.S., Liu, R., Liu, J., and McRae, G. (2014) Investigation of wear and corrosion of a high-carbon Stellite alloy for hip implants. Journal of Materials Engineering and Performance. 23(4): 1223-1230.
  • Liu, D., Luo, Y., Liu, J., Peng, Y., Guo, L., and Pecht, M. (2013) Lithium ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm. Neural Computing and Applications. 25(4): 557-572.
  • Hanachi, H., Liu, J., Banerjee, A., Koul, A., Liang, M., and Alavi, E. (2012) Bladed disc crack diagnostics using blade passage signals. Measurement Science and Technology. 23: 125003 (8pp).
  • Liu, J. (2012) Shannon wavelet spectrum analysis on truncated vibration signal for machine incipient fault detection. Measurement Science and Technology. 23: 055604 (11pp).
  • Liu, J., Wang, W., Ma, F., Yang, Y.B., and Yang, C.S. (2012) A data-model-fusion prognostic framework for dynamic system state forecasting. Engineering Applications of Artificial Intelligence. 25: 814-823.
  • Liu, J., Wang, W., and Ma, F. (2011) Bearing system health condition monitoring using a wavelet cross-spectrum analysis technique. Journal of Vibration and Control. 18: 953-963.
  • Liu, J., Wang, W., and Ma, F. (2011) A regularized auxiliary particle filtering approach for system state estimation and battery life prediction. Smart Materials and Structures. 20: 1-9.
  • Liu, J., Wang, W., Golnaraghi, F., and Kubica, E. (2010) A novel fuzzy framework for nonlinear system control. Fuzzy Sets and Systems. 161: 2746-2759.
  • Liu, J., Wang, W., Golnaraghi, F., and Kubica, E. (2010) A neural fuzzy framework for system mapping applications. Knowledge-Based Systems. 23: 572-579.
  • Liu, J., Wang, W., Golnaraghi, F. (2010) An enhanced diagnostic scheme for bearing condition monitoring. IEEE Transactions on Instrumentation and Measurement. 59: 309-321.
  • Liu, J., and Liu, K. (2010) Application of an active electromagnetic vibration absorber in vibration suppression. Structural Control and Health Monitoring. 17: 278-300.
  • Liu, J., Wang, W., Golnaraghi, F. (2009) A multi-step predictor with a variable input pattern for system state forecasting. Mechanical Systems and Signal Processing. 23: 1586-1599.
  • Liu, J., Wang, W., Golnaraghi, F., and Liu, K. (2008) Wavelet spectrum analysis for bearing fault diagnostics. Measurement Science and Technology. 19: 1-9.
  • Liu, J., Wang, W., Golnaraghi, F. (2008) An extended wavelet spectrum for bearing fault diagnostics. IEEE Transactions on Instrumentation and Measurement. 57: 2801-2812.
  • Liu, J., and Liu, K. (2006) A tunable electromagnetic vibration absorber: characterization and application. Journal of Sound and Vibration. 295: 708-724.
  • Liu, K., and Liu, J. (2005) The damped dynamic vibration absorbers: revisited and new result. Journal of Sound and Vibration. 284: 1181-1189.

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