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- Title
Research on consumption prediction of spare parts based on fuzzy C-means clustering algorithm and fractional order model.
- Authors
Yukun Chen; Qi Gao; Xiaobo Su; Chenchen Yu
- Abstract
In order to achieve the non-stationary de-noising signal effectively, and to solve the prediction of less sample, a hybrid model composed of FCCA (Fuzzy C-means clustering algorithm) and FOM (Fractional Order Model) was constructed. The degree of each data point was determined by FCCA to de-noise and the p order cumulative matrix was extended to r fractional cumulative matrix, so that the fractional order cumulative grey model was established to make forecasting. The results of numerical example showed that the hybrid model can obtain better prediction accuracy.
- Subjects
SPARE parts; FUZZY algorithms; PREDICTION models; SIGNAL denoising; FUZZY clustering technique
- Publication
Vibroengineering Procedia, 2017, Vol 16, p129
- ISSN
2345-0533
- Publication type
Article
- DOI
10.21595/vp.2017.19465