PRONTO

PRONTO heterogeneous benchmark dataset

Dataset Information
Modalities
Time series
Languages
English
Introduced
2019
License
Unknown
Homepage

Overview

The PRONTO heterogeneous benchmark dataset is based on an industrial-scale multiphase flow facility. It includes data from heterogeneous sources, including process measurements, alarm records, high frequency ultrasonic flow and pressure measurements, an operation log and video recordings. The study collected data from various operational conditions with and without induced faults to generate a multi-rate, multi-modal dataset. The dataset is suitable for developing and validating algorithms for fault detection and diagnosis (FDD) and data fusion.

Variants: PRONTO

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Unsupervised Anomaly Detection DyEdgeGAT DyEdgeGAT: Dynamic Edge via Graph … 2023-07-07

Research Papers

Recent papers with results on this dataset: