Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …
Remaining useful life prediction using deep learning approaches: A review
Y Wang, Y Zhao, S Addepalli - Procedia manufacturing, 2020 - Elsevier
Data-driven techniques, especially on artificial intelligence (AI) such as deep learning (DL)
techniques, have attracted more and more attention in the manufacturing sector because of …
techniques, have attracted more and more attention in the manufacturing sector because of …
Intelligent maintenance systems and predictive manufacturing
With continued global market growth and an increasingly competitive environment,
manufacturing industry is facing challenges and desires to seek continuous improvement …
manufacturing industry is facing challenges and desires to seek continuous improvement …
Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms
Manufacturing is transformed towards smart manufacturing, entering a new data-driven era
fueled by digital technologies. The resulting Smart Manufacturing Systems (SMS) gather …
fueled by digital technologies. The resulting Smart Manufacturing Systems (SMS) gather …
[HTML][HTML] Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning
Abstract Predictive Maintenance (PdM) is one of the core innovations in recent years that
sparks interest in both research and industry. While researchers develop more and more …
sparks interest in both research and industry. While researchers develop more and more …
A systematic literature review of predictive maintenance for defence fixed-wing aircraft sustainment and operations
In recent decades, the increased use of sensor technologies, as well as the increase in
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …
An improved generic hybrid prognostic method for RUL prediction based on PF-LSTM learning
K Xue, J Yang, M Yang, D Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate estimation and prediction of the state-of-health (SOH) and remaining useful life
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …
Post-prognostics demand management, production, spare parts and maintenance planning for a single-machine system using Reinforcement Learning
K Wesendrup, B Hellingrath - Computers & Industrial Engineering, 2023 - Elsevier
Abstract Production Planning and Control (PPC) is crucial for any manufacturer and
comprises steps such as demand management, production, or source planning …
comprises steps such as demand management, production, or source planning …
A similarity based methodology for machine prognostics by using kernel two sample test
This paper proposes a novel similarity-based algorithm for Remaining Useful Life (RUL)
prediction and a methodology for machine prognostics. In the proposed RUL prediction …
prediction and a methodology for machine prognostics. In the proposed RUL prediction …
Using temporal convolution network for remaining useful lifetime prediction
J Chen, D Chen, G Liu - Engineering Reports, 2021 - Wiley Online Library
Abstract Because Convolutional Neural Network (CNN) can extract spatial feature, while
Long Short‐Term Memory (LSTM) can learn temporal features, many methods combining …
Long Short‐Term Memory (LSTM) can learn temporal features, many methods combining …