Lens apparatus, and method of estimating temperature of lens
US-2020166825-A1 · May 28, 2020 · US
US12034281B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12034281-B2 |
| Application number | US-202217720756-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 14, 2022 |
| Priority date | Apr 14, 2021 |
| Publication date | Jul 9, 2024 |
| Grant date | Jul 9, 2024 |
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A fault detection system and method includes a sensor; a processing unit; and an output unit. The sensor is configured to acquire temperature data at a sensor location of a device, wherein the temperature data comprises first temperature data and second temperature data acquired a first time period after the first temperature data. The processing unit determines a temperature magnitude comprising utilization of the first temperature data and/or the second temperature data, and determines a rate of change of temperature. The processing unit predicts a temperature at a location of the device using the temperature magnitude, the rate of change of temperature, and a correlation, wherein the correlation is a correlation of a plurality of temperature magnitudes and a plurality of rate of change of temperatures at the sensor location with a plurality of hotspot temperatures at the location.
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The invention claimed is: 1. A fault detection system, comprising: a sensor; a processing unit; and an output unit; wherein the sensor is configured to acquire temperature data at a sensor location of a device, wherein the temperature data comprises first temperature data and second temperature data acquired a first time period after the first temperature data; wherein the processing unit is configured to determine a temperature magnitude comprising utilization of the first temperature data and/or the second temperature data; wherein the processing unit is configured to determine a rate of change of temperature comprising utilization of the first temperature data and the second temperature data and the first time period; wherein the processing unit is configured to predict a temperature at a location of the device comprising utilization of the temperature magnitude, the rate of change of temperature, and a correlation, wherein the correlation is a correlation of a plurality of temperature magnitudes and a plurality of rate of change of temperatures at the sensor location with a plurality of hotspot temperatures at the location; wherein the processing unit is configured to determine if the device has a fault comprising utilization of the predicted temperature; and wherein the output unit is configured to output an indication that the device has a fault. 2. The fault detection system according to claim 1 , wherein the processing unit is configured to determine whether the device has a fault comprising a determination that the predicted temperature exceeds a threshold temperature. 3. The fault detection system according to claim 1 , wherein the processing unit is configured to select the correlation from a plurality of correlations of different operational scenarios for the device, wherein each of the plurality of correlations is a correlation of a plurality of temperature magnitudes and a plurality of rate of change of temperatures at the sensor location with a plurality of hotspot temperatures at the location. 4. The fault detection system according to claim 3 , wherein each of the plurality of correlations is determined through experiments or through simulations. 5. The fault detection system according to claim 1 , further comprising at least one further sensor configured to measure current and/or power, wherein current and/or power comprises a current through the device and/or a power drawn by the device at a time of acquisition of the first temperature data and/or at a time of acquisition of the second temperature data, and wherein the prediction of the temperature at the location comprises utilization of the current and/or power. 6. The fault detection system according to claim 5 , wherein selection of the correlation comprises utilization of the current and/or power. 7. The fault detection system according to claim 1 , wherein the temperature data comprises third temperature data and fourth temperature data acquired a second time period after the third temperature data, wherein the second time period is over a different time period to the first time period, wherein the processing unit is configured to determine a second temperature magnitude comprising utilization of the third temperature data and/or the fourth temperature data, wherein the processing unit is configured to determine a second rate of change of temperature comprising utilization of the third temperature data and the fourth temperature data and the second time period, and wherein prediction of the temperature at the location comprises utilization of the second temperature magnitude, and the second rate of change of temperature. 8. The fault detection system according to claim 7 , wherein selection of the correlation comprises utilization of the second temperature magnitude, and the second rate of change of temperature. 9. The fault detection system according to claim 1 , wherein the location is a different location to the sensor location. 10. The fault detection system according to claim 9 , wherein the location is thermally connected to the sensor location. 11. The fault detection system according to claim 1 , wherein the location is the sensor location. 12. The fault detection system according to claim 1 , wherein the sensor is an infrared camera or thermocouple sensor or surface acoustic wave sensor or RFID temperature sensor. 13. The fault detection system according to claim 1 , wherein the device comprises a part of a medium voltage switchgear or a motor. 14. A fault detection method, comprising: acquiring with a sensor temperature data at a sensor location of a device, wherein the temperature data comprises first temperature data and second temperature data acquired a first time period after the first temperature data; determining by a processing unit a temperature magnitude comprising utilizing the first temperature data and/or the second temperature data; determining by the processing unit a rate of change of temperature comprising utilizing the first temperature data and the second temperature data and the first time period; predicting by the processing unit a temperature at a location of the device comprising utilizing the temperature magnitude, the rate of change of temperature, and a correlation, wherein the correlation is a correlation of a plurality of temperature magnitudes and a plurality of rate of change of temperatures at the sensor location with a plurality of hotspot temperatures at the location; determining by the processing unit if the device has a fault comprising utilization of the predicted temperature; and outputting by an output unit an indication that the device has a fault. 15. The fault detection method according to claim 14 , wherein the method comprises selecting by the processing unit the correlation from a plurality of correlations of different operational scenarios for the device, wherein each of the plurality of correlations is a correlation of a plurality of temperature magnitudes and a plurality of rate of change of temperatures at the sensor location with a plurality of hotspot temperatures at the location.
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