Uncertainty Analysis of a Multi-Sensor Fusion Measurement Chain for Blade Collision Warning in Coaxial Twin-Rotor Helicopters
A coaxial twin-rotor helicopter features a compact structure by eliminating the tail rotor. Although offering advantages in lift capability and maneuverability, the design presents challenges from its mechanical complexity and the aerodynamic interference between the counter-rotating rotors. During blade intersection, the collision risk of the blades depends not only on the blade-tip distance, but also on the intersection phase and the blade-tip position. In our study, we defined a blade collision warning parameter, d, to represent a fused safety clearance in coaxial twin-rotor helicopters, and proposed a correlated uncertainty propagation model for the measurement chain. The proposed model incorporates uncertainty sources from radar ranging, phase determination, geometric consistency, phase-synchronized triggering, sensor-point substitution, and model discrepancy through covariance terms. Experimental validation is performed on a single-rotor blade-intersection platform under controlled conditions. With the simulated blade rotated at 420 r/min, the combined standard uncertainty ranges from 0.677 to 0.996 mm over the reference warning parameter range of 99–990 mm. The event-level residual-compatibility rate is 86.8%, with localized non-compatibility observed at several reference points. Additional tests at 300 and 600 r/min demonstrated millimeter-level stability. Our uncertainty analysis identified radar ranging as the dominant contributor, followed by model discrepancy and sensor-point substitution uncertainty.
Authors
- Zurong Qiu (ORCID: https://orcid.org/0000-0003-0919-0480)
- Wenchuan Hu (ORCID: https://orcid.org/0000-0002-9337-8955)
- Zhen Qiu (ORCID: https://orcid.org/0000-0002-6219-7158)
- Yongqiang Qiu (ORCID: https://orcid.org/0000-0003-0266-1294)
- Zewen Dong (ORCID: https://orcid.org/0000-0002-8942-1076)
- Wenjie Zheng
Institutions
- Tianjin University of Technology and Education (CN)
- Tianjin University (CN)
- University of Greater Manchester (GB)
- Liverpool John Moores University (GB)
Publication Details
- Journal
- Sensors
- Published
- 2026-08-27
- DOI
- https://doi.org/10.3390/s26175426
- Primary Topic
- Bladed Disk Vibration Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China