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- W765833362 abstract "Reducing the direct operating-costs is now crucial in order to ensurecompetitive advantages for airlines and manufacturers, and so effectiveadvanced engine-condition monitoring methodologies are necessary. Hencegas-path diagnostics and prognostics methods are reviewed and thespecifications for such effective tools deduced, together with their pertinentfuture prospects.First, the considerable value that a preliminary observability study adds to thediagnostics process was recognised. A secure procedure has been devised: itis capable of (i) the identification of the severity of correlations between any twoof the available measurements, as well as the correlations between any two ofthe component changes, (ii) the identification of more complex correlations thatinvolve more than two changes in performance parameters, and (iii) thequantification of the quality of the system observability through a pertinentparameter. This enables comparisons among a significant number ofmeasurement set selections.The core of the research is a novel gas-path diagnostics (GPD) method thatuses fuzzy logic in order to provide secure quantification of the gas-pathcomponent faults. A fuzzy diagnostics system was set up for the Rolls-RoyceTrent 800 engine that relies on an extensive statement of fuzzy rules generatedusing an engine model to achieve a quantitative solution through a non-linearapproach, which is competent to achieve (i) SFI (single fault isolation) in thepresence of noisy data, (ii) tuning over a known global deterioration level for allthe performance parameters (baseline) computed for the previous flight, (iii)partial MFI (multiple fault isolation) with up to 2 degraded components (i.e. 4performance parameters) considerably faulty at the same time, (iv) SFI whileisolating systematic errors in the measurements (biasses). A bias-tolerantsystem was devised by means of the NOT logical operator and a newformulation of the fuzzy rules that includes the location of the bias.An innovative prognostics framework was devised, which uses ARIMA modelsand regression models respectively for short and long term investigations, tocompute forecasts and the associated prediction intervals, which are aimed atassisting the prognostics decision-making process. This is strictly related to thediverse business intentions: in this study safety and economic relatedapplications are investigated. For example, the optimisation of the TBO (timebetween overhauls) considering maintenance cost and additional fuel cost dueto the deterioration is studied and the potential cost savings for the operatorshighlighted.HMP 1.1 for performance analysis was developed: it is a health-monitoring andprognosticsframework consisting of three modules that perform respectivelyobservability study, gas-path diagnostics and prognostics. The substantialbenefits that can be achieved with such a tool, relative to the enhancedmaintenance planning and improved mission scheduling, are discussed in thethesis…" @default.
- W765833362 created "2016-06-24" @default.
- W765833362 creator A5078493936 @default.
- W765833362 date "2004-07-01" @default.
- W765833362 modified "2023-09-23" @default.
- W765833362 title "Gas-path diagnostics and prognostics for aero-engines using fuzzy logic and time series analysis" @default.
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