Statistical Prediction of Maximum Time-Variant Inlet Distortion Levels
Time-variant inlet pressure data from several aircraft designs are analyzed using tools based on Gumbel's extreme-value statistics with the results illustrating the basic randomness of distortion factors. A probabilistic model of distortion is proposed with three parameters to be evaluated by f...
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| creator | Jacocks, J L Kneile, K R |
| description | Time-variant inlet pressure data from several aircraft designs are analyzed using tools based on Gumbel's extreme-value statistics with the results illustrating the basic randomness of distortion factors. A probabilistic model of distortion is proposed with three parameters to be evaluated by fitting to inlet data by the method of maximum likelihood. The effects of data acquisition time, frequency bandwidth, and sampling rate are discussed in context with Moore's similarity parameter to indicate scalability of the dynamic inlet distortion data.
Prepared in cooperation with ARO, Inc., Tullahoma, TN. Rept. no. ARO-PWT-TR-74-81. |
| format | Report |
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Prepared in cooperation with ARO, Inc., Tullahoma, TN. Rept. no. ARO-PWT-TR-74-81.</description><language>eng</language><subject>COMPUTER PROGRAMS ; DATA ACQUISITION ; DISTORTION ; FREQUENCY BANDS ; Jet and Gas Turbine Engines ; JET ENGINE INLETS ; MATHEMATICAL PREDICTION ; STATISTICAL ANALYSIS ; TIME DEPENDENCE</subject><creationdate>1975</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,27544,27545</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA004104$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Jacocks, J L</creatorcontrib><creatorcontrib>Kneile, K R</creatorcontrib><creatorcontrib>ARNOLD ENGINEERING DEVELOPMENT CENTER ARNOLD AFB TN</creatorcontrib><title>Statistical Prediction of Maximum Time-Variant Inlet Distortion Levels</title><description>Time-variant inlet pressure data from several aircraft designs are analyzed using tools based on Gumbel's extreme-value statistics with the results illustrating the basic randomness of distortion factors. A probabilistic model of distortion is proposed with three parameters to be evaluated by fitting to inlet data by the method of maximum likelihood. The effects of data acquisition time, frequency bandwidth, and sampling rate are discussed in context with Moore's similarity parameter to indicate scalability of the dynamic inlet distortion data.
Prepared in cooperation with ARO, Inc., Tullahoma, TN. Rept. no. ARO-PWT-TR-74-81.</description><subject>COMPUTER PROGRAMS</subject><subject>DATA ACQUISITION</subject><subject>DISTORTION</subject><subject>FREQUENCY BANDS</subject><subject>Jet and Gas Turbine Engines</subject><subject>JET ENGINE INLETS</subject><subject>MATHEMATICAL PREDICTION</subject><subject>STATISTICAL ANALYSIS</subject><subject>TIME DEPENDENCE</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1975</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZHALLkksySwuyUxOzFEIKEpNyUwuyczPU8hPU_BNrMjMLc1VCMnMTdUNSyzKTMwrUfDMy0ktUXAB6sgvAiv0SS1LzSnmYWBNS8wpTuWF0twMMm6uIc4euilAk-OBxuellsQ7ujgaGJgYGpgYE5AGACirMIs</recordid><startdate>197501</startdate><enddate>197501</enddate><creator>Jacocks, J L</creator><creator>Kneile, K R</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>197501</creationdate><title>Statistical Prediction of Maximum Time-Variant Inlet Distortion Levels</title><author>Jacocks, J L ; Kneile, K R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA0041043</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1975</creationdate><topic>COMPUTER PROGRAMS</topic><topic>DATA ACQUISITION</topic><topic>DISTORTION</topic><topic>FREQUENCY BANDS</topic><topic>Jet and Gas Turbine Engines</topic><topic>JET ENGINE INLETS</topic><topic>MATHEMATICAL PREDICTION</topic><topic>STATISTICAL ANALYSIS</topic><topic>TIME DEPENDENCE</topic><toplevel>online_resources</toplevel><creatorcontrib>Jacocks, J L</creatorcontrib><creatorcontrib>Kneile, K R</creatorcontrib><creatorcontrib>ARNOLD ENGINEERING DEVELOPMENT CENTER ARNOLD AFB TN</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jacocks, J L</au><au>Kneile, K R</au><aucorp>ARNOLD ENGINEERING DEVELOPMENT CENTER ARNOLD AFB TN</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Statistical Prediction of Maximum Time-Variant Inlet Distortion Levels</btitle><date>1975-01</date><risdate>1975</risdate><abstract>Time-variant inlet pressure data from several aircraft designs are analyzed using tools based on Gumbel's extreme-value statistics with the results illustrating the basic randomness of distortion factors. A probabilistic model of distortion is proposed with three parameters to be evaluated by fitting to inlet data by the method of maximum likelihood. The effects of data acquisition time, frequency bandwidth, and sampling rate are discussed in context with Moore's similarity parameter to indicate scalability of the dynamic inlet distortion data.
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| language | eng |
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| source | DTIC Technical Reports |
| subjects | COMPUTER PROGRAMS DATA ACQUISITION DISTORTION FREQUENCY BANDS Jet and Gas Turbine Engines JET ENGINE INLETS MATHEMATICAL PREDICTION STATISTICAL ANALYSIS TIME DEPENDENCE |
| title | Statistical Prediction of Maximum Time-Variant Inlet Distortion Levels |
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