Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE-Reference-Cited by-同舟云学术

Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE

Published:2024 Issue: Volume:12 Page:29345-29361
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gawde Shreyas¹^ORCID,Patil Shruti²^ORCID,Kumar Satish²^ORCID,Kamat Pooja¹^ORCID,Kotecha Ketan²^ORCID,Alfarhood Sultan³^ORCID

Affiliation:

1. Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University) (SIU), Lavale, Pune, India

2. Symbiosis Centre for Applied Artificial Intelligence (SCAAI), Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University) (SIU), Lavale, Pune, India

3. Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Funder

Researchers Supporting Project

King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10440027.pdf?arnumber=10440027

Reference62 articles.

1. Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

2. Condition monitoring using image processing

3. An Explainable AI-Based Fault Diagnosis Model for Bearings

4. Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research

5. A cloud-based condition monitoring system for fault detection in rotating machines using PROFINET process data

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