System and method for predicting industrial equipment motor behavior
US12007753B2 · kind B2 · utility
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3References
12Claims
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Key dates
| Filing date | Jun 14, 2019 |
| Grant date | Jun 11, 2024 |
| Priority date | — |
| Expiry date | Jun 14, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B23/0283
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A computer implemented method and system for predicting motor failure. The system and method employ artificial intelligence to train machine learning models to predict failure mechanisms within a machine. The system features at least one database configured to store machine performance indicator data. At least one server is configured to receive the indicator data and train machine learning models which are used by a processor to predict motor failure. The method for predicting motor failure is iterative, allowing the machine learning model to become more skilled at predicting machine performance outcomes in real-time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.