Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics

Author:

Singh Shubhendu KumarORCID,Khawale Raj Pradip,Hazarika Subhashis,Bhatt Ankur,Gainey Brian,Lawler Benjamin,Rai Rahul

Funder

Office of Naval Research

Publisher

Springer Science and Business Media LLC

Reference80 articles.

1. shubhes/navicengine. https://github.com/shubhes/NavicEngine. (Accessed on 08/18/2023)

2. Agasthian A, Pamula R, Kumaraswamidhas LA (2019) Fault classification and detection in wind turbine using cuckoo-optimized support vector machine. Neural Comput Appl 31:1503–1511

3. Aljemely AH, Xuan J, Al-Azzawi O, Jawad FK (2022) Intelligent fault diagnosis of rolling bearings based on lstm with large margin nearest neighbor algorithm. Neural Comput Appl 34(22):19401–19421

4. Ba Y, Zhao G, Kadambi A (2019) Blending diverse physical priors with neural networks. arXiv preprint arXiv:1910.00201

5. Bonissone PP, Johnson HE (1984) Expert system for diesel electric locomotive repair. Human Syst Manage 4(4):255–262

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