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

doi:10.5281/zenodo.20576460

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.

落地页
https://zenodo.org/doi/10.5281/zenodo.20576460
许可证
CC-BY-4.0 (判读置信:inferred)
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) 代理通道:可达 (2026-07-11 检测)
检测口径:lychee 双通道单轮探测;「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
PHM 任务
fault_detection fault_diagnosis
溯源(PROV,4 条)
source_url: https://api.datacite.org/dois/10.5281/zenodo.20576460source_citation: DataCite REST 反查(KLS-019,query=fault diagnosis)retrieved_on: 2026-07-10asserted_by: automated_harvestnote: 补量候选(281→300+),经全量人工复核入库;晋升需人工核验
about_field: taskssource_citation: graphrag 抽取自论文 doi:10.5281/zenodo.20576460(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: fault_detection, fault_diagnosis;候选区,晋升需人工核验(ADR-26)
about_field: source_citation: 人工核验:zfbin(委托批准 2026-07-10)retrieved_on: 2026-07-10asserted_by: human_curatorconfidence_level: human_verifiednote: 晋升核心区。晋升批次 04:KLS-019 补量卡,逐卡逐断言对照自述核验(evidence/KLS-016/07)
about_field: china_accessibilitysource_citation: KLS-009 链接健康扫描(lychee 双通道)retrieved_on: 2026-07-12asserted_by: automated_harvestnote: 定期刷新标注,仅覆盖本字段;历史结果以最新扫描为准