Marine Propulsion Health Monitoring: Integrating Neural Networks and IoT Sensor Fusion in Predictive Maintenance-Reference-Cited by-同舟云学术

Marine Propulsion Health Monitoring: Integrating Neural Networks and IoT Sensor Fusion in Predictive Maintenance

Published:2024-03-15 Issue: Volume: Page:
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Container-title:2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT)
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Author:

Anitha K.¹,Vijayakumar R.²,Gnana Jeslin J.³,Elangovan K.⁴,Jagadeeswaran M.⁵,Srinivasan C.⁶

Affiliation:

1. School of Computing, SRM Institute of Science and Technology,Department of Computing Technologies,Chennai,Tamil Nadu,India

2. Mahendra Engineering College (Autonomous),Department of Electronics and Communication Engineering,Namakkal,Tamil Nadu,India

3. RMK College of Engineering and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

4. Dhanalakshmi Srinivasan Engineering College,Department of Mechanical Engineering,Chennai,Tamil Nadu,India

5. Vinayaka Missison's Kirupanandha Variyar Engineering College,Department of Computer Science and Engineering,Salem,Tamil Nadu,India

6. Saveetha University,Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532774/10532776/10533037.pdf?arnumber=10533037

Reference17 articles.

1. Propulsion Monitoring System for Digitized Ship Management: Preliminary Results from a Case Study

2. Smart Energy Management Using IoT-Based Embedded Systems

3. Energy Monitoring in Solar-Powered Buildings Using Internet of Things

4. IoT Enabled Wearable Technology Jacket for Tracking Patient Health and Safety System

5. IoT-Based Wearable Devices for Personal Safety and Accident Prevention Systems

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