Phenomenological vibration models of planetary gearboxes for gear local fault diagnosis

被引:22
|
作者
Nie, Yanyan [1 ,2 ]
Li, Fangyi [1 ,2 ]
Wang, Liming [1 ,2 ]
Li, Jianfeng [1 ,2 ]
Wang, Mengyao [1 ,2 ]
Sun, Mingshuai [1 ,2 ]
Li, Guoyan [3 ]
Li, Yanle [1 ,2 ]
机构
[1] Shandong Univ, Sch Mech Engn, Minist Educ, Key Lab High Efficiency & Clean Mech Manufacture, 17923 Jingshi Rd, Jinan 250061, Peoples R China
[2] Shandong Univ, Natl Demonstrat Ctr Expt Mech Engn Educ, Jinan 250061, Peoples R China
[3] Taiyuan Univ Technol, Key Lab Adv Transducers & Intelligent Control Sys, Minist Educ, Taiyuan 030024, Peoples R China
基金
国家重点研发计划; 美国国家科学基金会;
关键词
Gear fault; Phenomenological vibration model; Planetary gearbox; Vibration feature; Local fault characteristic frequency; VARYING MESH STIFFNESS; EPICYCLIC GEARBOX; FREQUENCY; MODULATION; SIGNAL; DEMODULATION; SPUR; SET; EXPLANATION; CRACK;
D O I
10.1016/j.mechmachtheory.2021.104698
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Planetary gearboxes (PGs) are prone to gear local faults, such as cracking, pitting, and spalling, because of their difficult working environment. These faults may lead to significant capital losses and catastrophic events. Numerous phenomenological modulation models of vibration signals of PGs have been proposed for diagnosis purposes. However, local fault diagnosis remains extremely challenging due to two aspects: (1) Most vibration modulation models cannot reflect the local fault-induced pulse modulation characteristic. (2) Studies on local fault characteristic frequencies (LFCFs) of gears lack a unified mechanism explanation. To solve these problems, an improved phenomenological vibration model of a gear pair with local fault is first proposed. This model can reflect the pulse modulation characteristic. Then, relative phases between multiple gear pairs in the PG are calculated based on a modified phase model. Based on these, phenomenological vibration models of PGs with/without local faults are established, spectral structures are derived using Fourier series analysis, and LFCFs are deduced for local fault diagnosis. Simulation and experimental studies demonstrate the effectiveness of the proposed models, which exhibit higher descriptive capability than traditional models.
引用
收藏
页数:30
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