IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
US-0761029
(2010-04-15)
|
등록번호 |
US-8818684
(2014-08-26)
|
발명자
/ 주소 |
- John, Justin V.
- Nirmalan, Nirm Velumylum
- Intile, John Charles
- Szepek, Scott William
- Peczka, Daniel Joseph
- Carey, Bradley Steven
|
출원인 / 주소 |
|
대리인 / 주소 |
Sutherland Asbill & Brennan LLP
|
인용정보 |
피인용 횟수 :
2 인용 특허 :
9 |
초록
▼
Certain embodiments of the invention may include systems, methods, and apparatus for detecting failure in gas turbine hardware. According to an example embodiment of the invention, a method for detecting a failure in a gas turbine is provided. The method can include monitoring a parameter associated
Certain embodiments of the invention may include systems, methods, and apparatus for detecting failure in gas turbine hardware. According to an example embodiment of the invention, a method for detecting a failure in a gas turbine is provided. The method can include monitoring a parameter associated with the turbine, wherein the monitored parameter comprises at least one turbine bucket temperature, detecting an event associated with operation of the turbine, wherein the event is based at least in part on the monitored parameter, and initiating shutdown of the turbine upon detection of the event wherein the monitored parameter is above a predetermined value for at least a predetermined time duration.
대표청구항
▼
1. A method for detecting a failure in a gas turbine comprising: monitoring a parameter associated with the turbine from at least one sensor, wherein the monitored parameter comprises at least one turbine bucket temperature;determining that the turbine is associated with an operational mode suitable
1. A method for detecting a failure in a gas turbine comprising: monitoring a parameter associated with the turbine from at least one sensor, wherein the monitored parameter comprises at least one turbine bucket temperature;determining that the turbine is associated with an operational mode suitable for detecting events associated with turbine failures based at least in part on the monitored parameter;detecting, in response to determining that the turbine is associated with the operational mode,an event associated with the operation of the turbine based at least in part on the monitored parameter being above a predetermined value for at least a predetermined time duration; andinitiating shutdown of the turbine upon detection of the event wherein initiating is performed upon detection of the event and after a fuel flow or airflow associated with the turbine has stabilized. 2. The method of claim 1, wherein the monitored parameter associated with the turbine combustor further comprises at least one of: bucket emissivity, acoustical energy, or exhaust NOx level. 3. An apparatus for detecting failure in a turbine comprising: at least one processor configured to: receive and monitor a measured parameter from at least one sensor, wherein the measured parameter comprises at least one turbine bucket temperature;determine that the turbine is in a suitable operational mode for detecting events associated with the possible turbine failures based at least in part on the measured parameter;detect an event associated with operation of the turbine, in response to determining the turbine is in the suitable operational mode, wherein the event is based at least in part on the at least one turbine bucket temperature being above a predetermined value for at least a predetermined time duration; andinitiating shutdown of the turbine upon detection of the event and after a fuel flow or an airflow associated with the turbine has stabilized. 4. The method of claim 1, wherein monitoring a parameter associated with the turbine comprises determining a moving average of the parameter over at least one time duration. 5. The method of claim 1, wherein an event comprises a turbine bucket temperature increase of greater than about 5 degrees Fahrenheit over less than about 10 minutes. 6. The method of claim 1, wherein an event comprises an exhaust NOx increase of greater than about 2 ppm over less than about 1 minute. 7. The method of claim 1, wherein initiating shutdown of the turbine occurs when an event has been detected and a difference between the current monitored parameter and a stored past monitored parameter is sustained above about 25% of a limit associated with the event for greater than about 5 seconds. 8. A system for detecting failure comprising: a gas turbine;at least one sensor for measuring a parameter associated with the turbine, wherein the measured parameter comprises at least one turbine bucket temperature;at least one processor configured to:determine that the turbine is in a suitable operational mode for detecting events associated with possible turbine failures based at least in part on the measured parameter;receive and monitor the measured parameter from the at least one sensor in response to determining the turbine is in the suitable operational mode;detect an event associated with operation of the turbine, wherein the event is based at least in part on the monitored parameter being above a predetermined value for at least a predetermined time duration; andinitiate shutdown of the turbine upon detection of the event and after a fuel flow or an airflow associated with the turbine has stabilized. 9. The system of claim 8, wherein the at least one sensor is further operable to measure one or more of bucket emissivity, acoustical energy, or exhaust NOx level. 10. The apparatus of claim 3, wherein initiating shutdown of the turbine occurs when an event has been detected and a difference between the current monitored parameter and a stored past monitored parameter is sustained above about 25% of a limit associated with the event for greater than about 5 seconds. 11. The system of claim 8, wherein the at least one processor is configured for receiving and monitoring from the at least one sensor, the measured parameter associated with the turbine, wherein monitoring comprises determining a moving average of the measured parameter over at least one time duration. 12. The system of claim 8, wherein an event comprises a turbine bucket temperature increase of greater than about 5 degrees Fahrenheit over less than about 10 minutes. 13. The system of claim 8, wherein an event comprises an exhaust NOx increase of greater than about 2 ppm over less than about 1 minute. 14. The system of claim 8, wherein initiating shutdown of the turbine occurs when an event has been detected and a difference between the current monitored parameter and a stored past monitored parameter is sustained above about 25% of a limit associated with the event for greater than about 5 seconds. 15. The apparatus of claim 3, wherein the at least one processor is further configured to detect an event associated with the operation of the turbine, wherein an event comprises a turbine bucket temperature increase of greater than about 5 degrees Fahrenheit over less than about 10 minutes or an exhaust NOx increase of greater than about 2 ppm over less than about 1 minute. 16. The apparatus of claim 3, wherein the at least one processor is configured to receive and monitor a measured parameter from the at least one sensor, wherein the measured parameter further comprises one or more of: bucket emissivity, acoustical energy, or exhaust NOx level. 17. The apparatus of claim 3, wherein the at least one processor is configured for receiving and monitoring from the at least one sensor, the measured parameter associated with the turbine, wherein monitoring comprises determining a moving average of the measured parameter over at least one time duration.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.