Cargando…

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

At present, rotating machinery is widely used in all walks of life and has become the key equipment in many production processes. It is of great significance to strengthen the condition monitoring of rotating machinery, timely diagnose and eliminate faults to ensure the safe and efficient operation...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Rongcai, Zhan, Xianbiao, Bai, Huajun, Dong, Enzhi, Cheng, Zhonghua, Jia, Xisheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611809/ https://www.ncbi.nlm.nih.gov/pubmed/36295997 http://dx.doi.org/10.3390/mi13101644

Ejemplares similares

Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine
por: Yan, Hao, et al.
Publicado: (2022)

A Novel Method for Fault Diagnosis of Rotating Machinery
por: Tang, Meng, et al.
Publicado: (2022)

Research on Diesel Engine Fault Status Identification Method Based on Synchro Squeezing S-Transform and Vision Transformer
por: Li, Siyu, et al.
Publicado: (2023)

Fault Diagnosis for Rotating Machinery: A Method based on Image Processing
por: Lu, Chen, et al.
Publicado: (2016)

An Imbalanced Fault Diagnosis Method Based on TFFO and CNN for Rotating Machinery
por: Zhang, Long, et al.
Publicado: (2022)

Diagnosis of Multiple Faults in Rotating Machinery Using Ensemble Learning
por: Inyang, Udeme Ibanga, et al.
Publicado: (2023)

Intelligent fault diagnosis and remaining useful life prediction of rotating machinery
por: Lei, Yaguo
Publicado: (2016)

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
por: Wei, Yu, et al.
Publicado: (2019)

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery
por: Jia, Sixiang, et al.
Publicado: (2021)

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
por: Guo, Sheng, et al.
Publicado: (2018)

Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks
por: Li, Hongmei, et al.
Publicado: (2020)

A New Fault Feature Extraction Method for Rotating Machinery Based on Multiple Sensors
por: Miao, Feng, et al.
Publicado: (2020)

Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition
por: Lei, Yaguo, et al.
Publicado: (2013)

Improved Variational Mode Decomposition and CNN for Intelligent Rotating Machinery Fault Diagnosis
por: Xiao, Qiyang, et al.
Publicado: (2022)

Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning
por: Bai, Huajun, et al.
Publicado: (2022)

LMD Method and Multi-Class RWSVM of Fault Diagnosis for Rotating Machinery Using Condition Monitoring Information
por: Liu, Zhiwen, et al.
Publicado: (2013)

A Multimodal Feature Fusion-Based Deep Learning Method for Online Fault Diagnosis of Rotating Machinery
por: Zhou, Funa, et al.
Publicado: (2018)

Rotating Machinery Fault Diagnosis Method by Combining Time-Frequency Domain Features and CNN Knowledge Transfer
por: Ye, Lihao, et al.
Publicado: (2021)

Infrared thermography in the diagnosis and management of vasculitis
por: Lin, Peter H., et al.
Publicado: (2017)

Opportunistic Maintenance Strategy for Complex Equipment with a Genetic Algorithm Considering Failure Dependence: A Two-Dimensional Warranty Perspective
por: Dong, Enzhi, et al.
Publicado: (2022)

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
por: Li, Chuan, et al.
Publicado: (2016)

A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery
por: Ma, Shangjun, et al.
Publicado: (2019)

Feature Space Transformation for Fault Diagnosis of Rotating Machinery under Different Working Conditions
por: Jang, Gye-Bong, et al.
Publicado: (2021)

Rotating machinery fault diagnosis based on a novel lightweight convolutional neural network
por: Yan, Jing, et al.
Publicado: (2021)

Ensemble Dilated Convolutional Neural Network and Its Application in Rotating Machinery Fault Diagnosis
por: Cai, Yuxiang, et al.
Publicado: (2022)

A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks
por: Yang, Jingli, et al.
Publicado: (2020)

Fault Diagnosis of Rotating Machinery Based on Improved Self-Supervised Learning Method and Very Few Labeled Samples
por: Wei, Meirong, et al.
Publicado: (2021)

Multi-Stream Convolutional Neural Networks for Rotating Machinery Fault Diagnosis under Noise and Trend Items
por: Dong, Han, et al.
Publicado: (2022)

Intelligent Method for Diagnosing Structural Faults of Rotating Machinery Using Ant Colony Optimization
por: Li, Ke, et al.
Publicado: (2011)

Infrared Thermography Smart Sensor for the Condition Monitoring of Gearbox and Bearings Faults in Induction Motors
por: Alvarado-Hernandez, Alvaro Ivan, et al.
Publicado: (2022)

A Low-Delay Lightweight Recurrent Neural Network (LLRNN) for Rotating Machinery Fault Diagnosis
por: Liu, Wenkai, et al.
Publicado: (2019)

The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery
por: Wang, Xianzhi, et al.
Publicado: (2019)

Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis
por: Faysal, Atik, et al.
Publicado: (2021)

Novel Investigation of Higher Order Spectral Technologies for Fault Diagnosis of Motor-Based Rotating Machinery
por: Ciszewski, Tomasz, et al.
Publicado: (2023)

Application of infrared thermography in computer aided diagnosis
por: Faust, Oliver, et al.
Publicado: (2014)

Machine learning for fault analysis in rotating machinery: A comprehensive review
por: Das, Oguzhan, et al.
Publicado: (2023)

An improved wrapper-based feature selection method for machinery fault diagnosis
por: Hui, Kar Hoou, et al.
Publicado: (2017)

An Improved MobileNet Network with Wavelet Energy and Global Average Pooling for Rotating Machinery Fault Diagnosis
por: Zhu, Fu, et al.
Publicado: (2022)

Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification
por: Mochammad, Solichin, et al.
Publicado: (2022)

A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion
por: Gong, Wenfeng, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_2o30rentk70t177d2ievnsmu27