Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
Due to the complex and rugged working environment of real machinery equipment, the
resulting fault information is easily submerged by severe noise interference. Additionally …
resulting fault information is easily submerged by severe noise interference. Additionally …
A novel intelligent diagnosis method of rolling bearing and rotor composite faults based on vibration signal-to-image mapping and CNN-SVM
F Hongwei, X Ceyi, M Jiateng… - Measurement …, 2023 - iopscience.iop.org
The rolling bearing is a key element of rotating machine and its fault diagnosis is a research
focus. When a single fault of a rolling bearing fails to be addressed in time, it will cause …
focus. When a single fault of a rolling bearing fails to be addressed in time, it will cause …
A fault diagnosis for rolling bearing based on multilevel denoising method and improved deep residual network
Z Feng, S Wang, M Yu - Digital Signal Processing, 2023 - Elsevier
Aiming at the problem that weak faults in rolling bearings make effective fault diagnosis
difficult under strong noise, this paper proposes a multilevel denoising technology based on …
difficult under strong noise, this paper proposes a multilevel denoising technology based on …
Bearing fault diagnosis based on CNN-BiLSTM and residual module
G Fu, Q Wei, Y Yang, C Li - Measurement Science and …, 2023 - iopscience.iop.org
Bearings are key components of rotating machinery, and their fault diagnosis is essential for
machinery operation. Bearing vibration signals belong to time series data, but traditional …
machinery operation. Bearing vibration signals belong to time series data, but traditional …
Nondestructive identification of soybean protein in minced chicken meat based on hyperspectral imaging and VGG16-SVM
J Sun, F Yang, J Cheng, S Wang, L Fu - Journal of Food Composition and …, 2024 - Elsevier
A rapid and nondestructive method for identification of soybean protein in minced chicken
meat based on visible-near infrared hyperspectral imaging (HSI) technology and VGG16 …
meat based on visible-near infrared hyperspectral imaging (HSI) technology and VGG16 …
A novel fault diagnosis approach of rolling bearing using intrinsic feature extraction and CBAM-enhanced InceptionNet
Rolling bearings play a crucial role as components in mechanical equipment.
Malfunctioning rolling bearings can disrupt the normal operation of the equipment and pose …
Malfunctioning rolling bearings can disrupt the normal operation of the equipment and pose …
A novel hierarchical training architecture for Siamese Neural Network based fault diagnosis method under small sample
J Zhao, M Yuan, J Cui, J Huang, F Zhao, S Dong, Y Qu - Measurement, 2023 - Elsevier
Although current deep learning-based fault diagnosis methods have made great progress,
the accuracy of these models is usually attained based on many balanced training samples …
the accuracy of these models is usually attained based on many balanced training samples …
Explainable deep ensemble model for bearing fault diagnosis under variable conditions
Deep learning-based intelligent diagnostic methods have been widely used in aerospace,
rail transportation, automotive, rail vehicles, and other fields. However, deep neural …
rail transportation, automotive, rail vehicles, and other fields. However, deep neural …
A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction
Z He, J Huang - Resources Policy, 2023 - Elsevier
Accurately forecasting the price of non-ferrous metals is of great significance for traders to
avoid risks, enterprises to arrange production plans, and countries to formulate economic …
avoid risks, enterprises to arrange production plans, and countries to formulate economic …
Dual-source gramian angular field method and its application on fault diagnosis of drilling pump fluid end
G Li, J Ao, J Hu, D Hu, Y Liu, Z Huang - Expert Systems with Applications, 2024 - Elsevier
Under complex drilling working conditions, it is difficult to completely describe the working
state of the drilling pump fluid end with a single-source signal to achieve a high fault …
state of the drilling pump fluid end with a single-source signal to achieve a high fault …