{"id":56,"date":"2020-05-11T21:26:07","date_gmt":"2020-05-12T01:26:07","guid":{"rendered":"https:\/\/carleton.ca\/phm\/?page_id=56"},"modified":"2020-05-12T00:26:27","modified_gmt":"2020-05-12T04:26:27","slug":"referred-journal-papers","status":"publish","type":"page","link":"https:\/\/carleton.ca\/phm\/referred-journal-papers\/","title":{"rendered":"Journal Papers"},"content":{"rendered":"<ul>\n<li>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. <em>International Journal of Energy Research<\/em>. Accepted for publication.<\/li>\n<li>Wang, T., Liu, Z., Lu, G.L., and Liu, J. (2020) Temporal-spatio graph based spectrum analysis for bearing fault detection and diagnosis. <em>IEEE Transactions on Industrial Electronics<\/em>. Accepted for publication.<\/li>\n<li>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. <em>Measurement<\/em>. 154: 1-8.<\/li>\n<li>Zhang, C.L., Wan, F.Y., and Liu, J. (2019) Outlier Detection for Monitoring Data using Stacked Autoencoder. <em>IEEE Access<\/em>. 7: 173827-173837.<\/li>\n<li>Zhao, R., Liu, J., and Ma, F. (2019) Development of a Novel Health Monitoring and Life Prognostics System for Industrial Bearings. <em>ASME: Journal of Electrochemical Energy Conversion and Storage<\/em>. Accepted for publication.<\/li>\n<li>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. <em>IEEE Access<\/em>. 7: 139118-139130.<\/li>\n<li>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. <em>Measurement<\/em>. 146: 467-478.<\/li>\n<li>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. <em>ISA Transactions<\/em>. 94: 294-306.<\/li>\n<li>Hanachi, H., Liu, J., Ding, P., Kim, II.Y., and Mechefske, C.K. (2018) Predictive compressor wash optimization fofr economic operation of gas turbine. <em>ASME: Journal of Engineering for Gas Turbines and Power<\/em>. 140: 121006-1\/11.<\/li>\n<li>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. <em>International Journal of Advanced Manufacturing Technology<\/em>. 101: 2861-2872.<\/li>\n<li>Hanachi, H., Liu, J., Kim, IL Y., and Mechefske, C.K. (2018) Hybrid sequential fault estimation for multi-mode diagnosis of gas turbine engines. <em>Mechanical Systems and Signal Processing<\/em>. 115: 255-268.<\/li>\n<li>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<em>. IEEE Transactions on Reliability<\/em>. 68: 1034-1049.<\/li>\n<li>Zhao, R., Gu, J., and Liu, J. (2018) Performance assessment of a passive core cooling design for cylindrical lithium-ion batteries. <em>International Journal of Energy Research<\/em>. 42:2728-2740.<\/li>\n<li>Hanachi, H., Mechefske, C., Liu, J., Banerjee, A., and Chen, Y. (2018) Performance-based gas turbine health monitoring: a survey. <em>IEEE Transactions on Reliability. <\/em>67(3): 1340-1363.<\/li>\n<li>Hanachi, H., Liu, J., and Mechefske, C. (2018) Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system. <em>Chinese Journal of Aeronautics (Elsevier)<\/em>. 31(1): 1-9.<\/li>\n<li>Lu, G., Liu, J., and Yan, P. (2018) Graph-based structural change detection for rotating machinery monitoring. <em>Mechanical Systems and Signal Processing<\/em>. 99: 73-82.<\/li>\n<li>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. <em>Applied Intelligence<\/em>. 1-11.<\/li>\n<li>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. <em>Energy<\/em>. 135: 811-822.<\/li>\n<li>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. <em>Materials Science &amp; Engineering A<\/em>. 706: 279-286.<\/li>\n<li>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. <em>Materials Science &amp; Engineering A<\/em>. 689: 345-352.<\/li>\n<li>Zhao, R., Liu, J., and Gu, J. (2017) A comprehensive study on Li-ion battery nail penetrations and the possible solutions.<em> Energy<\/em>. 123: 392-401.<\/li>\n<li>Wang, T., Lu, G.L., Liu, J., and Yan, P. (2017) Adaptive change detection for long-term machinery monitoring using incremental sliding-window. <em>Chinese Journal of Mechanical Engineering<\/em>. 30: 1338-1346.<\/li>\n<li>Ji, Y., Liu, J., and Chang, C.S. (2017) Novel modeling and dynamic simulation of magnetic tunnel junctions for spintronic sensor development. <em>Journal of Physics D: Applied Physics.<\/em> 50: 1-11.<\/li>\n<li>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. <em>Chemical Engineering Communications<\/em>. 204: 265-282.<\/li>\n<li>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. <em>Applied Intelligence<\/em>. 46: 227-239.