RT-FDD Datasets: Pick-and-Place and Electric Furnace Benchmarks for Real-Time Fault Detection and Diagnosis 核心 · 已核验

mxds97pcncak0189

Four benchmark datasets for Real-Time Fault Detection and Diagnosis (RT-FDD) research on discrete manufacturing machines. Each machine (Pick-and-Place and Electric Furnace) is provided in two versions: an Original Dataset (OD) with deterministic fault conditions and an Aleatory Simulated Dataset (ASD) with bounded variability emulating realistic industrial uncertainty. Data was logged from a closed-loop real-time simulation running on a SoftPLC stack (Modbus TCP + OPC UA), organised per operating cycle, preserving event timing, execution order, and continuous sensor behaviour.

All four CSVs use Unix epoch milliseconds (UTC) in the timestamp column. See the README for the column reference and the accompanying article for full methodology.

本卡描述如含来自官方页的原文片段,其版权归原作者,不在本站 CC-BY 4.0 许可范围(见关于与许可)。

落地页

https://zenodo.org/doi/10.5281/zenodo.20576460

许可证

CC-BY-4.0 (置信:verified_official)

国内可访问性

国内直连:直连超时(慢或不稳定,非封锁证据) (2026-07-11 检测) 非直连:可达 (2026-07-11 检测)
「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。

发布年份

2026

发布方

Zenodo

别名

RT-FDD

PHM 任务

fault_detection fault_diagnosis