08/05/2026
⚙️ JMechE Weekly Sharing – Vol. 23(1) 2026
Category: Automotive Engineering & Data Science
Lead author: C. H. Chin (UKM Bangi)
How can engineers predict the durability of automotive suspension systems more efficiently? 🚗📊
This study applied wavelet-based signal processing techniques to identify fatigue-damaging load segments in automobile coil springs under different road conditions.
🔹 Highlights:
✅ Applied wavelet analysis to identify fatigue-relevant loading signals.
✅ Reduced unnecessary signal components for more efficient fatigue analysis.
✅ Improved durability assessment of automobile coil springs under random road excitations.
✅ Demonstrated the effectiveness of fatigue data editing and signal reconstruction techniques.
Conclusion:
Wavelet-based fatigue analysis offers a promising approach for improving durability prediction and accelerating automotive component assessment.
Read more:https://ir.uitm.edu.my/id/eprint/129752/1/129752.pdf