Electrical equipment fault diagnosis and control

US11625012B2 · kind B2 · utility

Assignee

• Budderfly, Inc. · US

Inventors

• Albert Subbloie · Orange, US
• Christopher J. DeBenedictis · Branford, US
• Jacob Marchinus Boerma · Orange, US
• William P. Butler · Chesterfield, US
• Jaan Leemet · Aventura, US
• Kenneth Scott Fassman · Redding, US
• Kenneth Buda · Scarsdale, US

Key dates

• Filing date: Dec 21, 2020
• Grant date: Apr 11, 2023
• Expiry date: Oct 12, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B2219/2639
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A system for automatically learning and adapting to the energy usage of an equipment installed at a facility or many pieces of equipment at a plurality of facilities, where the system is provided with an initial baseline energy usage signature for the equipment, which is modified by measured energy usage and by at least one peripheral sensor measurement data to create a modified energy usage signature. The system uses artificial intelligence to learn and adapt the baseline energy usage signature to learn the business operation and account for external variables such as temperature variance and increased business flow or an interaction between devices. The smart system can identify when a piece of equipment falls outside of “normal” operation and determines what automatic action is to be taken for that piece of equipment.