Dataset of Vibration, Temperature and Speed Measurements for Multiple Types of Localized Defects on Spherical Roller Bearings across Multiple Operating Conditions 核心 · 已核验

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Description:

This dataset has been created by the ISED group of Politecnico di Torino to address the lack of data available for developing fault detection models and/or predictive maintenance systems for medium/large-sized spherical roller bearings, commonly used in industrial settings.

The data were collected using SKF 22240 CCK/W33 spherical roller bearings through an extensive experimental campaign on the medium/large-scale bearing test rig (capable of testing bearings with an outer diameter up to 420 mm), developed by the ISED research group at Politecnico di Torino (ISED Research Group). The technical details of the test rig can be found in this Paper.

The dataset contains data for individual localized defects applied to one of the four bearings tested simultaneously on the rig, which is capable of independently applying both axial and radial loads.

Dataset Structure:

The dataset is organized into four folders:

Undamaged

InnerRaceDamage

OuterRaceDamage

RollerDamage

The Undamaged folder contains data for all bearings in healthy condition. The other folders contain data from tests where one of the bearings presents a localized defect. The defects, introduced by chip removal, have a diameter of 2 mm and a depth of 0.5 mm, affecting either the inner race (IR), outer race (OR), or roller elements (B). More detailed information about the defect geometry and location can be found in the following publications:

Intelligent Fault Diagnosis of Industrial Bearings Using Transfer Learning and CNNs Pre-Trained for Audio Classification

Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring

Zero-Shot Generative AI for Rotating Machinery Fault Diagnosis: Synthesizing Highly Realistic Training Data via Cycle-Consistent Adversarial Networks

Each folder contains .mat files named according to the following format:

(Nominal_Rotation_Speed)rpm_(Radial_Force)kN_(Axial_Force)k

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://dx.doi.org/10.5281/zenodo.13913254

许可证

Restricted Use Agreement for Dataset Access and Sharing (置信:verified_official)

国内可访问性

国内直连:可达 (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

2024

发布方

Zenodo

设备类型

rolling_bearing

PHM 任务

fault_diagnosis

故障工况

传感器