公开(公告)号：US11692910B2

公开(公告)日：2023-07-04

申请号：US17288602

申请日：2019-10-29

Applicant: Japan Aerospace Exploration Agency

Inventor： Kaname Kawatsu ,  Seiji Tsutsumi ,  Miki Hirabayashi

IPC: G01M99/00 ,  G05B23/02

CPC classification number: G01M99/00 ,  G05B23/0243

Abstract: An abnormality diagnostic device includes a diagnoser configured to diagnose a type of abnormality that occurs in an abnormality diagnostic target on the basis of differences between abnormality simulation results for each type of abnormalities obtained by simulating a plurality of types of abnormalities in the abnormality diagnostic target and a plurality of time-series observation results obtained by observing the abnormality diagnostic target in time series using a plurality of detectors.

公开(公告)号：US11794891B2

公开(公告)日：2023-10-24

申请号：US17413896

申请日：2019-07-19

Applicant: JAPAN AEROSPACE EXPLORATION AGENCY

Inventor： Eiji Shima ,  Seiji Tsutsumi ,  Keiichiro Fujimoto

IPC: B64C29/00 ,  B64C9/00 ,  B64D27/24

CPC classification number: B64C29/0033 ,  B64C9/00 ,  B64D27/24 ,  B64C2009/005

Abstract: An aerial vehicle includes a propulsion unit and a fuselage unit. The propulsion unit includes a rotary shaft extending in a first direction and thrust producing mechanisms provided at both ends of the rotary shaft and produces a propulsion force for flying in air. The fuselage unit is suspended from the propulsion unit below the rotary shaft, has a center of gravity at a position below the rotary shaft, is configured to freely rotate around the rotary shaft, and is capable of storing an article.

公开(公告)号：US11669080B2

公开(公告)日：2023-06-06

申请号：US17288611

申请日：2019-10-29

Applicant: Japan Aerospace Exploration Agency

Inventor： Seiji Tsutsumi ,  Miki Hirabayashi

IPC: G05B23/02 ,  G01D21/02

CPC classification number: G05B23/0221 ,  G01D21/02 ,  G01D2218/10

Abstract: An abnormality detection device includes an acquirer configured to acquire a plurality of detection results of a plurality of sensors that have detected a state of a detection target at predetermined time intervals and an estimator configured to estimate a specific sensor among the plurality of sensors on the basis of a plurality of mode information acquisition process data elements for enabling various types of feature extraction according to properties of the abnormality obtained from a plurality of detection results acquired by the acquirer.