Regression and Classification-Based Model Predictive Maintenance of Aircrafts Using Machine Learning

One of the main hurdles of Industry 4.0 is to predict Aircraft failures Since downtime costs money and reduces productivity, the ability to prevent failures is essential. Knowing how many cycles or RULs remain before a breakdown occurs is crucial for Aircraftry. Where possible under the same circums...

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Bibliographic Details
Main Authors: Banday, Aamir Shafi, Chohan, Jasgurpreet Singh, Kumar, Raman
Format: Conference Proceeding
Language:English
Subjects:
Aircraft failures
Preventive maintenance
RNN
RUL
Online Access:Request full text
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Summary:One of the main hurdles of Industry 4.0 is to predict Aircraft failures Since downtime costs money and reduces productivity, the ability to prevent failures is essential. Knowing how many cycles or RULs remain before a breakdown occurs is crucial for Aircraftry. Where possible under the same circumstances, the RUL estimations should be based on prior observations. The development of technologies that track equipment's present state is at the heart of Evaluate the influence research.. Despite the enormous research on this subject, no one universal strategy exists. The lack of a universal method is what drives this notion, which uses recurrent neural networks (RNN) for the monitoring of the proposed approach.
ISSN:2573-3079
DOI:10.1109/PDGC56933.2022.10053203