Three-Dimensional Identification for Unbalanced Mass of Rotor Systems in Operation
Source abstract
Abstract
Unbalanced mass identification is important for rotor systems. Current methods normally use sensors, which only detect vibration in two-dimensional (2D) space. Actually, the rotor systems vibrate in three-dimensional directions. In this paper, a non-contact method is developed to identify unbalanced mass of rotor systems in 3D space. A stereo video system with a pair of synchronized high-speed cameras is established and a feature point is employed to replace traditional contact transducer for measurement. Checkerboard target on a vibration table is used to implement dynamic calibration. The proposed method is compared with eddy current method and laser displacement method. The comparison experiments verify the detection ability of the unbalanced mass for the proposed method. Overall, the proposed method can provide more information than 2D detection methods, which has the great potential for fault diagnosis of rotating machinery.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Measurement and Detection Methods · Image and Object Detection Techniques · Image Processing Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, No. 193 Tunxi Road, Hefei 230009, China
Funding
National Natural Science Foundation of China · Fundamental Research Funds for the Central Universities
References (35)
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