A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication

D Liu, L Cui, W Cheng - Measurement Science and Technology, 2023 - iopscience.iop.org
Planetary gearboxes have various merits in mechanical transmission, but their complex
structure and intricate operation modes bring large challenges in terms of fault diagnosis …

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 …

Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review

T Wang, Q Han, F Chu, Z Feng - Mechanical Systems and Signal …, 2019 - Elsevier
As one of the most immensely growing renewable energies, the wind power industry also
experiences a high failure rate and operation & maintenance cost. Therefore, the condition …

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 …

A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor

O AlShorman, M Irfan, N Saad, D Zhen… - Shock and …, 2020 - Wiley Online Library
The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating
machinery (RM) have critical importance for early diagnosis to prevent severe damage of …

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

A Rai, SH Upadhyay - Tribology International, 2016 - Elsevier
Rolling element bearings play a crucial role in the functioning of rotating machinery.
Recently, the use of diagnostics and prognostics methodologies assisted by artificial …

Gearbox localized fault detection based on meshing frequency modulation analysis

S Zhi, H Shen, T Wang - Applied Acoustics, 2024 - Elsevier
Gearbox fault detection commonly relies on comparing sideband frequencies beside the
meshing frequency of gear, and its harmonics of higher orders in frequency domain between …

Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors

O AlShorman, M Irfan, M Masadeh, A Alshorman… - … Applications of Artificial …, 2024 - Elsevier
Recently, condition monitoring (CM) and fault detection and diagnosis (FDD) techniques for
rotating machinery (RM) have witnessed substantial advancements in recent decades …

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

Z Duan, T Wu, S Guo, T Shao, R Malekian… - The International Journal of …, 2018 - Springer
A rolling bearing is an essential component of a rotating mechanical transmission system. Its
performance and quality directly affects the life and reliability of machinery. Bearings' …

Vibration analysis for large-scale wind turbine blade bearing fault detection with an empirical wavelet thresholding method

Z Liu, L Zhang, J Carrasco - Renewable Energy, 2020 - Elsevier
Blade bearings, also termed pitch bearings, are joint components of wind turbines, which
can slowly pitch blades at desired angles to optimize electrical energy output. The failure of …