Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
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 …
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
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 …
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 …
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
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 …
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
Rolling element bearings play a crucial role in the functioning of rotating machinery.
Recently, the use of diagnostics and prognostics methodologies assisted by artificial …
Recently, the use of diagnostics and prognostics methodologies assisted by artificial …
Gearbox localized fault detection based on meshing frequency modulation analysis
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 …
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
Recently, condition monitoring (CM) and fault detection and diagnosis (FDD) techniques for
rotating machinery (RM) have witnessed substantial advancements in recent decades …
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' …
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
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 …
can slowly pitch blades at desired angles to optimize electrical energy output. The failure of …