... 25 01 2012 25 01 2012 accelerometers acoustic emission condition monitoring fault diagnosis feature extraction gears microphones principal component analysis sensor fusion tachometers time-frequency analysis vibrations wind turbines wind turbine gearbox condition...

... be considered. Therefore, special attentions should be paid to those sensors during the next maintenance cycle. Mean reconstruction errors for data sets 6 23 07 2010 26 07 2010 29 12 2011 29 12 2011 fault diagnosis instruments nuclear power stations power generation...

... by implementing both the extended Kalman filter and the unscented Kalman filter as detection filters. Simulation results presented demonstrate the effectiveness of our proposed multiple model FDI algorithm for both structural and actuator faults in the jet engine. actuators compressors fault diagnosis gas...

... that the concentration capability of a least-squares-based algorithm could be improved by introducing a regularisation term that promotes sparsity. 08 04 2011 09 04 2011 01 09 2011 01 09 2011 compressors condition monitoring electrical accidents fault diagnosis gas turbines jet engines...

... is intended to investigate the influence of measurement parameter selection toward the effectiveness of GPA algorithm. An analytical methodology for measurement selection, combined with measurement subset concept, is developed to properly select measurements for multiple component fault diagnosis...

... 2011 fault diagnosis gas turbines power filters recursive filters Gas turbines are widely used in aero-engines, naval vessels, and power generation. Due to their high cost and continuous performance, the condition of these mechanical systems needs to be monitored regularly. Typically...

... the engine model parameters is independently verified by successful estimation of parameters by nonlinear least-squares estimation. 22 12 2009 26 03 2010 24 08 2010 24 08 2010 fault diagnosis jet engines least squares approximations parameter estimation wavelet transforms...

... 03 2009 05 10 2009 28 05 2010 28 05 2010 ball bearings fault diagnosis finite element analysis nonlinear dynamical systems rotors turbomachinery vibrations ball bearing rotor experiment nonlinear vibration Ball bearings are one of the essential...

... solution for elimination of this fault and it is proved to be effective through practical test. 08 02 2009 10 07 2009 16 03 2010 16 03 2010 fault diagnosis machine bearings steam turbines partial arc admission partial arc steam forces fault diagnosis diagonal...

... to generate confidence intervals for them. turbines diagnostics metrics cost curves confusion matrices aerospace engines aircraft condition monitoring costing fault diagnosis gas turbines 25 03 2009 06 04 2009 27 01 2010 27 01 2010 2010 Her Majesty...

...Young K. Lee; Dimitri N. Mavris; Vitali V. Volovoi; Ming Yuan; Ted Fisher This paper presents an offline fault diagnosis method for industrial gas turbines in a steady-state. Fault diagnosis plays an important role in the efforts for gas turbine owners to shift from preventive maintenance...

... Compressors ,” Proc. Inst. Mech. Eng., IMechE Conf. , 163 , pp. 235 – 248 . 10.1243/PIME_PROC_1950_163_026_02 04 07 2008 10 07 2008 24 11 2009 24 11 2009 fault diagnosis gas turbines In gas turbines, one of the major contributions to performance decrease in both...

.... It is demonstrated that the method has an improved effectiveness when compared with previous GPA based methods. engines fault diagnosis gas turbines probability Engine health monitoring is of great importance for gas turbines today, since it is related to safety, aircraft availability, fleet management...

... 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...

... of performance and its recovery by maintenance. The performance trends obtained are useful for further fault diagnosis. The proposed base load data selection algorithms, together with the subsequent performance modeling as a linear function of ambient conditions, were applied to a total of 31 , 000 h...

... Institute Lecture Series: Gas Turbine Condition Monitoring and Fault Diagnosis . Roth , B. A. , Doel , D. L. , and Cissell , J. J. , 2005 , “ Probabilistic Matching of Turbofan Engine Performance Models to Test Data ,” ASME Paper No. GT2005-68201. Kobayashi , T. , and Simon...

... Congress of Electromechanical Engineering and Systems , National Polytechnic Institute , Mexico City, Mexico, Nov. 14–18 . Ogaji , S. O. T. , Li , Y. G. , Sampath , S. , and Singh , R. , 2003 , “ Gas Path Fault Diagnosis of a Turbofan Engine From Transient Data Using Artificial...

... a number of faults for which in-flight accommodation is considered. fault diagnosis aerospace safety evolutionary computation jet engines aerospace simulation 09 09 2005 04 01 2007 2007 American Society of Mechanical Engineers ...

... environment and can potentially mislead diagnostic systems to generate incorrect results. in-flight fault detection on-board engine model Kalman filter flight safety Kalman filters aerospace engines fault diagnosis sensors piecewise linear techniques 2007 American Society...

..., to produce sets of candidate solutions with a lesser number of parameters. These sets can then be processed to derive an accurate component fault diagnosis. It could thus be classified as a new type of "concentrator" approach, which is shown to be more effective than previously existing schemes. The method's...