Binda Huang

Mr. Binda Huang


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 October 2023 in International Journal of Control, Automation, and Systems
Verified
Journal Article
Closed access
PDF file
Bin JiangBin Jiang
Bin Jiang
YMYajie Ma
Yajie Ma
LCLijun Chen
Lijun Chen
BHBinda Huang
Binda Huang
YHYuying Huang
Yuying Huang
LGLi Guan
Li Guan

2 December 2024 in Machines
Verified
Journal Article
Open access
PDF file
GLGaoqun Liu
Gaoqun Liu
YWYufeng Wang
Yufeng Wang
BHBinda Huang
Binda Huang
WDWenfeng Ding
Wenfeng Ding
Thin-walled components are extensively utilized in the aviation, aerospace, shipping, and nuclear energy industries due to their advantages of being lightweight and easily integrated. With an increased design quality and complexity of structures, thin-walled components have rendered traditional offline machining state prediction techniques inadequate for meeting the rising demands for machining quality. In recent years, advancements in intelligent manufacturing have led to the emergence of intelligent monitoring technologies that offer new solutions for enhancing the machining quality. This review categorizes technologies into online signal collection, state recognition, and intelligent decision-making, based on the implementation processes of intelligent monitoring. It summarizes the roles and current development status of various technologies within intelligent monitoring and outlines the existing challenges associated with each technology. Finally, the review discusses the challenges and future development trends of intelligent monitoring technology.