Tool condition monitoring for high-performance machining systems—A review
In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems
have gained considerable interest in high-value manufacturing industries to cope with the …
have gained considerable interest in high-value manufacturing industries to cope with the …
A review of real-time fault diagnosis methods for industrial smart manufacturing
W Yan, J Wang, S Lu, M Zhou, X Peng - Processes, 2023 - mdpi.com
In the era of Industry 4.0, highly complex production equipment is becoming increasingly
integrated and intelligent, posing new challenges for data-driven process monitoring and …
integrated and intelligent, posing new challenges for data-driven process monitoring and …
A comprehensive survey of deep transfer learning for anomaly detection in industrial time series: Methods, applications, and directions
Automating the monitoring of industrial processes has the potential to enhance efficiency
and optimize quality by promptly detecting abnormal events and thus facilitating timely …
and optimize quality by promptly detecting abnormal events and thus facilitating timely …
A review on vibration monitoring techniques for predictive maintenance of rotating machinery
Machine failure in modern industry leads to lost production and reduced competitiveness.
Maintenance costs represent between 15% and 60% of the manufacturing cost of the final …
Maintenance costs represent between 15% and 60% of the manufacturing cost of the final …
Distillation-enhanced fast neural architecture search method for edge-side fault diagnosis of wind turbine gearboxes
Y Wu, B Tang, L Deng, Q Li - Expert Systems with Applications, 2022 - Elsevier
Deep learning methods have been widely applied for fault diagnosis of wind turbine
gearboxes. However, a new model requires experts to be empirically handcrafted, which is …
gearboxes. However, a new model requires experts to be empirically handcrafted, which is …
Deep learning for the detection of machining vibration chatter
Most of the work on chatter detection is based on laboratory machining tests, thus without
the constraints of noise, the variety of situations to be managed in the industry, and the …
the constraints of noise, the variety of situations to be managed in the industry, and the …
An investigation of monitoring the damage mechanism in ultra-precision grinding of monocrystalline silicon based on AE signals processing
S Wang, Q Zhao, T Wu - Journal of Manufacturing Processes, 2022 - Elsevier
Ultra-precision grinding has become one of the most important processes in the production
of high-end optics made of hard and brittle materials. Due to the effects of ultra-precision …
of high-end optics made of hard and brittle materials. Due to the effects of ultra-precision …
Abnormal pattern recognition for online inspection in manufacturing process based on multi-scale time series classification
The collection of large volumes of temporal data during the production process is
streamlined in a cyber manufacturing environment. The ineluctable abnormal patterns in …
streamlined in a cyber manufacturing environment. The ineluctable abnormal patterns in …
Artificial neural network-based damage detection of composite material using laser ultrasonic technology
LL Fu, JS Yang, S Li, H Luo, JH Wu - Measurement, 2023 - Elsevier
Composite materials are widely used in various fields and non-destructive testing (NDT) is
an important issue for these. Laser ultrasonic technology (LUT) can achieve the non-contact …
an important issue for these. Laser ultrasonic technology (LUT) can achieve the non-contact …
Digital-analog driven multi-scale transfer for smart bearing fault diagnosis
W Huang, Z Li, X Ding, D He, Q Wu, J Liu - Engineering Applications of …, 2024 - Elsevier
Self-diagnosis and self-decision are crucial to smart bearing, where intelligent and robust
models should be built and deployed on the smart bearing chip for an on-line edge effect …
models should be built and deployed on the smart bearing chip for an on-line edge effect …