Explainable AI-based Shapley Additive Explanations for Remaining Useful Life Prediction using NASA Turbofan Engine Dataset-Reference-Cited by-同舟云学术

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Explainable AI-based Shapley Additive Explanations for Remaining Useful Life Prediction using NASA Turbofan Engine Dataset

Published:2024-04-13 Issue: Volume:43 Page:1-5
ISSN:
Container-title:2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)
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Author:

Seebold Patrick¹,Kaye Murali Krishna²,Kim Sangyeon³,Nam Chang S.⁴

Affiliation:

1. North Carolina State Unversity Raleigh,Department of Psychology,United Sates

2. Kettering University Michigan,Department of Computer Science,USA

3. Institute of Engineering Research, Korea University,Seoul,Republic of Korea

4. Kettering University Michigan,Department of Industrial and Manufacturing Engineering,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10585267/10585616/10586061.pdf?arnumber=10586061

Reference13 articles.

1. Machine performance monitoring and proactive maintenance in computer-integrated manufacturing: review and perspective

2. Predictive Maintenance and Fault Monitoring Enabled by Machine Learning: Experimental Analysis of a TA-48 Multistage Centrifugal Plant Compressor

3. The waddington effect, C4U-compliance, and subsequent impact on force readiness;Ignizio;Phalanx,2010

4. A Data-driven Approach for Remaining Useful Life Prediction of Aircraft Engines

5. Monitoring and Predictive Maintenance of Centrifugal Pumps Based on Smart Sensors

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