PREDICTION OF REMAINING LIFETIME OF TURBOFAN  ENGINE USING MACHINE LEARNING ALGORITHM(LSTM)

Neetha Das; Divya R; Gagana R; Meghala N; V Saanchitha

PREDICTION OF REMAINING LIFETIME OF TURBOFAN ENGINE USING MACHINE LEARNING ALGORITHM(LSTM)

May 2023

Vol-9, Issue-3

Paper ID: 20299

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

Authorization Predictive Maintenance Machine Learning

Abstract

Maintenance of equipment is a critical activity for any business involving machines. Predictive maintenance is the method of scheduling maintenance based on the prediction about the failure time of any equipment. The prediction can be done by analyzing the data measurements from the equipment. Machine learning is a technology by which the outcomes can be predicted based on a model prepared by training it on past input data and its output behavior. The model developed can be used to predict machine failure before it actually happens.In this paper, a comparative study of existing set of machine learning algorithm to predict the Remaining Lifetime of aircraft’s turbo fan engine is done. The machine learning model were constructed based on the datasets from turbo fan engine data from the Prognostics Data Repository of NASA. Using a training set, a model was constructed and was verified with a test data set. The results obtained were compared with the actual results to calculate the accuracy and the algorithm that results in maximum accuracy is identified.

License

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Author Information

#	Name	Institute / Affiliation
1	Neetha Das	Bangalore Institute of Technology
2	Divya R	Bangalore Institute of Technology
3	Gagana R	Bangalore Institute of Technology
4	Meghala N	Bangalore Institute of Technology
5	V Saanchitha	Bangalore Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Das, Neetha, R, Divya, R, Gagana, N, Meghala, & Saanchitha, V (2023). PREDICTION OF REMAINING LIFETIME OF TURBOFAN ENGINE USING MACHINE LEARNING ALGORITHM(LSTM). International Journal of Advance Research and Innovative Ideas In Education, 9(3), 1596-1601.

MLA Style

Das, Neetha, et al. "PREDICTION OF REMAINING LIFETIME OF TURBOFAN ENGINE USING MACHINE LEARNING ALGORITHM(LSTM)." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 1596-1601.

IEEE Style

Neetha Das, Divya R, Gagana R, Meghala N, and V Saanchitha, "PREDICTION OF REMAINING LIFETIME OF TURBOFAN ENGINE USING MACHINE LEARNING ALGORITHM(LSTM)," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 1596-1601, 2023.

Vancouver Style

Das Neetha, R Divya, R Gagana, N Meghala, Saanchitha V. PREDICTION OF REMAINING LIFETIME OF TURBOFAN ENGINE USING MACHINE LEARNING ALGORITHM(LSTM). International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):1596-1601.

Harvard Style

Das, Neetha, R, Divya, R, Gagana, N, Meghala, & Saanchitha, V (2023) 'PREDICTION OF REMAINING LIFETIME OF TURBOFAN ENGINE USING MACHINE LEARNING ALGORITHM(LSTM)', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 1596-1601.

Chicago Style

Das, Neetha, et al. "PREDICTION OF REMAINING LIFETIME OF TURBOFAN ENGINE USING MACHINE LEARNING ALGORITHM(LSTM)." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1596-1601.

Turabian Style

Das, Neetha, et al. "PREDICTION OF REMAINING LIFETIME OF TURBOFAN ENGINE USING MACHINE LEARNING ALGORITHM(LSTM)." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1596-1601.