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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Veröffentlicht in:	IEEE/ASME transactions on mechatronics Jg. 27; H. 3; S. 1447 - 1456
Hauptverfasser:	Qin, Yi, Zhou, Jianghong, Chen, Dingliang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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