Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
O AlShorman, F Alkahatni, M Masadeh… - Advances in …, 2021 - journals.sagepub.com
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …
machinery (RM) has a vital role in the modern industrial world. However, the remaining …
Rotating machinery fault-induced vibration signal modulation effects: A review with mechanisms, extraction methods and applications for diagnosis
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 …
and their diagnosis can thus be conducted by extracting fault-induced modulation features …
[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 - scholar.archive.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 …
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 …
Weak fault feature extraction of rolling bearings based on improved ensemble noise-reconstructed EMD and adaptive threshold denoising
C Yin, Y Wang, G Ma, Y Wang, Y Sun, Y He - Mechanical Systems and …, 2022 - Elsevier
Extracting weak fault features under noise interference is crucial for the fault diagnosis of
rolling bearings at an early stage. In this paper, a new method based on improved ensemble …
rolling bearings at an early stage. In this paper, a new method based on improved ensemble …
Damage location, quantification and characterization of steel-concrete composite beams using acoustic emission
In the hogging moment regions of steel-concrete composite beams that have been widely
used in bridges and buildings nowadays, the concrete slabs are vulnerable to cracks and …
used in bridges and buildings nowadays, the concrete slabs are vulnerable to cracks and …
Fault feature extraction and diagnosis of rolling bearings based on wavelet thresholding denoising with CEEMDAN energy entropy and PSO-LSSVM
W Chen, J Li, Q Wang, K Han - Measurement, 2021 - Elsevier
In order to improve identification accuracy of rolling bearings with nonlinear and
nonstationary vibration signals, a novel fault diagnosis method based on wavelet …
nonstationary vibration signals, a novel fault diagnosis method based on wavelet …
Fault diagnosis of rotating machines based on the EMD manifold
One challenge of the existing noise-assisted methods for solution of mode mixing problem of
empirical mode decomposition (EMD) is that, the decomposed modes contain much residual …
empirical mode decomposition (EMD) is that, the decomposed modes contain much residual …
Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings
Rolling element bearings are widely used in various industrial machines, such as electric
motors, generators, pumps, gearboxes, railway axles, turbines, and helicopter …
motors, generators, pumps, gearboxes, railway axles, turbines, and helicopter …
[HTML][HTML] A review of early fault diagnosis approaches and their applications in rotating machinery
Y Wei, Y Li, M Xu, W Huang - Entropy, 2019 - mdpi.com
Rotating machinery is widely applied in various types of industrial applications. As a
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …
The Harmogram: A periodic impulses detection method and its application in bearing fault diagnosis
K Zhang, P Chen, M Yang, L Song, Y Xu - Mechanical systems and signal …, 2022 - Elsevier
Bearings are important and easily damaged parts in equipment. Collecting and analyzing
the vibration signals of damaged bearings is a common fault diagnosis method. The …
the vibration signals of damaged bearings is a common fault diagnosis method. The …