文献
J-GLOBAL ID:202102265424877531
整理番号:21A3171698
知的クロスドメイン軸受ヘルスモニタリングのためのWelsh損失による階層的記号動的エントロピーと最大平均および共分散不一致に基づく移動ジョイントマッチングの強化【JST・京大機械翻訳】
Enhanced hierarchical symbolic dynamic entropy and maximum mean and covariance discrepancy-based transfer joint matching with Welsh loss for intelligent cross-domain bearing health monitoring
著者 (5件):
Yang Cheng
(School of Mechanical Engineering, Southeast University, Nanjing 211189, People’s Republic of China)
,
Yang Cheng
(Faculty of Information Technology and Communication Sciences, Tampere University, Tampere 33720, Finland)
,
Jia Minping
(School of Mechanical Engineering, Southeast University, Nanjing 211189, People’s Republic of China)
,
Li Zhinong
(Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, People’s Republic of China)
,
Gabbouj Moncef
(Faculty of Information Technology and Communication Sciences, Tampere University, Tampere 33720, Finland)
資料名:
Mechanical Systems and Signal Processing
(Mechanical Systems and Signal Processing)
巻:
165
ページ:
Null
発行年:
2022年
JST資料番号:
T0514A
ISSN:
0888-3270
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)