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Current Pressure Transducer Application of Model-based Prognostics Using Steady State ConditionsPrognostics is the process of predicting a system's future states, health degradation/wear, and remaining useful life (RUL). This information plays an important role in preventing failure, reducing downtime, scheduling maintenance, and improving system utility. Prognostics relies heavily on wear estimation. In some components, the sensors used to estimate wear may not be fast enough to capture brief transient states that are indicative of wear. For this reason it is beneficial to be capable of detecting and estimating the extent of component wear using steady-state measurements. This paper details a method for estimating component wear using steady-state measurements, describes how this is used to predict future states, and presents a case study of a current/pressure (I/P) Transducer. I/P Transducer nominal and off-nominal behaviors are characterized using a physics-based model, and validated against expected and observed component behavior. This model is used to map observed steady-state responses to corresponding fault parameter values in the form of a lookup table. This method was chosen because of its fast, efficient nature, and its ability to be applied to both linear and non-linear systems. Using measurements of the steady state output, and the lookup table, wear is estimated. A regression is used to estimate the wear propagation parameter and characterize the damage progression function, which are used to predict future states and the remaining useful life of the system.
Document ID
20140013379
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Teubert, Christopher
(Stinger Ghaffarian Technologies, Inc. (SGT, Inc.) Moffett Field, CA, United States)
Daigle, Matthew J.
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
November 6, 2014
Publication Date
March 1, 2014
Subject Category
Electronics And Electrical Engineering
Quality Assurance And Reliability
Report/Patent Number
ARC-E-DAA-TN12958
IEEEAC Paper 2323
Meeting Information
Meeting: IEEE Aerospace Conference
Location: Big Sky, Montana
Country: United States
Start Date: March 1, 2014
End Date: March 8, 2014
Sponsors: PHM Society, American Inst. of Aeronautics and Astronautics, Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNA08CG83C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Fault Estimation
Model-Based Diagnostics
Prognostics
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