Forecasting failure-prone air pressure systems (FFAPS) in vehicles using machine learning-Reference-Cited by-同舟云学术

Forecasting failure-prone air pressure systems (FFAPS) in vehicles using machine learning

Published:2023-11-21 Issue:1 Volume:65 Page:1-13
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Rahman Mohamed Safiyur¹²,Sumathy V.³

Affiliation:

1. Government College of Engineering, Dharmapuri, Tamilnadu, India

2. AAM India Manufacturing Corporation Pvt Ltd., Chennai, Tamilnadu, India

3. Electronics and Communication Engineering, Government College of Engineering, Settikarai, Dharmapuri, Tamilnadu, India

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2023.2269514

Reference24 articles.

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2. Ranasinghe GD Parlikad AK. Generating real-valued failure data for prognostics under the constraints of restricted data availability. Proceedings IEEE Internati onal Conference Prognostics Health Manage (ICPHM); Jun. 2019. p. 1–8.

3. Bilevel Feature Extraction-Based Text Mining for Fault Diagnosis of Railway Systems

4. Integrative Design of an Emergency Resource Predicting-Scheduling-Repairing Method for Rail Track Faults

5. Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends

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