Method and system for diagnostics and monitoring of electric machines

Patent metadata

Field	Value
Publication number	US-11366178-B2
Application number	US-202016794192-A
Country	US
Kind code	B2
Filing date	Feb 18, 2020
Priority date	Jul 28, 2017
Publication date	Jun 21, 2022
Grant date	Jun 21, 2022

Abstract

A system for use with an electric machine is provided. The system includes a processor and a memory comprising a set of memory modules, which, when executed by the processor, cause the processor to perform certain operations. The operations include receiving operational data from the electric machine, and generating, based on the operational data, a first set of diagnostic data, by executing a first memory module from the set of memory modules. The operations further include generating, based on the operational data, a second set of diagnostic data, by executing a second memory module from the set of memory modules, the second memory module including a set of parameters associated with a diagnostics model of the electric machine. Furthermore, the operations include effecting, based on the operational data, the first set of diagnostic data, and the second set of diagnostic data, a change in at least one parameter.

First claim

What is claimed is:

1. A system for use with a set of electric machines, the system comprising:
a diagnostic unit coupled to the set of electric machines and configured to retrieve from at least one of the electric machines or to instruct the at least one of the electric machines to send a set of sensor measurements to determine a state of the at least one of the electric machines, and including:
a processor; and
a memory stored thereon a set of memory modules, which when executed by the processor, cause the processor to perform operations including:
receiving the set of sensor measurements being operational data from at least two electric machines from the set of electric machines,
generating, based on the operational data from each of the at least two electric machines, first sets of diagnostic data, by executing a first memory module being a non-adaptive module from the set of memory modules,
generating, based on the operational data from each of the at least two electric machines, second sets of diagnostic data, by executing a second memory module being an adaptive module from the set of memory modules, the second memory module including an adaptive routine including a set of parameters associated with a diagnostics model for the set of electric machines, and
effecting, based on the first sets of diagnostic data, the second sets of diagnostic data, and the operational data in parallel from one of the at least two electric machines, a change in at least one parameter from the set of parameters associated with the one of the at least two electric machines, wherein an existence of a fault is determined using both the first set of diagnostic data and the second set of diagnostic data.

2. The system of claim 1 , wherein the set of sensor measurements include at least one of voltage, current, temperature, vibration, signature, and insulation integrity of the at least one of the electric machines.

3. The system of claim 1 , wherein the effecting is further based on data received by the processor, the data being associated with an assessment from an operator.

4. The system of claim 1 , wherein the second memory module is configured to cause the processor to perform an adaptive processing of the operational data.

5. The system of claim 1 , wherein the first memory module is configured to cause the processor to perform a non-adaptive processing of the operational data.

Assignees

• Ge Energy Power Conversion Technology Ltd

Inventors

• Solomon Luke Anthony
• Gray Stuart
• Doucette Michael Richard
• Dominguez Sergio
• Sieman Alexander Richard

Classifications

• G05B23/0254

  based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks · CPC title

• G05B23/0297

  Reconfiguration of monitoring system, e.g. use of virtual sensors; change monitoring method as a response to monitoring results · CPC title

• G06N20/20

  Ensemble learning · CPC title

• G05B23/0243

  model based detection method, e.g. first-principles knowledge model · CPC title

• G01R31/56 Primary

  Testing of electric apparatus (testing of transformers G01R31/62; testing of connections G01R31/66) · CPC title