Multi-mode fault diagnosis datasets of gearbox under variable working conditions

被引:11
作者
Chen, Shijin [1 ]
Liu, Zeyi [2 ]
He, Xiao [2 ]
Zou, Dongliang [1 ]
Zhou, Donghua [2 ,3 ]
机构
[1] MCC5 Grp Shanghai Co LTD, Shanghai 201900, Peoples R China
[2] Tsinghua Univ, Dept Automat, Beijing 100000, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China
来源
DATA IN BRIEF | 2024年 / 54卷
基金
中国国家自然科学基金;
关键词
Gearbox; Variable working conditions; Fault diagnosis;
D O I
10.1016/j.dib.2024.110453
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The gearbox is a critical component of electromechanical systems. The occurrence of multiple faults can significantly impact system accuracy and service life. The vibration signal of the gearbox is an effective indicator of its operational status and fault information. However, gearboxes in real industrial settings often operate under variable working conditions, such as varying speeds and loads. It is a significant and challenging research area to complete the gearbox fault diagnosis procedure under varying operating conditions using vibration signals. This data article presents vibration datasets collected from a gearbox exhibiting various fault degrees of severity and fault types, operating under diverse speed and load conditions. These faults are manually implanted into the gears or bearings through precise machining processes, which include health, missing teeth, wear, pitting, root cracks, and broken teeth. Several kinds of actual compound faults are also encompassed. The development of these datasets facilitates testing the effectiveness and reliability of newly developed fault diagnosis methods. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数:8
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