... methodology allows for a more realistic performance analysis of a high-pressure compressor stage. 02 05 2011 03 06 2011 03 01 2012 03 01 2012 aerodynamics blades compressors manufacturing processes probability rotors The influence of manufacturing variability...

... nonlinear effects. They were able to compare the approximations of RSM with SRS results using the same random sample set and found errors ranging from 1% to ∼ 8 % among the outlying lower probability samples. The value of uncertainty analysis on systems is well established and yet gas turbine...

... of which may lead to premature fracture. The probability of failure of a component with multiple anomaly types can be predicted using established system reliability methods provided that the failure probabilities associated with individual anomaly types are known. Unfortunately, these failure probabilities...

... system. A practical case study is presented using wall thickness inspection data collected from Canadian nuclear plants. 10 08 2009 28 08 2009 24 09 2010 24 09 2010 boilers corrosion fission reactors inspection pipe flow pipes probability Pipes transporting hot...

... of the fretting process is formulated and calibrated using failure data from an existing engine fleet. The resulting calibrated model is used to quantify the influence of inspection on the probability of fracture of an actual military engine disk under real life loading conditions. The results can be applied...

... detection technique, which is based on Bayesian forecasting and dynamic linear models (DLMs). Bayesian forecasting enables the calculation of conditional probabilities, whereas DLMs are a mathematical tool for time series analysis. The combination of the two methods can be used to calculate probability...

.... The results are used to derive fault probabilities, which are then fused to derive a conclusion as to the location of a fault. Once the set of possible faulty components is determined, a well defined diagnostic problem is formulated and the faulty parameters are determined by means of a suitable algorithm...

...Sean Bradshaw; Ian Waitz This paper presents a probability-based systems-level approach for assessing the impact of manufacturing variability on combustor liner durability. Simplified models are used to link combustor life, liner temperature variability, and the effects of manufacturing variability...

... cycle, jump phenomena, etc. The transitional probability density function (PDF) for the random response of nonlinear systems under white or colored noise excitation (delta-correlated) is governed by both the forward Fokker–Planck (FP) and backward Kolmogorov equations. This paper presents efficient...

.... In the multiclass case, a hyperplane separating each pair of faults (classes) is found, and the final classification decision is made based on a majority vote among the binary classifiers. The PNN is a supervised method to estimate the probability distribution function of each class ( 4 5 ). The likelihood...

... the impact of feature deviations on performance relevant metrics, nonlinear sensitivity functions are used to obtain scalars and offsets on turbomachinery maps, which reflect module behavior during operation. Probability density functions (PDFs) of user-defined performance parameters of an engine fleet...

...Harry R. Millwater; Michael P. Enright; Simeon H. K. Fitch Titanium gas turbine disks are subject to a rare but not insignificant probability of fracture due to metallurgical defects, particularly hard α . A probabilistic methodology has been developed and implemented in concordance...

... are excellently predicted, and the mean axial velocities are in fairly good agreement with the experimental data for all three combustion models. The mean temperature profiles are fairly well captured by the probability density function (PDF) and eddy dissipation (EDS) combustion models. However, the EDS-finite...

... by L min , k , α min , k , L max , k and α max , k . The random mesh of the blade is modeled by assuming that all the nodes of the mesh are allowed to fluctuate with respect to the nominal mesh. The probability distributions p T i...

...E. Capiez-Lernout, Graduate Student; C. Soize, Professor The random character of blade mistuning is a motivation to construct probability models of random uncertainties. Recently, a new approach known as a nonparametric model of random uncertainties, based on the entropy optimization principle...

...., American Society for Testing and Materials, pp. 15–35. Brooksbank , D. , and Andrews , K. W. , 1972 , “ Stress Fields Around Inclusions and Their Relation to Mechanical Properties ,” Journal of the Iron and Steel Institute , 210 , pp. 246 – 255 . 3 Summation of the probability...

.... A capacitance sensor for instantaneous void fraction measurements was developed. The mean and probability density function of the instantaneous void fraction signal can be used to effectively identify the different flow regimes. The current flow regime data show significant differences in the transitional...

...M. P. Mignolet; C.-C. Lin; B. H. LaBorde A recently introduced perturbation technique is employed to derive a novel closed form model for the probability density function of the resonant and near-resonant, steady state amplitude of blade response in randomly mistuned disks. In its most general form...

...Dinu Taraza The paper presents an original probabilistic model of the balance of internal combustion engines. The model considers the manufacturing tolerances and predicts the most probable value of the first-order residual unbalance for engines that—theoretically—have the first order forces...