Unsupervised Health Indicator Construction by a Novel Degradation-Trend-Constrained Variational Autoencoder and Its Applications

Health indicator (HI) affects the accuracy and reliability of the remaining useful life (RUL) prediction model. The hidden variables of variational autoencoder (VAE) can represent the HI values for a life-cycle dataset with obvious degradation trend. However, for an irregular dataset of a rotary mac...

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Bibliographic Details

Published in:	IEEE/ASME transactions on mechatronics Vol. 27; no. 3; pp. 1447 - 1456
Main Authors:	Qin, Yi, Zhou, Jianghong, Chen, Dingliang
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Constraints Datasets Degradation Feature extraction Gears Health indicator (HI) Mechatronics multidimensional features nonsupervision Prediction models remaining useful life (RUL) Rotary machines variational autoencoder (VAE) Vibrations
ISSN:	1083-4435, 1941-014X
Online Access:	Get full text
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