Guest Editorial for Artificial Intelligence for Machine Fault Diagnosis Special Section

科研成果: 期刊稿件 › 社论

1 引用（Scopus）

源语言	英语
文章编号	0800202
期刊	IEEE Open Journal of Instrumentation and Measurement
卷	1
DOI	https://doi.org/10.1109/OJIM.2022.3225889
出版状态	已出版 - 2022

访问文件

@article{bbbfe970f05e4a298c20b81c7b6f61d0,

title = "Guest Editorial for Artificial Intelligence for Machine Fault Diagnosis Special Section",

author = "Ruqiang Yan and Min Xia and Peng Wang",

year = "2022",

doi = "10.1109/OJIM.2022.3225889",

language = "英语",

volume = "1",

journal = "IEEE Open Journal of Instrumentation and Measurement",

issn = "2768-7236",

publisher = "Institute of Electrical and Electronics Engineers",

}

TY - JOUR

T1 - Guest Editorial for Artificial Intelligence for Machine Fault Diagnosis Special Section

AU - Yan, Ruqiang

AU - Xia, Min

AU - Wang, Peng

PY - 2022

Y1 - 2022

UR - https://www.scopus.com/pages/publications/85205402892

U2 - 10.1109/OJIM.2022.3225889

DO - 10.1109/OJIM.2022.3225889

M3 - 社论

AN - SCOPUS:85205402892

SN - 2768-7236

VL - 1

JO - IEEE Open Journal of Instrumentation and Measurement

JF - IEEE Open Journal of Instrumentation and Measurement

M1 - 0800202

ER -