A general process model for unanticipated state recognition of a telescope drive system

Abstract This paper presents a three-layer general process model for unanticipated state recognition in a telescope drive system, consisting of an anticipated fault diagnosis layer, an unanticipated normal state isolation layer, and an unanticipated fault state recognition layer. It is proposed for...

Full description

Bibliographic Details
Published in:Publications of the Astronomical Society of Japan
Main Authors: Li, Yun, Yang, Shihai, Wu, Jiajia, Gu, Bozhong
Other Authors: National Natural Science Foundation of China, National Astronomical Observatories, Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2021
Subjects:
Online Access:http://dx.doi.org/10.1093/pasj/psaa117
https://academic.oup.com/pasj/article-pdf/73/1/230/54654685/psaa117.pdf
id croxfordunivpr:10.1093/pasj/psaa117
record_format openpolar
spelling croxfordunivpr:10.1093/pasj/psaa117 2024-01-21T10:01:12+01:00 A general process model for unanticipated state recognition of a telescope drive system Li, Yun Yang, Shihai Wu, Jiajia Gu, Bozhong National Natural Science Foundation of China National Astronomical Observatories Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences 2021 http://dx.doi.org/10.1093/pasj/psaa117 https://academic.oup.com/pasj/article-pdf/73/1/230/54654685/psaa117.pdf en eng Oxford University Press (OUP) https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model Publications of the Astronomical Society of Japan volume 73, issue 1, page 230-239 ISSN 0004-6264 2053-051X Space and Planetary Science Astronomy and Astrophysics journal-article 2021 croxfordunivpr https://doi.org/10.1093/pasj/psaa117 2023-12-22T09:42:30Z Abstract This paper presents a three-layer general process model for unanticipated state recognition in a telescope drive system, consisting of an anticipated fault diagnosis layer, an unanticipated normal state isolation layer, and an unanticipated fault state recognition layer. It is proposed for the first time to subdivide the unanticipated state into an unanticipated normal state and an unanticipated fault state in this paper, and to study their theories separately. Unanticipated normal state isolation rules based on angle deviation and amplitude deviation are established, as are unanticipated fault state recognition rules based on angle deviation and deviation contribution factor. Finally, normal operation data of the Antarctic Survey Telescope (AST3-3) combined with fault implantation was used to verify the validity of the model. The results show that the method can effectively carry out isolation of the unanticipated normal state and identification of the unanticipated fault state. Article in Journal/Newspaper Antarc* Antarctic Oxford University Press (via Crossref) Antarctic The Antarctic Publications of the Astronomical Society of Japan 73 1 230 239
institution Open Polar
collection Oxford University Press (via Crossref)
op_collection_id croxfordunivpr
language English
topic Space and Planetary Science
Astronomy and Astrophysics
spellingShingle Space and Planetary Science
Astronomy and Astrophysics
Li, Yun
Yang, Shihai
Wu, Jiajia
Gu, Bozhong
A general process model for unanticipated state recognition of a telescope drive system
topic_facet Space and Planetary Science
Astronomy and Astrophysics
description Abstract This paper presents a three-layer general process model for unanticipated state recognition in a telescope drive system, consisting of an anticipated fault diagnosis layer, an unanticipated normal state isolation layer, and an unanticipated fault state recognition layer. It is proposed for the first time to subdivide the unanticipated state into an unanticipated normal state and an unanticipated fault state in this paper, and to study their theories separately. Unanticipated normal state isolation rules based on angle deviation and amplitude deviation are established, as are unanticipated fault state recognition rules based on angle deviation and deviation contribution factor. Finally, normal operation data of the Antarctic Survey Telescope (AST3-3) combined with fault implantation was used to verify the validity of the model. The results show that the method can effectively carry out isolation of the unanticipated normal state and identification of the unanticipated fault state.
author2 National Natural Science Foundation of China
National Astronomical Observatories
Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences
format Article in Journal/Newspaper
author Li, Yun
Yang, Shihai
Wu, Jiajia
Gu, Bozhong
author_facet Li, Yun
Yang, Shihai
Wu, Jiajia
Gu, Bozhong
author_sort Li, Yun
title A general process model for unanticipated state recognition of a telescope drive system
title_short A general process model for unanticipated state recognition of a telescope drive system
title_full A general process model for unanticipated state recognition of a telescope drive system
title_fullStr A general process model for unanticipated state recognition of a telescope drive system
title_full_unstemmed A general process model for unanticipated state recognition of a telescope drive system
title_sort general process model for unanticipated state recognition of a telescope drive system
publisher Oxford University Press (OUP)
publishDate 2021
url http://dx.doi.org/10.1093/pasj/psaa117
https://academic.oup.com/pasj/article-pdf/73/1/230/54654685/psaa117.pdf
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_source Publications of the Astronomical Society of Japan
volume 73, issue 1, page 230-239
ISSN 0004-6264 2053-051X
op_rights https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model
op_doi https://doi.org/10.1093/pasj/psaa117
container_title Publications of the Astronomical Society of Japan
container_volume 73
container_issue 1
container_start_page 230
op_container_end_page 239
_version_ 1788691005560586240