A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
With the recent developments in robotic process automation (RPA) and artificial intelligence
(AI), academics and industrial practitioners are now pursuing robust and adaptive decision …
(AI), academics and industrial practitioners are now pursuing robust and adaptive decision …
Artificial intelligence-based technique for fault detection and diagnosis of EV motors: A review
W Lang, Y Hu, C Gong, X Zhang, H Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network
This paper presents a data-driven intelligent fault diagnosis approach for rotating machinery
(RM) based on a novel continuous wavelet transform-local binary convolutional neural …
(RM) based on a novel continuous wavelet transform-local binary convolutional neural …
Compound fault diagnosis using optimized MCKD and sparse representation for rolling bearings
W Deng, Z Li, X Li, H Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The effective separation of fault characteristic components is the core of compound fault
diagnosis of rolling bearings. The intelligent optimization algorithm has better global …
diagnosis of rolling bearings. The intelligent optimization algorithm has better global …
Multivariate variational mode decomposition
N ur Rehman, H Aftab - IEEE Transactions on signal …, 2019 - ieeexplore.ieee.org
We present a generic extension of variational mode decomposition (VMD) algorithm to
multivariate or multichannel data. The proposed method utilizes a model for multivariate …
multivariate or multichannel data. The proposed method utilizes a model for multivariate …
Fault detection in gears using fault samples enlarged by a combination of numerical simulation and a generative adversarial network
Y Gao, X Liu, J Xiang - IEEE/ASME Transactions on …, 2021 - ieeexplore.ieee.org
It is inevitable for gear to become damaged, which has a profound effect on the performance
of gear transmission systems. Solving the problem of gear fault detection using artificial …
of gear transmission systems. Solving the problem of gear fault detection using artificial …
Multitask learning based on lightweight 1DCNN for fault diagnosis of wheelset bearings
In recent years, deep learning has been proved to be a promising bearing fault diagnosis
technology. However, most of the existing methods are based on single-task learning. Fault …
technology. However, most of the existing methods are based on single-task learning. Fault …
A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings
Health prognosis of rolling bearing is of great significance to improve its safety and
reliability. This paper presents a novel health prognosis method for the rolling bearing based …
reliability. This paper presents a novel health prognosis method for the rolling bearing based …
Smart multichannel mode extraction for enhanced bearing fault diagnosis
In bearing fault diagnosis, multichannel data can contain more abundant and complete fault
information to alleviate the influence of accidental factors in a single channel. To fully …
information to alleviate the influence of accidental factors in a single channel. To fully …
An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis
Variational mode decomposition has been widely applied to machinery fault diagnosis
during these years. However, it remains difficult to set proper hyperparameters for the …
during these years. However, it remains difficult to set proper hyperparameters for the …