Vibration Signal Datasets for Bearing Fault Diagnosis and Out-of-Distribution Detection

Citation Author(s):
Yuting
Zhang
Submitted by:
Yuting Zhang
Last updated:
Wed, 04/16/2025 - 09:42
DOI:
10.21227/e1st-7d83
License:
0
0 ratings - Please login to submit your rating.

Abstract 

This dataset comprises vibration signals collected from bearing test rigs under both healthy and faulty conditions, designed to support research in fault diagnosis and out-of-distribution (OOD) detection. The data includes:

  1. CWRU Dataset: Signals from the Case Western Reserve University bearing test platform, sampled at 12 kHz, covering normal operation and three fault types (inner race, outer race, and rolling element faults) with varying severities (0.007–0.021 inches). OOD samples are explicitly labeled for validation.

  2. PU Dataset: Industrial-scale vibration data from accelerated life testing, including inner race faults (ID samples) and outer race/mixed faults (OOD samples), sampled at 2048 Hz under controlled load (0.7 Nm) and speed (1500 rpm).

Instructions: 

Loading Data, Preprocessing, Task-Specific Splits

Comments

The instructions seem unclear, is this expected?

INSTRUCTIONS: 

LOADING DATA, PREPROCESSING, TASK-SPECIFIC SPLITS

Submitted by Alok Tibrewala on Wed, 04/16/2025 - 15:49