公开(公告)号：WO2020242553A1

公开(公告)日：2020-12-03

申请号：PCT/US2020/022531

申请日：2020-03-13

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： NATSUMEDA, Masanao ,  CHENG, Wei ,  CHEN, Haifeng ,  CHEN, Yuncong

IPC: G05B23/02 ,  G06F11/30 ,  G06N3/08

Abstract: Methods and systems for predicting failure in a cyber-physical system include determining a prediction index based on a comparison of input time series, from respective sensors in a cyber-physical system, to failure precursors. A failure precursor is detected in the input time series, responsive to a comparison of the prediction index to a threshold. A subset of the sensors associated with the failure precursor is determined, based on a gradient of the prediction index. A corrective action is performed responsive to the determined subset of sensors.

公开(公告)号：WO2022216375A1

公开(公告)日：2022-10-13

申请号：PCT/US2022/017429

申请日：2022-02-23

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： NATSUMEDA, Masanao ,  CHENG, Wei ,  MIZOGUCHI, Takehiko ,  CHEN, Haifeng

IPC: G06N3/04 ,  G06N3/08

Abstract: Methods and systems for training a neural network include training models for respective sensor groups in a cyber-physical system. Combinations of sensor groups and operational modes are sampled. A combination model is trained for each of the sampled combinations. A best combination model is determined based on performance measured during training. The best combination model is fine-tuned.

公开(公告)号：WO2020092327A1

公开(公告)日：2020-05-07

申请号：PCT/US2019/058505

申请日：2019-10-29

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： NATSUMEDA, Masanao ,  CHEN, Haifeng

IPC: G06F11/07 ,  G06F11/30 ,  B64G1/52 ,  B64G1/66

Abstract: Methods and systems for preventing spacecraft damage include identifying (302) a space weather event that corresponds to a spacecraft system failure. A spacecraft system is determined (308) that causes the spacecraft system failure, triggered by the space weather event. A corrective action (310) is performed on the determined spacecraft system to prevent spacecraft system failures from being triggered by future space weather events.

公开(公告)号：WO2022072772A1

公开(公告)日：2022-04-07

申请号：PCT/US2021/053078

申请日：2021-10-01

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： CHEN, Yuncong ,  CHEN, Zhengzhang ,  LUMEZANU, Cristian ,  NATSUMEDA, Masanao ,  YU, Xiao ,  CHENG, Wei ,  MIZOGUCHI, Takehiko ,  CHEN, Haifeng

IPC: G06N3/08 ,  G06N3/04 ,  G06N5/02

Abstract: A method for system metric prediction and influential events identification by concurrently employing metric logs and event logs is presented. The method includes concurrently modeling (1301) multivariate metric series and individual events in event series by a multi-stream recurrent neural network (RNN) to improve prediction of future metrics, where the multi- stream RNN includes a series of RNNs, one RNN for each metric and one RNN for each event sequence and modeling (1303) causality relations between the multivariate metric series and the individual events in the event series by employing an attention mechanism to identify target events most responsible for fluctuations of one or more target metrics.

公开(公告)号：WO2022216599A1

公开(公告)日：2022-10-13

申请号：PCT/US2022/023299

申请日：2022-04-04

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： CHEN, Yuncong ,  LUMEZANU, Cristian ,  CHENG, Wei ,  MIZOGUCHI, Takehiko ,  NATSUMEDA, Masanao ,  CHEN, Haifeng

IPC: G06F11/30 ,  G06F40/284 ,  G06F40/169 ,  G06N20/00 ,  G06N3/04

Abstract: A method for explaining sensor time series data in natural language is presented. The method includes training (1001) a neural network model with text-annotated time series data, the neural network model including a time series encoder and a text generator, allowing (1003) a human operator to select a time series segment from the text-annotated time series data, the time series segment processed by the time series encoder, outputting (1005), from the time series encoder, a sequence of hidden state vectors, one for each timestep, and generating (1007) readable explanatory texts for the human operator based on the selected time series segment, the readable explanatory texts being a set of comment texts explaining and interpreting the selected time series segment in a plurality of different ways.