causRCA: Real-World Dataset for Causal Discovery and Root Cause Analysis in Machinery 候选 · 未审核

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causRCA: Real-World Dataset for Causal Discovery and Root Cause Analysis in Machinery

causRCA is a collection of time series datasets recorded from the CNC control of an industrial vertical lathe.

The datasets comprise real-world recordings from normal factory operation and labeled fault data from a hardware-in-the-loop simulation. The fault datasets come with labels for the underlying (simulated) cause of the failure, a labeled diagnosis, and a causal model of all variables in the datasets.

The extensive metadata and provided ground truth causal structure enable benchmarking of methods in causal discovery, root cause analysis, anomaly detection, and fault diagnosis in general.

Use Cases & Applications

Causal Discovery: Benchmark learned causal graphs against an expert-derived causal graph.

Supervised Root Cause Analysis: Train and test models on labeled diagnosis for different fault scenarios.

Unsupervised Root Cause Analysis: Identify manipulated variables in different fault scenarios with known ground truth.

Data & File Overview

data/

┣ real_op/

┣ dig_twin/

┃ ┣ exp_coolant/

┃ ┣ exp_hydraulics/

┃ ┗ exp_probe/

┣ expert_graph/

┗ README_DATASET.md

The data folder contains:

real_op/: CSV files with time series data from normal operation.

dig_twin/: Data from the digital twin experiments. Each group (coolant,hydraulics,probe) contains a causal subgraph as ground truth, different fault scenarios and multiple runs per scenario:

exp_coolant/: Coolant system faults

exp_hydraulics/: Hydraulic system faults

exp_probe/: Probe system faults

expert_graph/: GML and interactive HTML file with the expert-derived causal graph and lists of nodes and edges.

README_DATASET.md: Dataset description

Datasets summary

(Sub-)graph

#Nodes

#Edges

#Datasets normal

#Datasets Fault

#Fault Scenarios

#Different Diagnoses

#Causing Variables

Lathe (Full graph)

92

104

170

100

19

10

14

--Probe

11

15

170

34

6

3

2

--Hydraulics

17

18

170

41

9

5

6

--Coolant

1

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落地页

https://zenodo.org/records/15876410

许可证

Apache-2.0 (置信:inferred)

发布年份

2025

发布方

Zenodo

设备类型

machine_tool hydraulic_system

PHM 任务

anomaly_detection fault_diagnosis

分发点