IP Library › Granted Patent US 12,203,990
Granted Patent B2
US 12,203,990 · App. 17/858,619 · Granted Jan 21, 2025

Systems and methods for monitoring health of a motor

Inventors: Brandon White (South Burlington, VT); Stephen Widdis (South Burlington, VT)
Assignee: BETA AIR LLC
G01R31/343G01J5/48
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Quick Facts
Patent No.
US 12,203,990
App. No.
17/858,619
Granted
Jan 21, 2025
Kind
B2
Abstract

In an aspect of the present disclosure is a system for monitoring health of a motor, including at least one sensor configured to detect at least a motor metric and send motor datum based on the at least a motor metric, an augmented reality display configured to display a visual representation of the motor datum, and a computing device communicatively connected to the at least one sensor and the augmented reality display, wherein the computing device is configured to: receive the motor datum from the at least one sensor; and command the augmented reality display to display the visual representation of the motor datum.

Claims (56)

1. A system comprising:

an electric propulsor comprising a motor;

a sensor configured to:

measure a current of the motor; and

provide current data based on the measured current of the motor; and

a computing device communicatively connected to the at least a sensor, the computing device configured to:

receive the current data from the sensor;

determine motor data including a current attributed to an axis based on the current data; and

display a visual representation of the motor data.

2. The system of claim 1 , wherein: the at least a sensor comprises further comprising:

a temperature sensor; and the visual representation comprises configured to provide temperature data measured from the motor,

wherein the computing device is communicatively connected to the temperature sensor and further configured to:

receive the temperature data from the temperature sensor;

generate a heat map based on the temperature data; and

display the heat map of the motor.

3. The system of claim 2 , wherein the temperature sensor comprises an infrared sensor.

4. The system of claim 1 , further comprising:

a vibration sensor configured to provide vibration data measured from the motor,

wherein the computing device is communicatively connected to the vibration sensor and further configured to:

receive the vibration data from the vibration sensor; and

display the vibration data.

5. The system of claim 1 , wherein the at least a further comprising:

a torque sensor configured to provide output torque data measured from the motor,

wherein the computing device is communicatively connected to the torque sensor and further configured to:

receive the output torque data from the torque sensor; and

display the output torque data.

6. The system of claim 1 , further comprising:

a voltage sensor configured to voltage data measured from the motor,

wherein the computing device is communicatively connected to the voltage sensor and further configured to:

receive the voltage data from the voltage sensor; and

display the voltage data.

7. The system of claim 1 , wherein the current attributed to an axis is attributed to a direct axis.

8. The system of claim 1 , wherein the current attributed to an axis is attributed to a quadrature axis.

9. The system of claim 1 , wherein the sensor is configured to measure a ripple current of the motor.

10. A method comprising:

measuring, using a sensor, a current of a motor of an electric propulsor;

providing, to a computing device, current data based on the measured current of the motor;

receiving, at the computing device, the current data;

determine motor data including a current attributed to an axis based on the current data; and

displaying, by the computing device, the motor data.

11. The method of claim 10 , further comprising:

providing, to the computing device using a temperature sensor, temperature data measured from the motor; and

displaying, by the computing device, a heat map of the motor generated based on the temperature data.

12. The method of claim 11 , wherein the temperature sensor comprises an infrared sensor.

13. The method of claim 10 , further comprising:

providing, to the computing device using a vibration sensor, vibration data measured from the motor; and

displaying, by the computing device, the vibration data.

14. The method of claim 10 , further comprising:

providing, to the computing device using a torque sensor, output torque data measured from the motor; and

displaying, by the computing device, the output torque data.

15. The method of claim 10 , further comprising:

providing, to the computing device using a voltage sensor, voltage data measured from the motor; and

displaying, by the computing device, the voltage data.

16. The method of claim 10 , wherein the current attributed to an axis is attributed to a direct axis.

17. The method of claim 10 , wherein the current attributed to an axis is attributed to a quadrature axis.

18. The method of claim 10 , wherein the sensor is configured to measure a ripple current of the motor.

Continuity (2)
Continuation In Part 17528526 · Nov 17, 2021
Related Publication 20230152377A1 · May 18, 2023
References Cited (30)
US 5519300A · Leon et al. · 1996 [cited by applicant]
US 5726911A · Canada et al. · 1998 [cited by applicant]
US 5917428A · Discenzo et al. · 1999 [cited by applicant]
US 6128583A · Dowling · 2000 [cited by applicant]
US 6289735B1 · Dister et al. · 2001 [cited by applicant]
US 6529135B1 · Bowers et al. · 2003 [cited by applicant]
US 7996337B2 · Flickinger · 2011 [cited by applicant]
US 8981697B2 · Zeller · 2015 [cited by applicant]
US 10336472B2 · Nicks et al. · 2019 [cited by applicant]
US 10488282B2 · Guru et al. · 2019 [cited by applicant]
US 11050378B2 · Polcuch et al. · 2021 [cited by applicant]
US 11411474B1 · White · 2022 [cited by examiner]
US 20120280644A1 · Lind · 2012 [cited by examiner]
US 20190049517A1 · Choi · 2019 [cited by examiner]
US 20190204390A1 · Krishnamoorthi et al. · 2019 [cited by applicant]
US 20200026269A1 · Needham et al. · 2020 [cited by applicant]
US 20200103894A1 · Cella · 2020 [cited by examiner]
US 20200160607A1 · Kjallstrom · 2020 [cited by examiner]
US 20200403537A1 · Jefferies et al. · 2020 [cited by applicant]
US 20210304523A1 · Tanada · 2021 [cited by examiner]
GB 2484960A · 2012 [cited by applicant]
IN 00043DE2015A · 2016 [cited by applicant]
WO 2008116966A2 · 2008 [cited by applicant]
WO 2021009042A1 · 2021 [cited by applicant]
Samuel and Lin, Airvolt Aircraft Electric Propulsion Test Stand, 2015, AIAA Propulsion and Energy Conference 2015, No. DFRC-E-DAA-TN24260, pp. 1-19, downloaded from: https://ntrs.nasa.gov/api/citations/20160001339/downl… [cited by examiner]
A. S. Zheltov, N. V. Kuzmin and D. S. Khriukin, Augmented Reality Technologies in Diagnosis of Electrical Machines, Jun. 2019, 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICI… [cited by examiner]
Israel Zamudio-Ramirez 1 , Roque Alfredo Osornio-Rios 1 , Miguel Trejo-Hernandez 1 , Rene De Jesus Romero-Troncoso 1 And Jose Alfonso Antonino-Daviu, Smart-Sensors to Estimate Insulation Health in Induction Motors via A… [cited by applicant]
D K Chaturvedi, A Karimpour, M P Singh, Health Monitoring of Induction Motor Using Sound Signals, Feb. 5, 2020. [cited by applicant]
Jinjiang Wang , Peilun Fu, Laibin Zhang, Robert X. Gao, Fellow, IEEE, and Rui Zhao, Multilevel Information Fusion for Induction Motor Fault Diagnosis, Oct. 1, 2019. [cited by applicant]
Nguyen Cong Phuong, Condition Monitoring for Induction Motor Overload Using Sound, Apr. 3, 2021. [cited by applicant]