Chadha, Gavneet Singh; Panambilly, Ambarish; Schwung, Andreas; Ding, Steven X.:
Bidirectional deep recurrent neural networks for process fault classification
In: ISA Transactions, Vol. 106 (2020), pp. 330 - 342
2020article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
Bidirectional deep recurrent neural networks for process fault classification
Author:
Chadha, Gavneet Singh
Other
corresponding author
;Panambilly, Ambarish
;Schwung, Andreas
;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
Year of publication:
2020
Open Access?:
Closed access
DOI
10.1016/j.isatra.2020.07.011
Web of Science ID
000598662200008
PubMed ID
32684422
Scopus ID
85087942640
Language of text:
English
Appears in
ISA Transactions
Title in English (abbreviated):
ISA Trans
Place of publication:
Kidlington
Publisher:
ISA - Instrumentation, Systems, and Automation Society
in:
Vol. 106 (2020), pp. 330 - 342
ISSN
0019-0578 Show availability online & print
ISSN
1879-2022 Show availability online & print
ZDB ID
2012746-7
Library shelfmark:
79 Z 112
Keyword, Topic:
Bidirectional long-short term memory ; Condition monitoring ; Deep learning ; Fault detection and classification ; Recurrent neural networks ; Time series analysis
Type of resource:
Text
DESTATIS Subject Classification:
7100 Elektrotechnik allgemein