Two new features for condition monitoring and fault diagnosis of planetary gearboxes

被引:38
|
作者
Lei, Yaguo [1 ,2 ]
Li, Naipeng [1 ]
Lin, Jing [1 ]
He, Zhengjia [1 ]
机构
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
[2] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 630044, Peoples R China
基金
中国国家自然科学基金;
关键词
Condition monitoring; diagnostic features; fault diagnosis; planetary gearboxes; GEAR; DEMODULATION; CRACK;
D O I
10.1177/1077546313486284
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Planetary gearboxes are widely used in aerospace, automotive and heavy industrial applications that require compactness and high torque-to-weight ratios. Despite these advantages, tough operation conditions under which planetary gearboxes are typically used may lead to damage on their key components, for example, gears and bearings. Because of the unique behaviors of planetary gearboxes significantly different from fixed-axis gearboxes, the diagnostic features developed and working well for fixed-axis gearboxes will degrade when applied to planetary gearboxes. Therefore, there is a demand to develop features specifically for monitoring and diagnosing planetary gearboxes. To meet this demand, this paper proposes two features, namely, accumulative amplitudes of carrier orders and energy ratio based on difference spectra. The effectiveness of the proposed features is demonstrated using the vibration data acquired from a planetary gearbox test rig. The vibration data is measured under different motor speeds and various types of faults on gears and bearings. The proposed features are also compared with those reported in the literature. The comparison results show that the proposed features are more successful than others in monitoring and diagnosing planetary gearboxes.
引用
收藏
页码:755 / 764
页数:10
相关论文
共 50 条
  • [31] One-dimensional fully decoupled networks for fault diagnosis of planetary gearboxes
    Chang, Xu
    Tang, Baoping
    Tan, Qian
    Deng, Lei
    Zhang, Fanghong
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 141 (141)
  • [32] A Novel Spiking Graph Attention Network for Intelligent Fault Diagnosis of Planetary Gearboxes
    Cao, Shunxin
    Li, Hongkun
    Zhang, Kongliang
    Yang, Chen
    Xiang, Wei
    Sun, Fubiao
    [J]. IEEE SENSORS JOURNAL, 2023, 23 (12) : 13140 - 13154
  • [33] Quantitative Fault Diagnosis of Planetary Gearboxes Based on Improved Symbolic Dynamic Entropy
    Wang, Yanliang
    Meng, Jianguo
    Liu, Tongtong
    Zhang, Chao
    [J]. PROCESSES, 2024, 12 (07)
  • [34] Research on Planetary Gearboxes Feature Selection and Fault Diagnosis based on EDT and FDA
    Li, Haiping
    Zhao, Jianmin
    Yang, Ruifeng
    Zhao, Jinsong
    Teng, Hongzhi
    [J]. PROCEEDINGS OF 2014 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-2014 HUNAN), 2014, : 178 - 181
  • [35] An Investigation Into Fault Diagnosis of Planetary Gearboxes Using A Bispectrum Convolutional Neural Network
    Pang, Xinyu
    Xue, Xuanyi
    Jiang, Wangwang
    Lu, Kaibo
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 26 (04) : 2027 - 2037
  • [36] Fault Diagnosis Method for Planetary Gearboxes Based on SIFT-BoW and IResNext
    Wang, Zebing
    Gao, Lele
    Cui, Baozhen
    Wang, Haonan
    [J]. IEEE SENSORS JOURNAL, 2024, 24 (08) : 12094 - 12103
  • [37] A velocity synchrosqueezing transform for fault diagnosis of planetary gearboxes under nonstationary conditions
    Guan, Yunpeng
    Liang, Ming
    Necsulescu, Dan-Sorin
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2017, 231 (15) : 2868 - 2884
  • [38] Multiscale domain adaption models and their application in fault transfer diagnosis of planetary gearboxes
    Yao, Qunwang
    Qin, Yi
    Wang, Xin
    Qian, Quan
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2021, 104
  • [39] A vibration model for fault diagnosis of planetary gearboxes with localized planet bearing defects
    Gui Yong
    Han QinKai
    Chu FuLei
    [J]. Journal of Mechanical Science and Technology, 2016, 30 : 4109 - 4119
  • [40] Fault Diagnosis of Planetary Gearboxes Based on Improved EEMD and Frequency Demodulation Analysis
    Liu, Haohua
    Li, Fangyi
    Yang, Feng
    Nie, Yanyan
    Wang, Liming
    Zhang, Shanshan
    [J]. SUSTAINABLE DESIGN AND MANUFACTURING 2018, KES-SDM-18, 2019, 130 : 137 - 147