Rotating machinery fault-induced vibration signal modulation effects: A review with mechanisms, extraction methods and applications for diagnosis

P Zhou, S Chen, Q He, D Wang, Z Peng - Mechanical Systems and Signal …, 2023 - Elsevier
Rotating machinery faults can induce characteristic modulation effects in a vibration signal,
and their diagnosis can thus be conducted by extracting fault-induced modulation features …

Rotating machinery fault diagnosis under time-varying speeds: A review

D Liu, L Cui, H Wang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Rotating machinery often works under time-varying speeds, and nonstationary conditions
and harsh environments make its key parts, such as rolling bearings and gears, prone to …

[PDF][PDF] 信号分解及其在机械故障诊断中的应用研究综述

陈是扦, 彭志科, 周鹏 - 机械工程学报, 2020 - qikan.cmes.org
重大装备制造业是国民经济的支柱, 也是关系到国家安全的战略性产业, 而重大机械装备的运行
安全一直是备受关注的焦点. 机械设备由于工作环境恶劣, 工况复杂, 其关键部件容易受损 …

风电装备故障诊断与健康监测研究综述.

陈雪峰, 郭艳婕, 许才彬… - China Mechanical …, 2020 - search.ebscohost.com
针对风力发电机传动链中的三大部件———复合材料叶片, 齿轮箱, 发电机的故障诊断与健康
监测的发展现状进行文献综述, 总结该领域的研究现状及主要方法. 综述风电装备中复合材料 …

Basis pursuit

S Chen, D Donoho - … of 1994 28th Asilomar Conference on …, 1994 - ieeexplore.ieee.org
The time-frequency and time-scale communities have recently developed an enormous
number of over-complete signal dictionaries, wavelets, wavelet packets, cosine packets …

Traversal index enhanced-gram (TIEgram): A novel optimal demodulation frequency band selection method for rolling bearing fault diagnosis under non-stationary …

X Wang, J Zheng, Q Ni, H Pan, J Zhang - Mechanical Systems and Signal …, 2022 - Elsevier
It is very important to select the optimal demodulation frequency band (ODFB) of rolling
bearing vibration signals for the most valuable fault information extraction and diagnosis …

Bearing multi-fault diagnosis with iterative generalized demodulation guided by enhanced rotational frequency matching under time-varying speed conditions

D Zhao, J Li, W Cheng, W Wen - ISA transactions, 2023 - Elsevier
The rotational frequency (RF) is an important information for multi-fault features detection of
rolling bearing under varying speed conditions. In the traditional methods, such as the …

Flexible generalized demodulation for intelligent bearing fault diagnosis under nonstationary conditions

D Liu, L Cui, W Cheng - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Rotating machinery fault diagnosis under nonstationary conditions still mainly relies on
manual analysis of the frequency spectrums or the time-frequency representations of …

Matching demodulation transform and synchrosqueezing in time-frequency analysis

S Wang, X Chen, G Cai, B Chen, X Li… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
The authors introduce an iterative algorithm, called matching demodulation transform (MDT),
to generate a time-frequency (TF) representation with satisfactory energy concentration. As …

Fault diagnosis of wind turbines under nonstationary conditions based on a novel tacho-less generalized demodulation

D Liu, L Cui, W Cheng - Renewable Energy, 2023 - Elsevier
Abstract—The fault diagnosis of wind turbines under nonstationary conditions is still
challenging. This paper proposes a novel tacho-less generalized demodulation (NTLGD) …