cff-version: 1.2.0
abstract: "<p>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.</p>"
authors:
  - family-names: Zhang
    given-names: Hehui
  - family-names: Li
    given-names: Kang
    orcid: "https://orcid.org/0009-0008-2306-509X"
  - family-names: Liu
    given-names: Ting
  - family-names: Liu
    given-names: Yichu
  - family-names: Hu
    given-names: Jianxin
  - family-names: Zuo
    given-names: Qingsong
  - family-names: Jiang
    given-names: Liangxing
title: "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."
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/12e73a6e-10bd-4e58-b24a-4c6b1912247b.v1
license: CC BY 4.0
date-released: 2025-07-07