| CPC G05B 23/024 (2013.01) [G01H 17/00 (2013.01); G05B 23/0283 (2013.01)] | 20 Claims |
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1. An abnormality predicting system, comprising:
a display;
at least one processor;
a memory having instructions that, when executed by the at least one processor, cause the at least one processor to execute operations, the operations including:
storing, in a storage, abnormality prediction data, the abnormality prediction data including a first plurality of sample data points;
storing, in the storage, abnormality degree data in association with the abnormality prediction data;
inputting processing target data comprising at least one of audio data and vibration data acquired from a target device, the at least one of the audio data and the vibration data including a second plurality of sample data points;
matching the second plurality of sample data points with a first set of the first plurality of sample data points;
calculating an abnormality degree of the processing target data based on a matching rate of the second plurality of sample data points with the first set of the first plurality of sample data points;
determining an abnormality prediction of the target device based on the abnormality prediction data which is stored in the storage in association with the first set of the first plurality of sample data points, the abnormality prediction comprising a failure occurrence prediction of the target device and being used for at least one of maintenance, repair, or replacement of the target device; and
generating a display screen for displaying the abnormality prediction on the display, the display screen showing the second plurality of sample data points matched with the first set of the first plurality of sample data points,
wherein a second set of the first plurality of sample data points, which is associated with inspection dates later in time than the first set of the first plurality of sample data points, which does not match the second plurality of sample data points, and which is between the first set of the first plurality of sample data points and the failure occurrence prediction in time, is included in the abnormality prediction data and displayed on the display screen in association with the inspection dates later in time and used for the at least one of the maintenance, the repair, or the replacement of the target device.
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