Multi-sensor fusion rolling bearing intelligent fault diagnosis based on VMD and ultra-lightweight GoogLeNet in industrial environments
S Wang, Z Feng - Digital Signal Processing, 2024 - Elsevier
As artificial intelligence and sensor technology develop rapidly, intelligent fault diagnosis
methods based on deep learning are widely used in industrial production. However, in …
methods based on deep learning are widely used in industrial production. However, in …
A fault diagnosis method for few-shot industrial processes based on semantic segmentation and hybrid domain transfer learning
Y Tian, Y Wang, X Peng, W Zhang - Applied Intelligence, 2023 - Springer
Fault diagnosis of industrial processes plays an important role in avoiding heavy losses and
ensuring production safety. Complex industrial processes often have many working …
ensuring production safety. Complex industrial processes often have many working …
A novel feature enhancement framework for rotating machinery fault identification under limited datasets
P Shi, J He, X Xu, D Han - Applied Acoustics, 2023 - Elsevier
Due to the tough environment in which rotating machinery is located, the extraction of
features for its fault signals has been plaguing researchers. Therefore, this study proposed a …
features for its fault signals has been plaguing researchers. Therefore, this study proposed a …
Rolling mill fault diagnosis under limited datasets
J He, P Shi, X Xu, D Han - Knowledge-Based Systems, 2024 - Elsevier
Sensor technology and deep learning have gained a lot of attention in the field of mill fault
detection, which provides new possibilities for the condition monitoring of mills. The study …
detection, which provides new possibilities for the condition monitoring of mills. The study …
IRMSwin-T: A lightweight shifted windows transformer based on inverted residual structure and residual multi-layer perceptron for rolling bearing fault diagnosis
S Ding, R Chen, H Liu, F Liu, J Zhang - Review of Scientific …, 2023 - pubs.aip.org
The data-driven fault diagnosis method has achieved many good results. However, classical
convolutional and recurrent neural networks have problems with large parameters and poor …
convolutional and recurrent neural networks have problems with large parameters and poor …
Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey
J Jakubowski, N Wojak-Strzelecka, RP Ribeiro… - arXiv preprint arXiv …, 2024 - arxiv.org
Predictive Maintenance (PdM) emerged as one of the pillars of Industry 4.0, and became
crucial for enhancing operational efficiency, allowing to minimize downtime, extend lifespan …
crucial for enhancing operational efficiency, allowing to minimize downtime, extend lifespan …
基于监督对比学习和混合注意力残差网络的隔膜泵单向阀故障诊断.
任洪兵， 彭宇明， 黄海波 - Journal of Mechanical & Electrical …, 2024 - search.ebscohost.com
由于工业生产环境中的强噪声和其他环境激励, 隔膜泵单向阀不同故障的特征呈现一定的相似性
, 导致传统深度学习方法对单向阀的故障状态难以准确识别. 为解决这一问题 …
, 导致传统深度学习方法对单向阀的故障状态难以准确识别. 为解决这一问题 …
Fault detection using grouped support vector data description based on maximum information coefficient
Y ZHANG, W Zhenlei - CIESC Journal, 2023 - hgxb.cip.com.cn
There are often complex correlations among many variables in the industrial process.
Traditional fault detection models often ignore the differences in correlation between …
Traditional fault detection models often ignore the differences in correlation between …
Multi-source Heterogeneous Information Fusion Prototype Network Based on Compact-Sparse Representation for Rotating Machinery Few-Shot Fault Diagnosis
Y Zhang, D Han, P Shi - International conference on the Efficiency and …, 2023 - Springer
Scarce and singular fault monitoring data hinder the engineering application and
generalization of deep learning-based fault diagnosis models to a certain extent. To this …
generalization of deep learning-based fault diagnosis models to a certain extent. To this …
Hybrid Fault Diagnosis for High Speed Wire Rod Finishing Mill
N Tang, Q Zhang, C Wang, L Gao - 2023 6th International …, 2023 - ieeexplore.ieee.org
High speed wire rod finishing mill is a significant equipment in steel production enterprise.
However, due to the complex nature of this system-level equipment, fault location and real …
However, due to the complex nature of this system-level equipment, fault location and real …