Abstract
Although improved design methodologies have significantly enhanced the reliability and safety of structures in recent years, it is still not possible to build structures that are infallible. There is an increasing interest in the development of smart structures with built-in fault detection systems that would provide failure warnings. This paper presents a general methodology for structural fault detection using fuzzy logic. The methodology is based on monitoring the static, eigenvalue and dynamic responses to determine the health status of a structure or machine. Fuzzy logic coupled with principles of continuum damage mechanics is used to identify the location and extent of the damage. The proposed methodology represents a unique approach to damage detection that can be applied to a variety of structures used in civil engineering, machine and aerospace applications.
| Original language | English (US) |
|---|---|
| Title of host publication | AIAA Dynamics Specialists Conference |
| Publisher | American Institute of Aeronautics and Astronautics Inc, AIAA |
| Pages | 214-222 |
| Number of pages | 9 |
| DOIs | |
| State | Published - 1996 |
| Externally published | Yes |
| Event | AIAA Dynamics Specialists Conference, 1996 - Salt Lake City, United States Duration: Apr 18 1996 → Apr 19 1996 |
Other
| Other | AIAA Dynamics Specialists Conference, 1996 |
|---|---|
| Country | United States |
| City | Salt Lake City |
| Period | 4/18/96 → 4/19/96 |
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ASJC Scopus subject areas
- Astronomy and Astrophysics
- Aerospace Engineering
Cite this
Structural fault detection using fuzzy logic. / Sawyer, J. P.; Rao, Singiresu S.
AIAA Dynamics Specialists Conference. American Institute of Aeronautics and Astronautics Inc, AIAA, 1996. p. 214-222.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Structural fault detection using fuzzy logic
AU - Sawyer, J. P.
AU - Rao, Singiresu S
PY - 1996
Y1 - 1996
N2 - Although improved design methodologies have significantly enhanced the reliability and safety of structures in recent years, it is still not possible to build structures that are infallible. There is an increasing interest in the development of smart structures with built-in fault detection systems that would provide failure warnings. This paper presents a general methodology for structural fault detection using fuzzy logic. The methodology is based on monitoring the static, eigenvalue and dynamic responses to determine the health status of a structure or machine. Fuzzy logic coupled with principles of continuum damage mechanics is used to identify the location and extent of the damage. The proposed methodology represents a unique approach to damage detection that can be applied to a variety of structures used in civil engineering, machine and aerospace applications.
AB - Although improved design methodologies have significantly enhanced the reliability and safety of structures in recent years, it is still not possible to build structures that are infallible. There is an increasing interest in the development of smart structures with built-in fault detection systems that would provide failure warnings. This paper presents a general methodology for structural fault detection using fuzzy logic. The methodology is based on monitoring the static, eigenvalue and dynamic responses to determine the health status of a structure or machine. Fuzzy logic coupled with principles of continuum damage mechanics is used to identify the location and extent of the damage. The proposed methodology represents a unique approach to damage detection that can be applied to a variety of structures used in civil engineering, machine and aerospace applications.
UR - http://www.scopus.com/inward/record.url?scp=77952732110&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952732110&partnerID=8YFLogxK
U2 - 10.2514/6.1996-1226
DO - 10.2514/6.1996-1226
M3 - Conference contribution
AN - SCOPUS:77952732110
SP - 214
EP - 222
BT - AIAA Dynamics Specialists Conference
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
ER -