Sensors Faults Classification and Faulty Signals Reconstruction Using Deep Learning-Reference-Cited by-同舟云学术

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Sensors Faults Classification and Faulty Signals Reconstruction Using Deep Learning

Published:2024 Issue: Volume:12 Page:100544-100558
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fatima Nayab¹^ORCID,Riaz Shazia²^ORCID,Ali Saqib¹^ORCID,Khan Rafiullah³^ORCID,Ullah Mohib³^ORCID,Kwak Daehan⁴^ORCID

Affiliation:

1. Department of Computer Science, University of Agriculture Faisalabad, Faisalabad, Pakistan

2. Department of Computer Science, Government College Women University Faisalabad, Faisalabad, Pakistan

3. School of Computing, Macquarie University, Sydney, Australia

4. Department of Computer Science and Technology, Kean University, Union, NJ, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10591993.pdf?arnumber=10591993

Reference39 articles.

1. Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach

2. Deep Learning-Based Fault Prediction in Wireless Sensor Network Embedded Cyber-Physical Systems for Industrial Processes

3. Sensor faults classification for SHM systems using deep learning-based method with Tsfresh features

4. A distributed sensor-fault detection and diagnosis framework using machine learning

5. CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning

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