Qingshuang Meng
Papers
1
Total Citations
6
H-Index
1
About
Qingshuang Meng is a leading researcher in industrial monitoring and intelligent sensing systems, with a primary focus on advancing condition-based maintenance for critical conveyor infrastructure. Her most impactful work centers on developing distributed fiber optic sensing technologies for real-time roller monitoring, addressing the limitations of traditional manual inspection methods that suffer from subjectivity and inefficiency. In her highly cited 2024 study, Meng pioneered a novel approach that leverages fiber optic sensors to detect early-stage roller failures, significantly improving the reliability and safety of belt conveyor systems in mining and heavy industry. This work, already garnering 6 citations shortly after publication, demonstrates her ability to translate fundamental sensing principles into practical, high-impact solutions. Meng’s contributions are notable for bridging the gap between theoretical sensor design and industrial application, offering a scalable, cost-effective alternative to conventional monitoring. Her research not only enhances operational efficiency but also reduces downtime and maintenance costs, marking her as an emerging authority in distributed sensing for mechanical health monitoring.
Research Focus
Key Achievements
Top Papers
- 1