Supplementary Materials for the article: Multi-operating condition pattern recognition of centrifugal pump impeller hydraulic radial force based on multi-dimensional features and hierarchical clustering.
DOI: 10.4121/12e73a6e-10bd-4e58-b24a-4c6b1912247b
Datacite citation style
Dataset
Supplementary data for the article: "Multi-operating condition pattern recognition of centrifugal pump impeller hydraulic radial force based on multi-dimensional features and hierarchical clustering". This dataset includes supplementary matlab source code. This article proposes an unsupervised learning framework through Pearson correlation analysis and the clustering hierarchical Clustering (AHC) algorithm, providing a data-driven approach for the hydraulic optimization and intelligent diagnosis of centrifugal pumps. It reveals the multi-condition classification mode of hydraulic radial force, which has engineering significance for improving equipment reliability and operational efficiency.
History
- 2025-07-07 first online, published, posted
Publisher
4TU.ResearchDataFormat
Matlab/.mOrganizations
Xiangtan University, School of Mechanical Engineering and MechanicsDATA
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Supplementary Materials.zip