{"id":"https://openalex.org/W2180600869","doi":"https://doi.org/10.1115/gt2007-27051","title":"Probabilistic Engine Performance Scatter and Deterioration Modeling","display_name":"Probabilistic Engine Performance Scatter and Deterioration Modeling","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2180600869","doi":"https://doi.org/10.1115/gt2007-27051","mag":"2180600869"},"language":"en","primary_location":{"id":"doi:10.1115/gt2007-27051","doi":"https://doi.org/10.1115/gt2007-27051","is_oa":false,"landing_page_url":"https://doi.org/10.1115/gt2007-27051","pdf_url":null,"source":{"id":"https://openalex.org/S4306503524","display_name":"ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Volume 5: Turbo Expo 2007","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012511716","display_name":"Stefan Spieler","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Spieler","raw_affiliation_strings":["Stuttgart University, Stuttgart, Germany","Stuttgart Univ., Stuttgart, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stuttgart University, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Stuttgart Univ., Stuttgart, Germany#TAB#","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026843237","display_name":"Stephan Staudacher","orcid":"https://orcid.org/0000-0003-2582-907X","observed_orcids":["https://orcid.org/0000-0003-2582-907X"]},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Staudacher","raw_affiliation_strings":["Stuttgart University, Stuttgart, Germany","Stuttgart Univ., Stuttgart, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stuttgart University, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Stuttgart Univ., Stuttgart, Germany#TAB#","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026281000","display_name":"Roland Fiola","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I130513772","display_name":"Rolls-Royce (Germany)","ror":"https://ror.org/05jeza980","country_code":"DE","type":"company","lineage":["https://openalex.org/I130513772","https://openalex.org/I866009140"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roland Fiola","raw_affiliation_strings":["Rolls-Royce Deutschland Ltd. & Co. KG, Blankenfelde-Mahlow, Germany","Rolls-Royce Deutschland Ltd & Co KG, Blankenfelde-Mahlow, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd. & Co. KG, Blankenfelde-Mahlow, Germany","institution_ids":["https://openalex.org/I130513772"]},{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd & Co KG, Blankenfelde-Mahlow, Germany#TAB#","institution_ids":["https://openalex.org/I130513772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030852813","display_name":"Peter Rudolf Sahm","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I130513772","display_name":"Rolls-Royce (Germany)","ror":"https://ror.org/05jeza980","country_code":"DE","type":"company","lineage":["https://openalex.org/I130513772","https://openalex.org/I866009140"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Sahm","raw_affiliation_strings":["Rolls-Royce Deutschland Ltd. & Co. KG, Blankenfelde-Mahlow, Germany","Rolls-Royce Deutschland Ltd & Co KG, Blankenfelde-Mahlow, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd. & Co. KG, Blankenfelde-Mahlow, Germany","institution_ids":["https://openalex.org/I130513772"]},{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd & Co KG, Blankenfelde-Mahlow, Germany#TAB#","institution_ids":["https://openalex.org/I130513772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024856765","display_name":"Matthias Wei\u00dfschuh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I130513772","display_name":"Rolls-Royce (Germany)","ror":"https://ror.org/05jeza980","country_code":"DE","type":"company","lineage":["https://openalex.org/I130513772","https://openalex.org/I866009140"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Wei\u00dfschuh","raw_affiliation_strings":["Rolls-Royce Deutschland Ltd. & Co. KG, Blankenfelde-Mahlow, Germany","Rolls-Royce Deutschland Ltd & Co KG, Blankenfelde-Mahlow, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd. & Co. KG, Blankenfelde-Mahlow, Germany","institution_ids":["https://openalex.org/I130513772"]},{"raw_affiliation_string":"Rolls-Royce Deutschland Ltd & Co KG, Blankenfelde-Mahlow, Germany#TAB#","institution_ids":["https://openalex.org/I130513772"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1073","last_page":"1082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.4948999881744385,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.4948999881744385,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.3686999976634979,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10944","display_name":"Turbomachinery Performance and Optimization","score":0.04729999974370003,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/aircraft-engine-performance","display_name":"aircraft engine performance","score":0.6079999804496765},{"id":"https://openalex.org/keywords/engine-deterioration","display_name":"engine deterioration","score":0.8600000143051147},{"id":"https://openalex.org/keywords/stochastic-modeling","display_name":"stochastic modeling","score":0.8579999804496765},{"id":"https://openalex.org/keywords/monte-carlo-simulation","display_name":"Monte Carlo simulation","score":0.8809999823570251},{"id":"https://openalex.org/keywords/sensitivity-analysis","display_name":"sensitivity analysis","score":0.6990000009536743},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"probability