Rotating Machinery Condition Monitoring
Versión 1.0.0 (187 MB) por
Peng Sun
This code is used to construct a novel health index for rotating machinery
1. The Fea_Extraction_Symmetry.m code is used for preprocessing and feature extraction from raw vibration data. Due to the large volume of data, running this code is generally not recommended. Instead, we have pre-extracted the features for users, which are named test3_bearing3.mat.
2. In practical implementation, it is recommended to first run the model_training.m code, which is used for model training on the extracted features. After running the aforementioned code, one can directly run the model_inference.m code to obtain the final trend curve that includes alarm time points.
Citar como
Sun P, Peng J, Liao Y, et al. Health index construction via symmetric Mel-scale frequency segmentation and non-parametric statistical model for bearing condition monitoring[J]. Applied Acoustics, 2025, 231: 110459.
Compatibilidad con la versión de MATLAB
Se creó con
R2020a
Compatible con cualquier versión
Compatibilidad con las plataformas
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状态监测
| Versión | Publicado | Notas de la versión | |
|---|---|---|---|
| 1.0.0 |
