Editorial: Special issue on Physics-informed machine learning enabling fault feature extraction and robust failure prognosis

Chao Hu; Kai Goebel; David Howey; Zhike Peng; Dong Wang; Peng Wang; Byeng D. Youn

doi:10.1016/j.ymssp.2023.110219

Editorial: Special issue on Physics-informed machine learning enabling fault feature extraction and robust failure prognosis

Chao Hu, Kai Goebel, David Howey, Zhike Peng, Dong Wang, Peng Wang, Byeng D. Youn

Research output: Contribution to journal › Editorial

4 Scopus citations

Original language	English
Article number	110219
Journal	Mechanical Systems and Signal Processing
Volume	192
DOIs	https://doi.org/10.1016/j.ymssp.2023.110219
State	Published - Jun 1 2023

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Civil and Structural Engineering
Aerospace Engineering
Mechanical Engineering
Computer Science Applications

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10.1016/j.ymssp.2023.110219

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title = "Editorial: Special issue on Physics-informed machine learning enabling fault feature extraction and robust failure prognosis",

author = "Chao Hu and Kai Goebel and David Howey and Zhike Peng and Dong Wang and Peng Wang and Youn, {Byeng D.}",

year = "2023",

month = jun,

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doi = "10.1016/j.ymssp.2023.110219",

language = "English",

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T2 - Special issue on Physics-informed machine learning enabling fault feature extraction and robust failure prognosis

AU - Hu, Chao

AU - Goebel, Kai

AU - Howey, David

AU - Peng, Zhike

AU - Wang, Dong

AU - Wang, Peng

AU - Youn, Byeng D.

PY - 2023/6/1

Y1 - 2023/6/1

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U2 - 10.1016/j.ymssp.2023.110219

DO - 10.1016/j.ymssp.2023.110219

M3 - Editorial

AN - SCOPUS:85148708028

SN - 0888-3270

VL - 192

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

M1 - 110219

ER -

Editorial: Special issue on Physics-informed machine learning enabling fault feature extraction and robust failure prognosis

ASJC Scopus subject areas

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