Name
Title | ||
|---|---|---|
Real-time hardware implementation of symbolic health monitoring for aircraft engine components |
Abstract | ||
|---|---|---|
Symbolic dynamics based fault detection and condition monitoring is a new research area that provides a new set of tools for data analysis, fault detection and investigation of the dynamical systems. The partitioning concept is used to obtain a finite number of non-overlapping segments for a low-dimensional representation of time series. This analysis method for fault progression can be constructed from observed data sequences. This paper presents hardware implementation of symbolic dynamic filtering technique for real-time health monitoring of aircraft engine components using piezoelectric sensors. The signal processing tools are implemented in a two-step procedure using MATLAB/Simulink. The Simulink implementation gives a direct code generation capability that enables the generated code to be executed on the microprocessor for real-time applications. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ACC.2010.5531250 | American Control Conference |
Keywords | DocType | ISSN |
aerospace components,aerospace engines,aircraft,condition monitoring,filtering theory,piezoelectric actuators,time series,matlab,simulink,aircraft engine component,direct code generation,fault detection,partitioning concept,piezoelectric sensor,real-time hardware,signal processing tool,symbolic dynamic filtering,symbolic dynamics,symbolic health monitoring,sensors,real time systems,engines,data analysis,compressors,code generation,data acquisition,signal processing,real time,hardware,dynamic system | Conference | 0743-1619 |
ISBN | Citations | PageRank |
978-1-4244-7426-4 | 1 | 0.43 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasar, M. | 1 | 1 | 0.43 |
| Purekar, A. | 2 | 1 | 0.43 |
| Sheth, D. | 3 | 1 | 0.43 |