High-speed rotating mechanism based on multi-sensor data fusion end face displacement determination method

• Published in: AIP advances Vol. 14; no. 7; pp. 075317 - 075317-19
• Main Authors: Li, Chi, Liang, Weige, Zhang, Yu, Wang, Qingshan, Sun, Shiyan, Zhang, Yiqun
• Format: Journal Article
• Language: English
• Published: Melville American Institute of Physics 01.07.2024; AIP Publishing LLC
• Subjects: Actuators; Algorithms; Data integration; Design optimization; Error analysis; Frequency domain analysis; High speed; Layouts; Multisensor fusion; Rotating machinery; Rotation; Sensors; Test methods; Vibration measurement
• DOI: 10.1063/5.0197778
• ISSN: 2158-3226

As a type of transmission actuator commonly used in mechanical structures, high-speed rotary mechanisms are widely used in the machinery, energy, civil engineering, and military industries. The main working part of the mechanism is the end face, and the vibration characteristics of the end face directly affect the accuracy and completeness of the whole mechanism. In terms of performance, the end face vibration characteristics reflect the degree of change in the machine’s end face displacement. The traditional end face displacement test method uses a single contact sensor for measurement, but the degree of error in the system is large. It is also difficult to adapt this method to the current high-precision working conditions under the requirements for accurate vibration prediction and control technology. Therefore, this work proposes a test method based on multi-sensor acquisition and data fusion, using different sensors to form a sensor test network. It seeks to address the limitations of the conventional test method that relies on a single-frequency domain, using high-frequency domain impact signals, medium-frequency domain vibration signals, and low-frequency domain rotational speed signals for multi-sensor data fusion to achieve a complete high-speed rotating mechanism with a particular focus on full-area coverage. In order to better obtain the test data, the sensor layout network is optimized through the optimization design method, and the optimal sensor installation scheme is proposed. Finally, the data fusion algorithm and sensor layout scheme are experimentally verified with a typical high-speed rotating mechanism.