An In-Depth Study of Vibration Sensors for Condition Monitoring
Heavy machinery allows for the efficient, precise, and safe management of large-scale
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …
Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy
The worm gearbox is a power transmission system that has various applications in
industries. Being vital element of machinery, it becomes necessary to develop a robust fault …
industries. Being vital element of machinery, it becomes necessary to develop a robust fault …
Deep learning-based fault diagnosis of planetary gearbox: A systematic review
H Ahmad, W Cheng, J Xing, W Wang, S Du, L Li… - Journal of Manufacturing …, 2024 - Elsevier
Planetary gearboxes are popular in many industrial applications due to their compactness
and higher transmission ratios. With recent developments in the area of machine learning …
and higher transmission ratios. With recent developments in the area of machine learning …
Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis
Vibration analysis has been extensively exploited for bearing fault diagnosis. However,
signal acquisition is quite expensive since external hardware is required. Moreover, for …
signal acquisition is quite expensive since external hardware is required. Moreover, for …
A novel method for vibration signal transmission and attenuation analysis in complex planetary gearboxes
CH Wei, HR Cao, JH Shi, Y Yang, MG Du - Science China Technological …, 2024 - Springer
Planetary gearboxes play a crucial role in altering rotary speed and transmitting power in
large machines like wind turbines and sophisticated vehicles. There are many nonlinear …
large machines like wind turbines and sophisticated vehicles. There are many nonlinear …
AI-based condition monitoring on mechanical systems using multibody dynamics models
J Koutsoupakis, D Giagopoulos… - … Applications of Artificial …, 2023 - Elsevier
Real-time monitoring of mechanical systems via vibration measurements allows for
detection of faults in them and facilitates their predictive maintenance. Use of Artificial …
detection of faults in them and facilitates their predictive maintenance. Use of Artificial …
Condition monitoring framework for damage identification in CFRP rotating shafts using Model-Driven Machine learning techniques
G Karyofyllas, D Giagopoulos - Engineering Failure Analysis, 2024 - Elsevier
Real-time condition monitoring (CM) through vibration measurements is instrumental in
detecting faults and enabling predictive maintenance for mechanical systems. The accuracy …
detecting faults and enabling predictive maintenance for mechanical systems. The accuracy …
Machine learning classification of roasted arabic coffee: Integrating color, chemical compositions, and antioxidants
This study investigates the classification of Arabic coffee into three major variations (light,
medium, and dark) using simulated data gathered from the actual measurements of color …
medium, and dark) using simulated data gathered from the actual measurements of color …
Dynamic identification of coupler yaw angle of heavy haul locomotive: An optimal multi-task ELM-based method
B Xie, S Chen, P Song, X Ran, K Wang - Mechanical Systems and Signal …, 2024 - Elsevier
The lateral instability of the couplers seriously threaten the operation safety of 20,000-tonne
heavy-haul trains. It is essential to dynamically monitor the coupler yaw angle (CYA) in order …
heavy-haul trains. It is essential to dynamically monitor the coupler yaw angle (CYA) in order …
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Rotating machinery plays an essential part in many engineering fields. It needs prompt
solutions to the prognosis and health management to ensure the system reliability …
solutions to the prognosis and health management to ensure the system reliability …