AI-Enabled Monitoring,Diagnosis & Prognosis

• 作者: Ruqiang Yan Xuefeng Chen Weihua Li Robert X.Gao
• 来源期刊: 中国机械工程学报
• 年，卷（期）: 2021,（3）
• 所属期刊栏目: Special Issue on AI-Enabled Monitoring Diagnosis & Prognosis
• 页码范围: 1-2
• 页数: 2页
• 语种: 英文

摘要

The emerging and development of Artificial Intelligence(AI),especially deep learning,has stimulated its applica-tion in various engineering domains.Monitoring,diag-nosis and prognosis,as the key elements of intelligence maintenance of manufacturing systems in the era of Industry 4.0,has also benefited from the advancement of AI technology.The main objective of this special issue aims at bringing scholars to show their research findings in the field of monitoring,diagnosis and prognosis driven by AI,and promote its application in intelligent main-tenance of manufacturing system in China.Ten papers have been selected in this special issue after rigorous review and they represent the latest research outcomes in this active area.