Uncertainty utilization in fault detection using Bayesian deep learning
Up to now, extensive literature on the usage of deep learning in manufacturing can be
found. Though, actual usage of deep learning in manufacturing sites is somehow restrained …
found. Though, actual usage of deep learning in manufacturing sites is somehow restrained …
Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery
The application of cutting-edge technologies such as AI, smart sensors, and IoT in factories
is revolutionizing the manufacturing industry. This emerging trend, so called smart …
is revolutionizing the manufacturing industry. This emerging trend, so called smart …
A fault diagnosis method based on transfer convolutional neural networks
Q Liu, C Huang - IEEE Access, 2019 - ieeexplore.ieee.org
Early fault detection and diagnosis can increase the stability, reliability and safety of
manufacturing equipment. It can be used for protection against unforeseen emergencies in …
manufacturing equipment. It can be used for protection against unforeseen emergencies in …
Transfer learning for enhanced machine fault diagnosis in manufacturing
Given its demonstrated capability in pattern recognition, Deep Learning (DL) has been
increasingly investigated for advanced manufacturing. One limiting factor for successful DL …
increasingly investigated for advanced manufacturing. One limiting factor for successful DL …
Intelligent approach for the industrialization of deep learning solutions applied to fault detection
Early fault detection, both in equipment and the products in process, is of paramount
importance in industrial processes to ensure the quality of the final product, avoid abnormal …
importance in industrial processes to ensure the quality of the final product, avoid abnormal …
Image deep learning in fault diagnosis of mechanical equipment
C Wang, Y Sun, X Wang - Journal of Intelligent Manufacturing, 2023 - Springer
With the development of industry, more and more crucial mechanical machinery generate
wildness demand of effective fault diagnosis to ensure the safe operation. Over the past few …
wildness demand of effective fault diagnosis to ensure the safe operation. Over the past few …
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework
Fault diagnosis is efficient to improve the safety, reliability, and cost-effectiveness of
industrial machinery. Deep learning has been extensively investigated in fault diagnosis …
industrial machinery. Deep learning has been extensively investigated in fault diagnosis …
Fault detection prediction using a deep belief network-based multi-classifier in the semiconductor manufacturing process
JK Kim, JS Lee, YS Han - International Journal of Software …, 2019 - World Scientific
The semiconductor manufacturing process is very complex, and it is the most important part
of the semiconductor industry. In order to test whether or not wafers are functioning normally …
of the semiconductor industry. In order to test whether or not wafers are functioning normally …
Design and application of unsupervised convolutional neural networks integrated with deep belief networks for mechanical fault diagnosis
To overcome the limitations of manual features and obtain the operating characteristics of
the equipment in complex operation processes, different deep learning models have been …
the equipment in complex operation processes, different deep learning models have been …
Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service
Accurate detection of possible machine failure allows manufacturers to identify potential fault
situations in processes to avoid downtimes caused by unexpected tool wear or …
situations in processes to avoid downtimes caused by unexpected tool wear or …