{"id":5160,"date":"2026-01-30T06:23:09","date_gmt":"2026-01-30T06:23:09","guid":{"rendered":"https:\/\/cognitionconferences.com\/robotics\/?post_type=speaker&p=5160"},"modified":"2026-01-30T07:26:12","modified_gmt":"2026-01-30T07:26:12","slug":"xiaomo-jiang","status":"publish","type":"speaker","link":"https:\/\/cognitionconferences.com\/robotics\/speaker\/xiaomo-jiang\/","title":{"rendered":"Xiaomo Jiang"},"content":{"rendered":"

ABSTRACT<\/strong>
\nAs the global leader in both installed wind power capacity and turbine quantity, China is witnessing megawatt-class wind turbines emerge as pivotal enablers in building its new energy ecosystem under the “Dual Carbon” strategic framework. AI and robtostic technology, serving as a transformative digital solution for full lifecycle management of large-scale energy equipment, drives cross-domain innovations spanning dynamic simulation, model-driven design, intelligent manufacturing, optimized control, and predictive operation and maintenance (O&M). This presentation explores cutting-edge advancements in autonomous maintenance for offshore wind turbines, integrating artificial intelligence (AI) and robotic systems to overcome the high costs, safety risks, and logistical\u00a0 challenges of traditional methods. Key innovations include remote monitoring, AI-enabled autonomous vehicles and remotely operated vehicles (ROVs) capable of performing precise inspections, cleaning, and repairs in turbulent ocean environments. Concurrently, AI-driven predictive maintenance frameworks\u2014using data-physics hybrid models like multi-task Gassian process and physics-informed neural networks\u2014integrate physics, SCADA and sensor data to detectcomponent anomalies (e.g., bearing failures) up to 7 days in advance, optimizing intervention timing. These systems leverage machine learning algorithms and 3D semantic mapping to stabilize operations amid currents, navigate complex structures, and execute tasks such as blade defect remediation with minimal human intervention. Together, these intelligence and robotic solutions enhance turbine reliability, slash operational costs, and mitigate safety hazards, positioning autonomous systems as pivotal for sustainable offshore wind expansion.<\/p>\n","protected":false},"featured_media":5029,"template":"","meta":{"_acf_changed":false},"schedule":[],"speaker-category":[],"class_list":["post-5160","speaker","type-speaker","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nXiaomo Jiang - Cognition Conferences<\/title>\n<meta name=\"description\" content=\"BiographyXiaomo Jiang earned his PhD from The Ohio State University in 2005 and currently is a distinguishedprofessor of Energy and Power Engineering at Dalian University of Technology, where he serves asDirector of the Provincial Key Lab of Digital Twin for Industrial Equipment and the Institute forCarbon Neutrality. His research focuses on smart maintenance, digital twin and AI4Science in largeturbomachinery under uncertainties. He has co-authored over 100 papers, 1 book, and over 30 patents.His work has earned him consistent recognition as an Elsevier Highly Cited Chinese Researcher anda Top 2% Most-Cited Scientist Worldwide (Stanford).\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cognitionconferences.com\/robotics\/speaker\/xiaomo-jiang\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Xiaomo Jiang - Cognition Conferences\" \/>\n<meta property=\"og:description\" content=\"BiographyXiaomo Jiang earned his PhD from The Ohio State University in 2005 and currently is a distinguishedprofessor of Energy and Power Engineering at Dalian University of Technology, where he serves asDirector of the Provincial Key Lab of Digital Twin for Industrial Equipment and the Institute forCarbon Neutrality. His research focuses on smart maintenance, digital twin and AI4Science in largeturbomachinery under uncertainties. He has co-authored over 100 papers, 1 book, and over 30 patents.His work has earned him consistent recognition as an Elsevier Highly Cited Chinese Researcher anda Top 2% Most-Cited Scientist Worldwide (Stanford).\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cognitionconferences.com\/robotics\/speaker\/xiaomo-jiang\/\" \/>\n<meta property=\"og:site_name\" content=\"Cognition Conferences\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-30T07:26:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cognitionconferences.com\/robotics\/wp-content\/uploads\/2026\/01\/Xiaomo-Jiang-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1719\" \/>\n\t<meta property=\"og:image:height\" content=\"2560\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/cognitionconferences.com\/robotics\/speaker\/xiaomo-jiang\/\",\"url\":\"https:\/\/cognitionconferences.com\/robotics\/speaker\/xiaomo-jiang\/\",\"name\":\"Xiaomo Jiang - Cognition Conferences\",\"isPartOf\":{\"@id\":\"https:\/\/cognitionconferences.com\/robotics\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/cognitionconferences.com\/robotics\/speaker\/xiaomo-jiang\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/cognitionconferences.com\/robotics\/speaker\/xiaomo-jiang\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/cognitionconferences.com\/robotics\/wp-content\/uploads\/2026\/01\/Xiaomo-Jiang-scaled.jpg\",\"datePublished\":\"2026-01-30T06:23:09+00:00\",\"dateModified\":\"2026-01-30T07:26:12+00:00\",\"description\":\"BiographyXiaomo Jiang earned his PhD from The Ohio State University in 2005 and currently is a distinguishedprofessor of Energy and Power Engineering at Dalian University of Technology, where he serves asDirector of the Provincial Key Lab of Digital Twin for Industrial Equipment and the Institute forCarbon Neutrality. 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