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US 2025/0146842 A1Published application
Anomaly detection in distributed fiber sensing systems using llms
AssigneeNEC Laboratories America, Inc.
InventorsYangmin Ding, Ting Wang, Yue Tian, Sarper Ozharar, Zhuocheng Jiang, Yanchao Wang
Life of this patent
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Abstract
Methods and systems for anomaly detection include measuring time-series data about a system using an optical sensing system. The time-series data is adapted to natural language data. One or more anomaly detection models are selected based on the natural language data and a task. An anomaly is detected in the system using the selected one or more anomaly detection models. A corrective action is performed responsive to the anomaly.
Claims20
A computer-implemented method for anomaly detection, comprising:
- measuring time-series data about a system using an optical sensing system;
- adapting the time-series data to natural language data;
- selecting one or more of a plurality of anomaly detection models based on the natural language data and a task;
- detecting an anomaly in the system using the selected one or more anomaly detection models;
- and
- performing a corrective action responsive to the anomaly.
3 more elements
A system for anomaly detection, comprising:
- a hardware processor;
- and
- a memory that stores a computer program which, when executed by the hardware processor, causes the hardware processor to:
- measure time-series data about a system using an optical sensing system;
- adapt the time-series data to natural language data;
- select one or more of a plurality of anomaly detection models based on the natural language data and a task;
- detect an anomaly in the system using the selected one or more anomaly detection models;
- and
- perform a corrective action responsive to the anomaly.
6 more elements
Dependencies are inferred from the claim text.