... neural nets power engineering computing real-time systems For safe and stable operation of an aerospace propulsion system, the control system must be able to provide the necessary thrust or lift required depending on the mode of operation all the while accounting for the interactions between...

... systems ( 2 ), neural networks ( 3 ), special filters, or fuzzy logic ( 4 ). engine diagnostics failure detection gas turbine performance aerospace engines Bayes methods diagnostic expert systems failure analysis flaw detection fuzzy logic gas turbines neural nets probability time...

... are presented and widely discussed. 02 01 2009 06 01 2009 20 07 2009 gas turbines genetic algorithms maintenance engineering neural nets power engineering computing power generation economics power generation planning power markets power system management Since CPU...

... , “ Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks ,” IEEE Trans. Neural Netw. 1045-9227 10.1109/72.80341 , 2 ( 2 ), pp. 302 – 309 . 02 01 2008 17 04 2008 22 08 2008 maximum likelihood estimation neural nets turbogenerators The economic...

... data visualisation fault diagnosis gas turbines jet engines least mean squares methods neural nets principal component analysis probability self-organising feature maps support vector machines Safety-critical systems, such as gas turbine engines, demand real-time fault detection...

... aerospace engineering aerospace engines internal stresses neural nets thermal stresses turbines Accurate life prediction for turbine engines has become increasingly important in recent years as military and commercial aircraft fleet age, and engine component failures cause unplanned maintenance...

... stochastic processes neural nets mechanical engineering computing 29 06 2006 24 01 2007 2007 American Society of Mechanical Engineers ...

... rig Flow chart of measurement procedure Feed forward network LVQ neural network 01 10 2005 01 02 2006 fuzzy logic fault diagnosis neural nets turbomachinery mechanical...

... neural network exhibits stronger noise robustness and the GSLNs converge at a much superior speed. 04 10 2004 17 10 2005 Fourier transforms neural nets radial basis function networks aerospace engines fault diagnosis learning (artificial intelligence) The application...

.... 19 11 2004 04 10 2005 engines nondestructive testing photoluminescence stress measurement remaining life assessment thermal barrier coatings regression analysis neural nets mean square error methods electron beam deposition platinum compounds aluminium compounds...

... improvements in the total run time have also been observed. The advanced cycle Intercooled Recuperated WR21 engine has been used as the test engine for implementing the diagnostics model. 01 10 2003 01 03 2004 sensors fault diagnosis genetic algorithms neural nets engines reliability...

... that the weightings could be optimized, the tests were run with all the weightings set to unity. The results from the Hybrid neural net are shown in Tables 7 and 8 , for eight and four measurements, respectively. The accuracy of the Hybrid neural network compares favorably with the Kalman SFI. For the eight...

... electric sensing devices neural nets fault diagnosis aerospace engines aerospace instrumentation aerospace computing Detection and isolation of faults that may occur in an engine, at an early stage of their appearance is of great importance to aviation. Measurements of quantities related...

...S. A. Nelson, II; Z. S. Filipi; D. N. Assanis A technique which uses trained neural nets to model the compressor in the context of a turbocharged diesel engine simulation is introduced. This technique replaces the usual interpolation of compressor maps with the evaluation of a smooth mathematical...

.... 08 May 2000 01 11 1999 01 02 2000 26 03 2002 data mining neural nets gas turbines compressors adaptive control fault diagnosis Within the area of stationary gas turbines, machine health monitoring, fault prognosis, and diagnosis rely on effective...

... the optimization of a cost function which takes the various aspects (plant initial cost, maintenance, consumables, and emissions of pollutants) into consideration. neural nets simulation gas turbines heat industrial plants 08 May 2000 01 February 2000 01 January 2001...

...P.-J. Lu; M.-C. Zhang; T.-C. Hsu; J. Zhang Application of artificial neural network (ANN)-based method to perform engine condition monitoring and fault diagnosis is evaluated. Back-propagation, feedforward neural nets are employed for constructing engine diagnostic networks. Noise-contained...

... 01 January 2001 power plants emission neural nets nitrogen compounds air pollution control Because of the harmful effects on environment and human health, nitrogen oxides NO x emissions, produced by combustors and engines, have been the subject of restrictive...