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.

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 7 juli 2025
Wat erin zit
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.
Bestanden en diensten
- DataCite REST API (JSON)api.datacite.orgOpenen
Vergelijkbare datasets
Data underlying the article: A Strategy for Material Characterisation of Multi-wythe Masonry Infrastructure: Preliminary Study4TU.ResearchDataSupplementary material for "Quo-vadis multi-agent automotive research"4TU.ResearchDataSupplementary material MSc thesis 'The cost of comfort: waking up to furniture waste; researching material use in European household furniture using dynamic stock analysis'4TU.ResearchDataMaterial and social deprivation rate by age, sex and group of citizenshipEurostatMaterial deprivation for the 'Economic strain' dimension, by number of item of deprivationEurostatMaterial and social deprivation rate by income quintile and household typeEurostatMaterial and social deprivation rate by age, sex and educational attainment levelEurostatMaterial and social deprivation rate by age, sex and group of country of birthEurostat
Meer van 4TU.ResearchData6.749 datasets
Code for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"Data underlying Chapter 3 of the PhD thesis: Organic acids and bipolar membrane electrodialysis for enhanced ammonia recovery from scrubber effluents.Research Data and Code Supporting the PhD Dissertation: Learning Interpretable Robot Dynamics for Control — From Physical Structure to Latent CoordinatesData for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"Data and scripts underlying the dissertation: Sodium Borohydride as Granular fuel: Experimental Characterisation and DEM ModellingData underlying Chapter 5 of the PhD thesis: Organic acids and bipolar membrane electrodialysis for enhanced ammonia recovery from scrubber effluents.