Title:
技術装置のシステム挙動の標準値範囲からの許容されない偏差を判定する方法
Document Type and Number:
Japanese Patent JP7450027
Kind Code:
B2
Abstract:
A method determines an inadmissible deviation of a technical device using an artificial neural network which is supplied with input data and output data of the technical device in a learning phase. In a subsequent prediction phase, the neural network is only supplied with the input data, and comparative output data are calculated in the neural network and are compared to the output data of the technical device.
Inventors:
Romer, Achim
Application Number:
JP2022523262A
Publication Date:
March 14, 2024
Filing Date:
November 05, 2020
Export Citation:
Assignee:
ROBERT BOSCH GMBH
International Classes:
G06F11/07; G06F18/10; G06N3/045; G06N3/096
Domestic Patent References:
| JP2018192751A | ||||
| JP8029538A |
Other References:
WEN, T et al.,"Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning",arXiv.org [online],2019年05月,pp. 1-8,[retrieved on 2023.06.23], Retrieved from the Internet: ,
Attorney, Agent or Firm:
Reiji Oba
Hajime Takahashi
Go Yashima
Hajime Takahashi
Go Yashima