Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments

Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments

Abstract Industry 4.0 represents the fourth industrial revolution, which is characterized by the incorporation of digital technologies, the Internet of Things (IoT), artificial intelligence, big data, and other advanced technologies into industrial processes. Industrial Machinery Health Management (...

Full description

Saved in:

Bibliographic Details
Main Authors:	Ali Saeed, Muazzam A. Khan, Usman Akram, Waeal J. Obidallah, Soyiba Jawed, Awais Ahmad
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Series:	Scientific Reports
Subjects:	Intelligent fault diagnosis Deep learning Transfer learning Industrial Internet of Things Edge computing Remaining useful life
Online Access:	https://doi.org/10.1038/s41598-024-79151-2
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis
by: Mohammed M. Farag
Published: (2025-01-01)

MCRCNet: A Bearing Fault Diagnosis Method for Unknown Faults Based on Transfer Learning
by: Guangyuan Xu, et al.
Published: (2025-01-01)

A Survey of Incipient Fault Diagnosis of Bearings Based on Data-drive
by: Li Zhaofei
Published: (2023-03-01)

Zero-shot intelligent fault diagnosis via semantic fusion embedding
by: Honghua Xu, et al.
Published: (2025-01-01)

A Target Domain-Specific Classifier Weight Partial Transfer Adversarial Network for Bearing Fault Diagnosis
by: Yin Bai, et al.
Published: (2025-01-01)

Rolling Bearing Fault Diagnosis Based on a Synchrosqueezing Wavelet Transform and a Transfer Residual Convolutional Neural Network
by: Zihao Zhai, et al.
Published: (2025-01-01)

THE REVIEW OF MECHANICAL FAULT DIAGNOSIS METHODS BASED ON CONVOLUTIONAL NEURAL NETWORK
by: WU DingHai, et al.
Published: (2020-01-01)

Gear Fault Diagnosis based on Distribution Adaptation Layer and Soft Label Learning
by: Zhenguo Jie, et al.
Published: (2022-05-01)

Gear Fault Diagnosis Method Based on Deep Transfer Learning
by: Liu Shihao, et al.
Published: (2023-05-01)

Fault diagnosis of rotating parts integrating transfer learning and ConvNeXt model
by: Zhikai Xing, et al.
Published: (2025-01-01)

A Deployment Method for Motor Fault Diagnosis Application Based on Edge Intelligence
by: Zheng Zhou, et al.
Published: (2024-12-01)

Identification Procedures as Tools for Fault Diagnosis of Rotating Machinery
by: Susanne Seibold, et al.
Published: (1995-01-01)

Research on unsupervised domain adaptive bearing fault diagnosis method
by: WU ShengKai, et al.
Published: (2024-06-01)

Gearbox Fault Diagnosis based on Time-frequency Combination Feature Extraction and Manifold Learning of MS-LTSA
by: Lingjun Xiao, et al.
Published: (2022-03-01)

Fault Detection and Diagnosis in Industry 4.0: A Review on Challenges and Opportunities
by: Denis Leite, et al.
Published: (2024-12-01)

Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning
by: Dinghui Wu, et al.
Published: (2020-11-01)

ROTATING MACHINERY FAULT DIAGNOSIS BASED ON TWO-DIMENSIONAL CONVOLUTION NEURAL NETWORK
by: ZHANG LiZhi, et al.
Published: (2020-01-01)

2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis
by: Benchao Li, et al.
Published: (2025-01-01)

A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions
by: Oumayma Jouini, et al.
Published: (2024-06-01)

A novel method for power transformer fault diagnosis considering imbalanced data samples
by: Jun Chen, et al.
Published: (2025-01-01)

Rolling Bearing Fault Diagnosis based on Wavelet and Deep Wavelet Auto-encoder
by: Xiaolei Du, et al.
Published: (2019-09-01)

A Fault Diagnosis Approach of Gear System based on Deep Learning Theory
by: Wenbo Xu, et al.
Published: (2020-08-01)

MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions
by: Wenhan Huang, et al.
Published: (2025-01-01)

Enhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices
by: Sumitra Nuanmeesri
Published: (2025-01-01)

Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11
by: Omar Rodríguez-Abreo, et al.
Published: (2024-12-01)

A BEARING DEEP LEARNING TRANSFER DIAGNOSIS METHOD BASED ON OPTIMIZATION OF SYMMETRIC POLAR COORDINATES
by: WU DingHai, et al.
Published: (2022-01-01)

A Review of Research on Fault Diagnosis of Gear Transmission Devices Based on Acoustic Signals
by: Zhang Linhang, et al.
Published: (2024-12-01)

Photovoltaic Array Fault Diagnosis and Localization Method Based on Modulated Photocurrent and Machine Learning
by: Yebo Tao, et al.
Published: (2024-12-01)

Fault and Severity Diagnosis Using Deep Learning for Self-Organizing Networks With Imbalanced and Small Datasets
by: Hsin-Chang Tsai, et al.
Published: (2025-01-01)

A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching
by: Chengyao Liu, et al.
Published: (2024-01-01)

Quantum computational infusion in extreme learning machines for early multi-cancer detection
by: Anas Bilal, et al.
Published: (2025-02-01)

Leveraging edge learning and game theory for intrusion detection in Internet of things
by: Haoran LIANG, et al.
Published: (2021-06-01)

Attention activation network for bearing fault diagnosis under various noise environments
by: Yu Zhang, et al.
Published: (2025-01-01)

Integrating Machine Learning for Predictive Maintenance on Resource-Constrained PLCs: A Feasibility Study
by: Riccardo Mennilli, et al.
Published: (2025-01-01)

FAULT DIAGNOSIS METHOD OF ROLLING BEARING BASED ON EEMD-CNN
by: LI SiQi, et al.
Published: (2020-01-01)

A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays
by: Farkhanda Aziz, et al.
Published: (2020-01-01)

Non-stationary signal combined analysis based fault diagnosis method
by: Zhe CHEN, et al.
Published: (2020-05-01)

Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine
by: FU Qiang, et al.
Published: (2024-01-01)

A Blind Source Extraction Method based on Self-learned Dictionary and Its Application in Fault Diagnosis of Bearing Multi-type Fault
by: Xingguo Cheng, et al.
Published: (2022-02-01)

Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis
by: Kevin Barrera-Llanga, et al.
Published: (2025-01-01)