A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation
SS Kamble, A Gunasekaran, A Ghadge… - International journal of …, 2020 - Elsevier
The smart manufacturing systems (SMS) offer several advantages compared to the
traditional manufacturing systems and are increasingly being adopted by manufacturing …
traditional manufacturing systems and are increasingly being adopted by manufacturing …
State-of-the-art techniques for fault diagnosis in electrical machines: advancements and future directions
Electrical machines are prone to various faults and require constant monitoring to ensure
safe and dependable functioning. A potential fault in electrical machinery results in …
safe and dependable functioning. A potential fault in electrical machinery results in …
Bearing fault diagnosis base on multi-scale CNN and LSTM model
X Chen, B Zhang, D Gao - Journal of Intelligent Manufacturing, 2021 - Springer
Intelligent fault diagnosis methods based on signal analysis have been widely used for
bearing fault diagnosis. These methods use a pre-determined transformation (such as …
bearing fault diagnosis. These methods use a pre-determined transformation (such as …
Prediction model of natural gas pipeline crack evolution based on optimized DCNN-LSTM
B Wang, Y Guo, D Wang, Y Zhang, R He… - Mechanical Systems and …, 2022 - Elsevier
Pipelines are one of the most important tools for natural gas transportation. To avoid
accidents caused by local cracks in the pipeline, it is necessary to develop a model that can …
accidents caused by local cracks in the pipeline, it is necessary to develop a model that can …
A novel predictive maintenance method based on deep adversarial learning in the intelligent manufacturing system
C Liu, D Tang, H Zhu, Q Nie - IEEE access, 2021 - ieeexplore.ieee.org
Along with the number and the functional complexity of machines increase in the intelligent
manufacturing system, the probability of faults will increase, which may lead to huge …
manufacturing system, the probability of faults will increase, which may lead to huge …
Adaptive fault diagnosis method for rotating machinery with unknown faults under multiple working conditions
Y Ge, F Zhang, Y Ren - Journal of Manufacturing Systems, 2022 - Elsevier
Fault diagnosis is an important part of the health management of many pieces of equipment.
It is an effective means to reduce equipment failure rate and shutdown loss. In engineering …
It is an effective means to reduce equipment failure rate and shutdown loss. In engineering …
CEEMD-assisted kernel support vector machines for bearing diagnosis
The successful assessment of the health condition in rolling element bearings hinges on the
early fault detection of fault of bearing elements. Early research has demonstrated that …
early fault detection of fault of bearing elements. Early research has demonstrated that …
Surface roughness prediction in turning processes using CEEMD-based vibration signal denoising and LSTM networks
A Athisayam, M Kondal - Proceedings of the Institution of …, 2024 - journals.sagepub.com
Surface roughness plays a pivotal role in assessing machining quality, and numerous
research efforts have been devoted to predicting surface roughness in turning processes …
research efforts have been devoted to predicting surface roughness in turning processes …
Sparse representation by novel cascaded dictionary for bearing fault diagnosis using bi-damped wavelet
L Zhang, L Zhao, C Wang - The International Journal of Advanced …, 2023 - Springer
Vibration-based bearing condition monitoring of rotating machinery is of great importance for
improving production efficiency and ensuring operational safety in the manufacturing …
improving production efficiency and ensuring operational safety in the manufacturing …
Bayesian optimized deep convolutional network for bearing diagnosis
The successful diagnosis of the faulty signal in rolling element bearings relies on the
accurate evaluation of the early fault present within the components of bearings. Because of …
accurate evaluation of the early fault present within the components of bearings. Because of …