최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0527770 (2006-09-26) |
등록번호 | US-8788070 (2014-07-22) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 1 인용 특허 : 336 |
A field device resident algorithm receives one or more diagnostic inputs and generates actionable service information. The algorithm(s) can be changed or updated after the manufacture of the field device. The actionable service information can be displayed locally or sent over a process control loop
A field device resident algorithm receives one or more diagnostic inputs and generates actionable service information. The algorithm(s) can be changed or updated after the manufacture of the field device. The actionable service information can be displayed locally or sent over a process control loop. A prediction engine can be employed to determine a period within which such service should be completed.
1. A field device comprising a process variable transmitter, comprising: a process variable sensor configured to sense a process variable of an industrial process;a microprocessor;a memory operably coupled to the microprocessor;a plurality of diagnostic inputs operably coupled to the microprocessor;
1. A field device comprising a process variable transmitter, comprising: a process variable sensor configured to sense a process variable of an industrial process;a microprocessor;a memory operably coupled to the microprocessor;a plurality of diagnostic inputs operably coupled to the microprocessor;wherein the microprocessor implements field device resident algorithms based upon instructions stored in the memory including: a plurality of diagnostic algorithms based upon the plurality of diagnostic inputs, wherein the plurality of diagnostic algorithms provide a service information output indicative of actionable service information comprising a corrective service action which should be performed based upon the plurality of diagnostic inputs;a prediction engine implemented by a prediction algorithm configured to determine a service interval within which the corrective service action should be performed, the service interval based upon a health indication degradation curve used to predict when a health indication will reach a threshold level and wherein the prediction algorithm is modified based upon successful runtime of the process variable transmitter;a service message module configured to generate a service message based upon the service interval and the corrective service action; andI/O circuitry configured to transmit information related to the sensed process variable and further configured to transmit the service message including the corrective service action and an augmented service interval to another location. 2. The field device of claim 1, including a local display coupled to the microprocessor which displays the service message including the corrective service action and wherein the corrective service action is related to at least one of the field device itself, a component coupled to the field device, a second field device, and a process control loop. 3. The field device of claim 1, wherein the at least one of the diagnostic inputs includes a field device diagnostic input. 4. The field device of claim 2, wherein the at least one of the diagnostic inputs includes application information. 5. The field device of claim 2, wherein the at least one of the diagnostic inputs includes a process variable. 6. The field device of claim 2, wherein the at least one of the diagnostic inputs includes process variability. 7. The field device of claim 2, wherein the at least one of the diagnostic inputs includes a characteristic of an environment of the field device. 8. The field device of claim 1, wherein the at least one of the diagnostic inputs also includes relative changes in an environment of the field device. 9. The field device of claim 2, wherein the at least one of the diagnostic inputs includes an indication of exposure of the field device to extremes in process variables. 10. The field device of claim 2, wherein the at least one of the diagnostic inputs includes a diagnostic of electronics of the field device. 11. The field device of claim 2, wherein the at least one of the diagnostic inputs includes sensor drift. 12. The field device of claim 1, wherein the at least one of the diagnostic inputs includes a loop diagnostic input. 13. The field device of claim 12, wherein the at least one of the diagnostic inputs includes field device shunt current. 14. The field device of claim 12, wherein the at least one of the diagnostic inputs includes process loop current. 15. The field device of claim 12, wherein the at least one of the diagnostic inputs includes field device terminal voltage. 16. The field device of claim 1, wherein the at least one of the service-related recommendation output is transmitted over a process control loop. 17. The field device of claim 16, wherein the at least one service-related recommendation output is transmitted using enhanced Electronic Device Description Language technology. 18. The field device of claim 1, wherein one of the plurality of diagnostic algorithms comprises a field device diagnostic algorithm. 19. The field device of claim 1, wherein one of the plurality of diagnostic algorithms comprises a loop diagnostic algorithm. 20. The field device of claim 1, wherein one of the plurality of diagnostic algorithms comprises an impulse line diagnostic algorithm. 21. The field device of claim 1, wherein the prediction algorithm is implemented using a polynomial curve fit. 22. The field device of claim 1, wherein the prediction algorithm is implemented using a neural network. 23. The field device of claim 1, wherein the prediction algorithm is implemented using rules. 24. The field device of claim 1, wherein the prediction algorithm is implemented using fuzzy logic. 25. The field device of claim 1, wherein the health indication degradation curve is implemented using a mathematical model.
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