... 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...

... signal. The estimation has been used to clearly explain the cause of this accident. maximum likelihood estimation neural nets turbogenerators The economic and secure operation of power stations directly affects the reliability of the whole power systems that play a fundamental role...

... neural nets principal component analysis probability self-organising feature maps support vector machines 01 07 2007 05 09 2007 29 04 2008 In the rest of the paper, we will focus on the more difficult to classify Data Set 2 only. Large engine health-monitoring data...

... of time it would take the original thermal model to compute. 28 06 2006 24 07 2006 11 01 2008 aerospace engineering aerospace engines internal stresses neural nets thermal stresses turbines Accurate life prediction for turbine engines has become increasingly important...

... and costs. gas turbines fault diagnosis thermodynamics stochastic processes neural nets mechanical engineering computing 29 06 2006 24 01 2007 As the deviation vector Z * for steady states, the generalized vector W * is a pattern to be recognized...

... is illustrated. 01 10 2005 01 02 2006 fuzzy logic fault diagnosis neural nets turbomachinery mechanical engineering computing inference mechanisms Maintenance management of industrial facilities is a major task for all manufacturing companies. Investments...

..., but there is no true loss of generality here because correction factors for engine parameters due to ambient temperatures and pressures can be derived following the procedure of ( 13 ). Fourier transforms neural nets radial basis function networks aerospace engines fault diagnosis learning (artificial...

.... Quadratic fit for standard deviation of stress versus life fraction for all samples 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...

... 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...

... filters neural nets gas turbines performance evaluation fault diagnosis The goal of gas turbine performance diagnostics is to accurately detect, isolate, and assess the changes in engine module performance, engine system malfunctions, and instrumentation problems from knowledge of measured...

... by IGTI, December 2001, final revision, March 2002. Associate Editor: E. Benvenuti. 03 June 2002 01 December 2001 01 March 2002 15 08 2003 gas turbines electric sensing devices neural nets fault diagnosis aerospace engines aerospace instrumentation aerospace computing...

...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...

... 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 processing of data which are often unpredictable and imprecise...

..., Germany, May 8–11, 2000; Paper 00-GT-185. Manuscript received by IGTI February 2000; final revision received by ASME Headquarters January 2001. Associate Editor: M. Magnolet. 08 May 2000 01 February 2000 01 January 2001 neural nets simulation gas turbines heat industrial...

...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...