In-Flight Fatigue Crack Monitoring of an Aircraft Engine Cowling
| العنوان: | In-Flight Fatigue Crack Monitoring of an Aircraft Engine Cowling |
|---|---|
| المؤلفون: | Vaughn, Samuel Gordon |
| تفاصيل مُضافة: | Hill, Eric v. K. advisor Embry-Riddle Aeronautical University. Department of Aerospace Engineering. Eric v. K. Hill Frank J. Radosta Charles W. Bishop Vaughn, Samuel Gordon, III |
| Call Numbers: | TL702.C6 .V384 1998eb |
| وصف مادي: | 1 online resource (ix, 41 leaves) : illustrations |
| مستخلص: | This research investigates the feasibility of implementing an in-flight fatigue crack monitoring system in an airplane to identify fatigue crack growth. An acoustic emission data acquisition system coupled with a Kohonen self organizing map neural network were used to perform the analysis. Fatigue cracking was responsible for ripping the top of a fuselage off an Aloha Airline’s Boeing 737-200 as it carried passengers over the Pacific Ocean, killing some aboard. This tragedy is perhaps a precursor of problems to come, as our nation’s aircraft age. These planes experience fatigue as they perform their daily routine of ferrying passengers from location to location. Fatigue can initiate cracking within the aircraft’s structure and at least damage a small expendable part of the plane, or at most damage a vital part of the airplane leading to disaster as happened to the Aloha Airline’s flight. In an attempt to curb this sort of devastation, this research involves the development of an in-flight fatigue crack monitoring system. Such a system would have the ability to identify possible crack sources before the crack would have the chance to cause significant damage. Advantages of this type of system would be first, an obvious safety cushion, and second, lower maintenance costs because routine parts replacement and inspection could be minimized. |
| الموضوعات: | Airplanes Motors Cowlings., Multivariate analysis., Composite materials., Neural networks (Computer science), Analyse multivariée., Composites., Réseaux neuronaux (Informatique), composite material., Airplanes Motors Cowlings, Composite materials, Multivariate analysis, Neural networks (Computer science) |
| مصطلحات الفهرس: | Aerospace Engineering, Aviation |
| URL: | |
| الإتاحة: | Open access content. Open access content |
| ملاحظة: | "Daytona Beach, Florida, August 1998." Also available in print. Includes bibliographical references (leaf 33). Signature page ; Acknowledgements ; Abstract ; Table of contents ; List of tables ; List of figures -- 1. Introduction -- 2. Acoustic emission. 2.1. Acoustic emission terms ; 2.2. Acoustic emission hardware -- 3. Neural networks. 3.1. Kohonen self organizing map ; 3.2. Training and testing the SOM -- 4. Results. 4.1. Lab test analysis ; 4.2. In-flight data analysis -- 5. Conclusions -- 6. Recommendations -- 7. References. |
| أرقام أخرى: | FER oai:commons.erau.edu:db-theses-1294 1014343261 |
| المصدر المساهم: | From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1014343261 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |