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Dtic Adp014125%3a Mathematical Pattern Recognition Techniques Applied To Wear Debris Characterisation For Condition Monitoring Of Gas Turbine Engines by Defense Technical Information Center
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1DTIC ADP014125: Mathematical Pattern Recognition Techniques Applied To Wear Debris Characterisation For Condition Monitoring Of Gas Turbine Engines
By Defense Technical Information Center
The automation of wear debris characterization by SEM/EDX analysis using mathematical pattern recognition techniques offers a reliable identification of particle alloy composition. It is less time consuming than an individual check for the best fitting material. Another advantage is the full automatic generated Word report, which can be easily distributed by LAN or email.
“DTIC ADP014125: Mathematical Pattern Recognition Techniques Applied To Wear Debris Characterisation For Condition Monitoring Of Gas Turbine Engines” Metadata:
- Title: ➤ DTIC ADP014125: Mathematical Pattern Recognition Techniques Applied To Wear Debris Characterisation For Condition Monitoring Of Gas Turbine Engines
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADP014125: Mathematical Pattern Recognition Techniques Applied To Wear Debris Characterisation For Condition Monitoring Of Gas Turbine Engines” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Ortner, J. - Czarnecki, J. V. - Laufer, A. - Gauly, P. - Oley, D. - WEHRWISSENSCHAFTLICHES INSTITUT FUR WERK ERDING (GERMANY) EXPLOSIV-UND BETRIEBSSTOFFE - *GAS TURBINES - SCANNING ELECTRON MICROSCOPES - SYMPOSIA - AUTOMATION - DEBRIS - MONITORING - JET ENGINES - ALLOYS - MATHEMATICAL ANALYSIS - WEAR - GERMANY - PATTERN RECOGNITION.
Edition Identifiers:
- Internet Archive ID: DTIC_ADP014125
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 6.26 Mbs, the file-s for this book were downloaded 132 times, the file-s went public at Sun Nov 01 2015.
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