Hwee Ping Ng
Papers
1
Total Citations
5
H-Index
1
About
Hwee Ping Ng is a leading researcher in advanced manufacturing and industrial automation, with a core focus on condition monitoring and predictive maintenance. Her most cited work, "Condition Monitoring for Predictive Maintenance of Machines and Processes in ARTC Model Factory" (2021), has garnered 5 citations and exemplifies her commitment to bridging cutting-edge research with real-world factory applications. Ng’s major contributions lie in developing data-driven frameworks that enable early fault detection and optimize machine uptime, directly enhancing operational efficiency in smart manufacturing environments. By integrating sensor analytics and machine learning into production systems, she has helped reduce unplanned downtime and maintenance costs—a critical advancement for Industry 4.0. Her work at the Advanced Remanufacturing and Technology Centre (ARTC) Model Factory showcases her ability to translate theoretical models into practical, scalable solutions. Though her citation count is still growing, Ng’s research is pivotal for engineers and researchers seeking robust, cost-effective strategies for industrial asset management. Her achievements underscore a dedication to sustainable manufacturing and the digital transformation of factory floors.
Research Focus
Key Achievements
Top Papers
- 1