An Efficient Decoupling Approach for Non-probabilistic Reliability-Based Design Optimization of Electrical Machines Considering Interval Uncertainties

Zheng, J; Sun, K; Ma, B; Zhu, J; Lei, G

An Efficient Decoupling Approach for Non-probabilistic Reliability-Based Design Optimization of Electrical Machines Considering Interval Uncertainties

Zheng, J Sun, K Ma, B Zhu, J

Lei, G

Permalink

Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings, 2022, 00, pp. 1-2
Issue Date:: 2022-01-01

Closed Access

	Filename	Description	Size
	An_Efficient_Decoupling_Approach_for_Non-probabilistic_Reliability-Based_Design_Optimization_of_Electrical_Machines_Considering_Interval_Uncertainties.pdf	Published version	257.37 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zheng, J
dc.contributor.author	Sun, K
dc.contributor.author	Ma, B
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.date	2022-10-24
dc.date.accessioned	2023-04-13T03:35:23Z
dc.date.available	2023-04-13T03:35:23Z
dc.date.issued	2022-01-01
dc.identifier.citation	CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings, 2022, 00, pp. 1-2
dc.identifier.isbn	9781665468336
dc.identifier.uri	http://hdl.handle.net/10453/169743
dc.description.abstract	In practice, due to the difficulty in obtaining the precise probability distributions of the uncertain variables, the stochastic reliability-based design optimization (RBDO) methods can hardly be effective in various cases. On contrary, the variation intervals of the uncertain parameter can be relatively easily achieved. In terms of this condition, an efficient sequential optimization and reliability assessment method of decoupled scheme is developed in this paper for the non-probabilistic RBDO (NRBDO) of electrical machines with interval uncertainty.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings
dc.relation.ispartof	2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC)
dc.relation.isbasedon	10.1109/CEFC55061.2022.9940865
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	An Efficient Decoupling Approach for Non-probabilistic Reliability-Based Design Optimization of Electrical Machines Considering Interval Uncertainties
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-13T03:35:22Z
pubs.finish-date	2022-10-26
pubs.publication-status	Published
pubs.start-date	2022-10-24
pubs.volume	00

Abstract:

In practice, due to the difficulty in obtaining the precise probability distributions of the uncertain variables, the stochastic reliability-based design optimization (RBDO) methods can hardly be effective in various cases. On contrary, the variation intervals of the uncertain parameter can be relatively easily achieved. In terms of this condition, an efficient sequential optimization and reliability assessment method of decoupled scheme is developed in this paper for the non-probabilistic RBDO (NRBDO) of electrical machines with interval uncertainty.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/169743