<\/li>\n<li>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. <em>International Journal of Energy Research<\/em>. 40: 1085-1092.<\/li>\n<li>Zhao, R., Liu, J., and Gu, J. (2016) Simulation and experimental study on lithium ion battery short circuit. <em>Applied Energy<\/em>. 173: 29-39.<\/li>\n<li>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. <em>Mechanical Systems and Signal Processing<\/em>. 72: 32-45.<\/li>\n<li>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. <em>Journal of Power Sources<\/em>. 299(20): 557-577.<\/li>\n<li>Hanachi, H., Liu, J., Banerjee, A., and Chen, Y. (2015) Effects of humidity condensation on the trend of gas turbine performance deterioration. <em>ASME<\/em>: <em>Journal of Engineering for Gas Turbines and Power<\/em>. 137(12): 1-11.<\/li>\n<li>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. <em>Energy and Buildings<\/em>. 93: 154-159.<\/li>\n<li>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. <em>Measurement Science and Technology<\/em>. 26(6): 1-12.<\/li>\n<li>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. <em>Journal of Power Sources<\/em>. 273: 1089-1097.<\/li>\n<li>Zhao, R., Liu, J., and Gu, J. (2015) The effects of electrode thickness on the electrochemical and thermal characteristics of lithium ion battery. <em>Applied Energy<\/em>. 139: 220-229.<\/li>\n<li>Hanachi, H., Liu, J., Banerjee, A., Chen, Y., and Koul, A. (2014) A physics-based modeling approach for performance monitoring in gas turbine engines. <em>IEEE Transactions on Reliability<\/em>. 64(1): 197-205.<\/li>\n<li>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<em>. Energy &amp; Environmental Science<\/em>. 7: 2535-2558.<\/li>\n<li>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. <em>Journal of Power Sources<\/em>. 266: 422-432.<\/li>\n<li>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. <em>Materials &amp; Design<\/em>. 60: 424-432.<\/li>\n<li>Zhang, S.J., Zhao, R., Liu, J., and Gu, J. (2014) Investigation on a hydrogel based passive thermal management system for lithium ion batteries. <em>Energy<\/em>. 68: 854-861.<\/li>\n<li>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. <em>Journal of Power Sources<\/em>. 255: 29-36.<\/li>\n<li>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. <em>Journal of Materials Engineering and Performance<\/em>. 23(4): 1223-1230.<\/li>\n<li>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. <em>Neural Computing and Applications<\/em>. 25(4): 557-572.<\/li>\n<li>Hanachi, H., Liu, J., Banerjee, A., Koul, A., Liang, M., and Alavi, E. (2012) Bladed disc crack diagnostics using blade passage signals. <em>Measurement Science and Technology<\/em>. 23: 125003 (8pp).<\/li>\n<li>Liu, J. (2012) Shannon wavelet spectrum analysis on truncated vibration signal for machine incipient fault detection. <em>Measurement Science and Technology<\/em>. 23: 055604 (11pp).<\/li>\n<li>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. <em>Engineering Applications of Artificial Intelligence<\/em>. 25: 814-823.<\/li>\n<li>Liu, J., Wang, W., and Ma, F. (2011) Bearing system health condition monitoring using a wavelet cross-spectrum analysis technique. <em>Journal of Vibration and Control<\/em>. 18: 953-963.<\/li>\n<li>Liu, J., Wang, W., and Ma, F. (2011) A regularized auxiliary particle filtering approach for system state estimation and battery life prediction. <em>Smart Materials and Structures<\/em>. 20: 1-9.<\/li>\n<li>Liu, J., Wang, W., Golnaraghi, F., and Kubica, E. (2010) A novel fuzzy framework for nonlinear system control. <em>Fuzzy Sets and Systems<\/em>. 161: 2746-2759.<\/li>\n<li>Liu, J., Wang, W., Golnaraghi, F., and Kubica, E. (2010) A neural fuzzy framework for system mapping applications. <em>Knowledge-Based Systems<\/em>. 23: 572-579.<\/li>\n<li>Liu, J., Wang, W., Golnaraghi, F. (2010) An enhanced diagnostic scheme for bearing condition monitoring. <em>IEEE Transactions on Instrumentation and Measurement<\/em>. 59: 309-321.<\/li>\n<li>Liu, J., and Liu, K. (2010) Application of an active electromagnetic vibration absorber in vibration suppression. <em>Structural Control and Health Monitoring<\/em>. 17: 278-300.<\/li>\n<li>Liu, J., Wang, W., Golnaraghi, F. (2009) A multi-step predictor with a variable input pattern for system state forecasting. <em>Mechanical Systems and Signal Processing<\/em>. 23: 1586-1599.<\/li>\n<li>Liu, J., Wang, W., Golnaraghi, F., and Liu, K. (2008) Wavelet spectrum analysis for bearing fault diagnostics. <em>Measurement Science and Technology<\/em>. 