Chatter detection in milling processes—a review on signal processing and condition classification

JH Navarro-Devia, Y Chen, DV Dao, H Li - The International Journal of …, 2023 - Springer
Among the diverse challenges in machining processes, chatter has a significant detrimental
effect on surface quality and tool life, and it is a major limitation factor in achieving higher …

Review of AI-based methods for chatter detection in machining based on bibliometric analysis

CAKA Kounta, L Arnaud, B Kamsu-Foguem… - … International Journal of …, 2022 - Springer
To improve the finish and efficiency of machining processes, researchers set out to develop
techniques to detect, suppress, or avoid vibration chatter. This work involves tracing chatter …

Multi-scale and multi-layer perceptron hybrid method for bearings fault diagnosis

S Xie, Y Li, H Tan, R Liu, F Zhang - International Journal of Mechanical …, 2022 - Elsevier
The progressive growth in demand and requirements for bearing problem diagnostics in the
operating segment of trains has resulted from an increase in train speed and the …

Hob vibration signal denoising and effective features enhancing using improved complete ensemble empirical mode decomposition with adaptive noise and fuzzy …

H Zhou, P Yan, Q Huang, Y Yuan, J Pei… - Expert Systems with …, 2023 - Elsevier
The acquired hob vibration signals are inevitably contaminated by noise in the industrial
environment, which changes the vibration signal frequency distribution and reduces the …

Quantitative diagnosis of loose piston rod threads in reciprocating compressors for hydrogen storage and transport

X Li, A Diao, Y Guo, X Jia, C Zhang, X Peng - International Journal of …, 2023 - Elsevier
Fracture of the piston rod yields catastrophic accidents in reciprocating hydrogen
compressors, resulting in costly and time-consuming maintenance and developing the latest …

An improved mobileNet network with wavelet energy and global average pooling for rotating machinery fault diagnosis

F Zhu, C Liu, J Yang, S Wang - Sensors, 2022 - mdpi.com
In recent years, neural networks have shown good performance in terms of accuracy and
efficiency. However, along with the continuous improvement in diagnostic accuracy, the …

Improved STFT analysis using time-frequency masking for chatter detection in the milling process

DE Matthew, J Shi, M Hou, H Cao - Measurement, 2024 - Elsevier
In the field of machining, the purposeful increase in cutting depth and rotation speed can
potentially cause chatter vibration. Chatter lowers surface quality, tool and spindle life, and …

Vibration state identification of hydraulic units based on improved artificial rabbits optimization algorithm

Q Cao, L Wang, W Zhao, Z Yuan, A Liu, Y Gao, R Ye - Biomimetics, 2023 - mdpi.com
To improve the identification accuracy of the vibration states of hydraulic units, an improved
artificial rabbits optimization algorithm (IARO) adopting an adaptive weight adjustment …

Damage assessment of composite material based on variational mode decomposition and BiLSTM

B Aklouche, T Benkedjouh, H Habbouche… - The International Journal …, 2023 - Springer
In industry, the failure of composite material may have negative consequences on the
productivity, security, and the environment. To avoid such situations, the structural health …

Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks

P Pandit, A Sagar, B Ghose, M Paul, O Kisi… - Scientific Reports, 2024 - nature.com
Improving the forecasting accuracy of agricultural commodity prices is critical for many
stakeholders namely, farmers, traders, exporters, governments, and all other partners in the …