High_Quality_Dataset_for_Multi_Source_Heterogeneous_Data_Fusion_and_Health_Diagnosis_of_Industrial_Equipment

Contents & fields

The dataset consists of three layers: self-collected data from data centers, compliantly integrated IEEE open-source industrial datasets, and standardized fused labeled products. It covers multi-modal data including time-series, images, audio, video, and engineering features, with 26 standardized industrial fault modes, covering extreme complex conditions such as load fluctuations, high/low temperatures, and intermittent start-stop. A standardized data governance system was established, including noise reduction, time-series alignment, and double-person double-label triple review, achieving data integrity of 96.5% and labeling accuracy of 98.5%. No field-level description is disclosed on the source page.

Research uses

Suitable for research and model development in industrial equipment fault diagnosis, multi-source heterogeneous data fusion, health management, and predictive maintenance.

Information comes from the source page. Please check that page for current details and terms.