公开(公告)号：US20210304634A1

公开(公告)日：2021-09-30

申请号：US16828725

申请日：2020-03-24

Applicant: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.

Inventor： Faye JULIANO ,  Nway Nway AUNG ,  Aimin ZHAO ,  Eng Chye LIM ,  Khai Jun KEK

IPC: G09B19/00 ,  G06K9/00 ,  G10L15/22 ,  G10L15/18 ,  G06F3/01 ,  G06K9/62

Abstract: A method for predicting a condition of living-being in an environment, the method including capturing image-data associated with the at-least one person and based thereupon determining a current-condition of the person; receiving content from a plurality of content-sources with respect to said at least one person being imaged, said content defined by at least one of text and statistics; defining one or more weighted parameters based on allocating a plurality of weights to at least one of the captured image data and the received content based on the current-condition; and predicting, by a predictive-analysis module, a condition of the at-least one person based on analysis of the one or more weighted parameters.

公开(公告)号：US20240085869A1

公开(公告)日：2024-03-14

申请号：US17942792

申请日：2022-09-12

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Sourabh Balasaheb JAGADALE ,  Kyaw Myo HTUN ,  Faye JULIANO ,  Myo MIN LATT ,  Eng Chye LIM

IPC: G05B13/04 ,  G05B13/02

CPC classification number: G05B13/048 ,  G05B13/0265

Abstract: Provided is a method for predicting an internal state of a machine. The method includes obtaining real time machine test data from a plurality of sensors installed in a test bench of the machine and identifying differences between the obtained real time machine test data and simulation data of a machine model. The method further includes updating the machine model by eliminating the identified differences and generating synthetic data corresponding to each of a normal condition and at least one deteriorated condition of the machine using the updated machine model. The method further includes detecting one or more deterioration levels of the machine over a period of time along with timestamp data based on a plurality of machine parameters using an Artificial Intelligence (AI) model and predicting a deterioration time period of the machine indicating an RUL of the machine based on the detected deterioration levels.