Research and prospect of welding monitoring technology based on machine vision
Welding monitoring technology based on machine vision has been widely researched in
academic and industry, especially in the background of Industry 4.0, in that it can contribute …
academic and industry, especially in the background of Industry 4.0, in that it can contribute …
A novel surface temperature sensor and random forest-based welding quality prediction model
S Wang, Y Cui, Y Song, C Ding, W Ding… - Journal of Intelligent …, 2024 - Springer
Temperature variation directly affects the melting and solidification process of welding and
has a significant impact on weld quality and mechanical properties. Accurately acquiring …
has a significant impact on weld quality and mechanical properties. Accurately acquiring …
A new hybrid model based on secondary decomposition, reinforcement learning and SRU network for wind turbine gearbox oil temperature forecasting
Oil temperature forecasting technology can realize real-time detection of the gearbox status
of wind turbines. To make the oil temperature forecasting more accurate, a new hybrid …
of wind turbines. To make the oil temperature forecasting more accurate, a new hybrid …
Comparative study of 316L depositions by two welding current processes
W Wu, J Xue, Z Zhang, P Yao - Materials and Manufacturing …, 2019 - Taylor & Francis
Wire and arc additive manufacturing (WAAM) has advantages of high efficiency and low
cost. However, different welding current processes lead to different heat input and repeated …
cost. However, different welding current processes lead to different heat input and repeated …
Effects of welding pressure on high-power ultrasonic spot welding of Cu/Al dissimilar metals
H Li, B Cao - Journal of Manufacturing Processes, 2019 - Elsevier
Although high-power ultrasonic welding (HPUSW) can provide better welding results about
highly conductive materials, the welding mechanism is not well understood. In this study, the …
highly conductive materials, the welding mechanism is not well understood. In this study, the …
Prediction of weld widths for laser-MIG hybrid welding using informer model
In recent years, the field of industrial automation production has witnessed a growing
interest in welding quality monitoring. Among the various factors influencing welding quality …
interest in welding quality monitoring. Among the various factors influencing welding quality …
Fault diagnosis method for high-pressure common rail injector based on IFOA-VMD and hierarchical dispersion entropy
E Song, Y Ke, C Yao, Q Dong, L Yang - Entropy, 2019 - mdpi.com
The normal operation of high-pressure common rail injector is one of the important
prerequisites for the healthy and reliable operation of diesel engines. Therefore, this paper …
prerequisites for the healthy and reliable operation of diesel engines. Therefore, this paper …
Energy market prediction with novel long short-term memory network: Case study of energy futures index volatility
L Zhang, J Wang, B Wang - Energy, 2020 - Elsevier
Energy futures that is no less influential than the spot market is an important part of
commodity futures. A novel ST-LSTM model based on long short-term memory network …
commodity futures. A novel ST-LSTM model based on long short-term memory network …
Identification of weld defect through the application of denoising method to the sound signal acquired during pulse mode laser welding
The use of a classification model derived from the analysis of sound signals has
demonstrated significant success in detecting, identifying, and characterising the weld …
demonstrated significant success in detecting, identifying, and characterising the weld …
Bi-filter multiscale-diversity-entropy-based weak feature extraction for a rotor-bearing system
Multiscale-based entropy methods have proven to be a promising tool for extracting fault
information due to their high feature extraction ability and easy application. Despite …
information due to their high feature extraction ability and easy application. Despite …