Methods for system monitoring and assessment
AssigneeHitachi, Ltd.
InventorsJie HU, Nobutaka KIMURA
Life of this patent
Estimating the term…
Abstract
A process monitoring system, the system comprising: one or more sensors; and a processor in communication with the one or more sensors, the processor is configured to: select a first system checkpoint for performing process monitoring on a robotic system; measure system variables using the one or more sensors at the first system checkpoint; capture one or more images of the robotic system using a vision sensor at the first system checkpoint; generate at least one prediction image of the robotic system using a prediction model with the system variables as input to the prediction model; and perform anomaly detection by comparing the one or more images of the robotic system against the at least one prediction image.
Claims20
A process monitoring system, the system comprising:
- one or more sensors;
- and
- a processor in communication with the one or more sensors, the processor is configured to:
- select a first system checkpoint for performing process monitoring on a robotic system;
- measure system variables using the one or more sensors at the first system checkpoint;
- capture one or more images of the robotic system using a vision sensor at the first system checkpoint;
- generate at least one prediction image of the robotic system using a prediction model with the system variables as input to the prediction model;
- and
- perform anomaly detection by comparing the one or more images of the robotic system against the at least one prediction image.
A process monitoring method, the method comprising:
- selecting, by a processor, a first system checkpoint for performing process monitoring on a system;
- measuring, by the processor, system variables using one or more sensors at the first system checkpoint;
- capturing, by the processor, one or more images of the system using a vision sensor at the first system checkpoint;
- generating, by the processor, at least one prediction image of the system using a prediction model with the system variables as input to the prediction model;
- and
- performing, by the processor, anomaly detection by comparing the one or more images of the system against the at least one prediction image.
Dependencies are inferred from the claim text.