Work

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

Year: 2024

Type: article

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.

Source: Sensors

DOI: 10.3390/s24185992

Authors: Zhenggang Guo, Feng Lu, Tizhao Jiao, Jingqi Yu, Fu Chang

Institution: Dalian University of Technology

Language: English

Topic: Advanced Measurement and Metrology Techniques

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,955

Funder: National Key Research and Development Program of China