density function","score":0.8159999847412109},{"id":"https://openalex.org/keywords/endurance-testing","display_name":"endurance testing","score":0.6589999794960022},{"id":"https://openalex.org/keywords/maintenance-cost-estimation","display_name":"maintenance cost estimation","score":0.7879999876022339},{"id":"https://openalex.org/keywords/lifetime-distributions","display_name":"lifetime distributions","score":0.7260000109672546},{"id":"https://openalex.org/keywords/aircraft-engine-design","display_name":"aircraft engine design","score":0.5230000019073486}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6396793127059937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6305251717567444},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5816366076469421},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5310262441635132},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5016067028045654},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.4996962547302246},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.489555686712265},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4773450195789337},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45830869674682617},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.374602347612381},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2753673195838928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20515695214271545},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11078634858131409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10770314931869507},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/gt2007-27051","doi":"https://doi.org/10.1115/gt2007-27051","is_oa":false,"landing_page_url":"https://doi.org/10.1115/gt2007-27051","pdf_url":null,"source":{"id":"https://openalex.org/S4306503524","display_name":"ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Volume 5: Turbo Expo 2007","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2085220984","https://openalex.org/W2335947938","https://openalex.org/W1974390775","https://openalex.org/W2100118511","https://openalex.org/W1969394363","https://openalex.org/W2001069788","https://openalex.org/W3165710832","https://openalex.org/W2070063620","https://openalex.org/W2365908079","https://openalex.org/W2370840215"],"abstract_inverted_index":{"The":[0,175,232],"change":[1,237],"of":[2,43,46,56,80,110,114,133,172,187,212,226],"performance":[3,84,112,127,162,190,194,199,282],"parameters":[4,113],"over":[5],"time":[6],"due":[7],"to":[8,18,33,52,92,182,198,223,261,271,274],"engine":[9,23,38,58,116,141,149,160,265],"deterioration":[10,39],"and":[11,21,37,95,238,241,246,267,276,284],"production":[12,35,268],"scatter":[13,36],"plays":[14],"an":[15,57,115,123],"important":[16],"role":[17],"ensure":[19],"safe":[20],"economical":[22],"operation.":[24,105,204],"A":[25],"tool":[26,260],"has":[27],"been":[28,154,165],"developed":[29,135,256],"which":[30,100,213],"is":[31,214,221,251,257],"able":[32,222],"model":[34,206,255],"on":[40,83,97],"the":[41,54,78,131,134,170,179,188,210,254],"basis":[42],"elementary":[44],"changes":[45],"numerous":[47],"construction":[48],"features.":[49,231],"In":[50],"order":[51],"consider":[53],"characteristics":[55],"fleet":[59,117,161],"as":[60,62,144,146],"well":[61,145,197],"random":[63],"environmental":[64],"influences,":[65],"a":[66,126,258],"probabilistic":[67],"approach":[68],"using":[69],"Monte":[70],"Carlo":[71],"Simulation":[72],"(MCS)":[73],"was":[74],"chosen.":[75],"To":[76],"quantify":[77],"impact":[79],"feature":[81,236],"deviations":[82],"relevant":[85],"metrics,":[86],"non-linear":[87],"sensitivity":[88],"functions":[89,108],"are":[90,118,208],"used":[91],"obtain":[93],"scalars":[94],"offsets":[96],"turbomachinery":[98],"maps":[99],"reflect":[101],"module":[102],"behavior":[103],"during":[104],"Probability":[106],"density":[107],"(PDFs)":[109],"user-defined":[111],"then":[119],"calculated":[120],"by":[121,167],"performing":[122],"MCS":[124],"in":[125,203,263],"synthesis":[128],"program.":[129],"For":[130,156],"validation":[132,176],"methodology":[136],"pass-off":[137],"test":[138,142],"data,":[139,143],"endurance":[140],"data":[147,163,200],"from":[148,201],"maintenance":[150,217,247],"incoming":[151],"tests":[152],"have":[153,164],"used.":[155],"this":[157],"purpose,":[158],"measured":[159,189],"corrected":[166],"statistically":[168],"eliminating":[169],"influence":[171],"measuring":[173],"errors.":[174],"process":[177],"showed":[178],"model\u2019s":[180],"ability":[181,273],"predict":[183],"more":[184],"than":[185],"90%":[186],"variance.":[191],"Furthermore,":[192],"predicted":[193],"trends":[195],"correspond":[196],"engines":[202],"Two":[205],"enhancements":[207],"presented,":[209],"first":[211],"intended":[215],"for":[216,229,281],"cost":[218],"prediction.":[219],"It":[220],"generate":[224],"PDFs":[225],"failure":[227],"times":[228],"different":[230],"second":[233],"enhancement":[234],"correlates":[235],"operating":[239],"conditions":[240],"thus":[242],"connects":[243],"airline":[244],"operation":[245],"costs.":[248],"Subsequently,":[249],"it":[250],"shown":[252],"that":[253],"powerful":[259],"assist":[262],"aircraft":[264],"design":[266],"processes":[269],"thanks":[270],"its":[272],"identify":[275],"quantitatively":[277],"assess":[278],"main":[279],"drivers":[280],"variance":[283],"trends.":[285]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2016-06-24T00:00:00"}