Patents

US 12716804 B2: Generative adversarial networks for structural damage diagnostics

Granted
2026-08-25
Filed
2023-04-18 application 18302393
Type
Utility · 18 claims
Elsewhere
Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗

Abstract

Described herein relates to a system and method utilizing a novel Wasserstein Deep Convolutional GAN with Gradient Penalty (“WDCGAN-GP”) and Cycle-Consistent Wasserstein Deep Convolutional Generative Adversarial Networks with Gradient Penalty (“CycleWDCGAN-GP) for automatically diagnosing a condition of at least one structure during the life cycle of the at least one structure. In an embodiment, by using WDCGAN-GP and/or CycleWDCGAN-GP architecture, at least one synthetic dataset may be used to support and/or train at least one dataset of Deep-Learning (“DL”) architecture, increasing accuracy and/or efficiency of the structure health monitoring system. Additionally, in an embodiment, the structural health monitoring system may be configured to diagnosis at least one condition of at least one alternative structure based on the at least one trained dataset of the at least one structure.

Source: PTBLXML, file of 2026-08-25 (ipgb20260825.xml).

Assignees

AssigneeTypePlaceAlso on furp.orgSource
University of Central Florida Research Foundation, Inc. 971 patentsUS company or organizationOrlando, FLUNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, INC. State business registration EXACT high confidence: identical full name and state
UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION INC Nonprofit EXACT high confidence: identical full name and state
PTBLXML, file of 2026-08-25
Iowa State University Research Foundation, Inc. 581 patentsUS company or organizationAmes, IAPTBLXML, file of 2026-08-25

Inventors

InventorPlacePatentsPerson pageSource
Furkan LuleciOrlando, FLPTBLXML, file of 2026-08-25
F. Necati CatbasOrlando, FLPTBLXML, file of 2026-08-25
Onur AvciMorgantown, WVPTBLXML, file of 2026-08-25

CPC categories

SubclassCategoryFirst groupSource
G01MTesting static or dynamic balance of machines or structures; testing of structures or apparatus, not otherwise provided forG01M7/00PTBLXML, file of 2026-08-25
G06NComputing arrangements based on specific computational modelsG06N3/094PTBLXML, file of 2026-08-25

Cooperative Patent Classification, as currently assigned (one row per subclass).

Assignments and security interests

No recorded assignments or security interests on file for this patent.

USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.