An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme

Author:

Yu Wennian,Kim II Yong,Mechefske Chris

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference30 articles.

1. Remaining useful life estimation in prognostics using deep convolution neural networks;Li;Reliab Eng Syst Saf,2018

2. An unsupervised feature extraction method for nonlinear deterioration process of complex equipment under multi dimensional no-label signals. Sensors Actuators;Chen;A Phys,2018

3. Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture;Ellefsen;Reliab Eng Syst Saf,2019

4. Remaining useful life prediction of aircraft engine based on degradation pattern learning;Zhao;Reliab Eng Syst Saf,2017

5. Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme;Yu;Mech Syst Signal Process,2019

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