Patent · US Active

Apparatus for predicting equipment damage

US12007745B2 · kind B2 · utility

0Cited by

0References

11Claims

0Family size

Assignee

ABB Schweiz AG · CH

Inventors

Ido Amihai · Heppenheim, DE
Subanatarajan Subbiah · Neulußheim, DE
Arzam Muzaffar Kotriwala · Ladenburg, DE
Moncef Chioua · Heidelberg, DE

Key dates

Filing date	Sep 21, 2021
Grant date	Jun 11, 2024
Priority date	—
Expiry date	Sep 27, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG05B2219/37252
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

An apparatus includes an input unit, a processing unit, and an output unit. The input unit is configured to provide the processing unit with sensor data for an item of equipment. The processing unit is configured to implement at least one machine learning algorithm, which has been trained on the basis of a plurality of calibration sensor data for the item of equipment. Training of the at least one machine learning algorithm includes processing the plurality of calibration sensor data to determine at least two clusters representative of different equipment states. The processing unit is configured to implement the at least one machine learning algorithm to process the sensor data to assign the sensor data to a cluster of the at least two clusters to determine an equipment state for the item of equipment. The output unit is configured to output the equipment state for the item of equipment.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.