19: 1-9.<\/li>\n<li>Liu, J., Wang, W., Golnaraghi, F. (2008) An extended wavelet spectrum for bearing fault diagnostics. <em>IEEE Transactions on Instrumentation and Measurement<\/em>. 57: 2801-2812.<\/li>\n<li>Liu, J., and Liu, K. (2006) A tunable electromagnetic vibration absorber: characterization and application. <em>Journal of Sound and Vibration<\/em>. 295: 708-724.<\/li>\n<li>Liu, K., and Liu, J. (2005) The damped dynamic vibration absorbers: revisited and new result. <em>Journal of Sound and Vibration<\/em>. 284: 1181-1189.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>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 [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Journal Papers - Research on Prognostics and Health Management<\/title>\n<meta name=\"description\" content=\"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.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/carleton.ca\/phm\/referred-journal-papers\/\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/carleton.ca\/phm\/referred-journal-papers\/\",\"url\":\"https:\/\/carleton.ca\/phm\/referred-journal-papers\/\",\"name\":\"Journal Papers - Research on Prognostics and Health Management\",\"isPartOf\":{\"@id\":\"https:\/\/carleton.ca\/phm\/#website\"},\"datePublished\":\"2020-05-12T01:26:07+00:00\",\"dateModified\":\"2020-05-12T04:26:27+00:00\",\"description\":\"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.\",\"breadcrumb\":{\"@id\":\"https:\/\/carleton.ca\/phm\/referred-journal-papers\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/carleton.ca\/phm\/referred-journal-papers\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/carleton.ca\/phm\/referred-journal-papers\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/carleton.ca\/phm\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Journal Papers\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/carleton.ca\/phm\/#website\",\"url\":\"https:\/\/carleton.ca\/phm\/\",\"name\":\"Research on Prognostics and Health Management\",\"description\":\"ÐÓ°ÉÔ­´´ University\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/carleton.ca\/phm\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Journal Papers - Research on Prognostics and Health Management","description":"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.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/carleton.ca\/phm\/referred-journal-papers\/","twitter_misc":{"Est. reading time":"8 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/carleton.ca\/phm\/referred-journal-papers\/","url":"https:\/\/carleton.ca\/phm\/referred-journal-papers\/","name":"Journal Papers - Research on Prognostics and Health Management","isPartOf":{"@id":"https:\/\/carleton.ca\/phm\/#website"},"datePublished":"2020-05-12T01:26:07+00:00","dateModified":"2020-05-12T04:26:27+00:00","description":"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.","breadcrumb":{"@id":"https:\/\/carleton.ca\/phm\/referred-journal-papers\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/carleton.ca\/phm\/referred-journal-papers\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/carleton.ca\/phm\/referred-journal-papers\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/carleton.ca\/phm\/"},{"@type":"ListItem","position":2,"name":"Journal Papers"}]},{"@type":"WebSite","@id":"https:\/\/carleton.ca\/phm\/#website","url":"https:\/\/carleton.ca\/phm\/","name":"Research on Prognostics and Health Management","description":"ÐÓ°ÉÔ­´´ University","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/carleton.ca\/phm\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"}]}},"acf":{"banner_image_type":"none","banner_button":"no"},"_links":{"self":[{"href":"https:\/\/carleton.ca\/phm\/wp-json\/wp\/v2\/pages\/56"}],"collection":[{"href":"https:\/\/carleton.ca\/phm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/carleton.ca\/phm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/phm\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/phm\/wp-json\/wp\/v2\/comments?post=56"}],"version-history":[{"count":3,"href":"https:\/\/carleton.ca\/phm\/wp-json\/wp\/v2\/pages\/56\/revisions"}],"predecessor-version":[{"id":95,"href":"https:\/\/carleton.ca\/phm\/wp-json\/wp\/v2\/pages\/56\/revisions\/95"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/phm\/wp-json\/wp\/v2\/media?parent=56"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}