Error Analysis and Modeling of a Large Component Assembly Monitoring System Based on Multi-Sensor Fusion

Sensors (Basel). 2024 Sep 15;24(18):5992. doi: 10.3390/s24185992.

Abstract

Large components are crucial in modern industrial applications, especially for internal gap monitoring and specific assembly methods. This paper examines the assembly of hydroelectric generator rotors and stators, introducing a spatial relative position monitoring system using multiple sensors. A dedicated position monitoring program is designed, and error sources within the system are thoroughly explored. Detailed error analysis and modeling reveal that verticality and angular errors significantly impact monitoring accuracy. To address this, two error control methods are proposed to effectively mitigate these issues, ensuring precise assembly of large components.

Keywords: error analysis and modeling; hydroelectric generator rotor and stator; large components; multi-sensor; relative position in space.

Grants and funding

This research was funded by National Key Research and Development Program of China, grant number 2022YFC3800167.