A bearing performance parameter multi-source heterogeneous data fusion method, system, computing device and storage medium

By performing time synchronization, scale unification, noise filtering, and drift correction on multi-source heterogeneous data of wind turbine main shaft bearings, a virtual spatial load envelope is constructed and weighted fusion is performed, which solves the problems of frequency inconsistency and dimensional scale in multi-source data fusion and achieves accurate assessment of the bearing mechanical state.

CN122451807APending Publication Date: 2026-07-24NINGBO HIGH GEAR-RKB BEARRINGS CO LTD
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Patent Information

Application Number
CN202610743608.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-27
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies for multi-source heterogeneous data fusion in wind turbine main shaft bearings suffer from inconsistent acquisition frequencies, significant differences in dimensional scales, strong electromagnetic interference, and temperature drift, leading to disordered data fusion benchmarks and making it impossible to accurately characterize the actual mechanical state and performance degradation trend of the bearings.

Method used

By processing multi-source data through time synchronization and scale unification, noise filtering and drift correction are performed in combination with on-site working conditions. A virtual irregular spatial load envelope is constructed by locating key anchor points. Dynamic mechanical response is analyzed based on static geometric tolerance constraints. Spatial pose compensation parameters are extracted and weighted fusion is performed.

Benefits of technology

It achieves unified multi-source data benchmarks, truly reflects the bearing operating characteristics, accurately characterizes the spatial distribution of loads, eliminates mechanical deformation interference, and obtains accurate fusion results of bearing operating mechanical properties.

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Abstract

The application provides a bearing performance parameter multi-source heterogeneous data fusion method and system, a computing device and a storage medium, relates to the rolling bearing performance evaluation technical field, and the method comprises the following steps: acquiring multi-source heterogeneous original performance parameter data collected in the operation process of a wind power main shaft bearing; in view of the differences in the collection frequency and the dimensional scale of the multi-source heterogeneous original performance parameter data, time-synchronized and scale-unified reference data sequences are obtained; based on the reference data sequences, in combination with the strong electromagnetic interference in the wind power field and the outdoor environment temperature variation working condition characteristics, scene noise filtering and drift correction processing are performed on the vibration signals and temperature data in the reference data sequences, and pure multi-source data streams after denoising and correction are obtained. The application realizes accurate adaptation and efficient fusion of multi-source heterogeneous data.
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