... downtime, and optimize power generation efficiency. Although deep learning techniques have been widely applied to fault diagnosis tasks, yielding remarkable performance, practical implementations frequently confront the obstacle of acquiring a substantial quantity of labeled data to train an effective deep...

... 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...

... on this model, faults in multiple sensors can be isolated and identified simultaneously. Performance of the KPCA-based method is demonstrated with real NPP measurements. 23 07 2010 26 07 2010 29 12 2011 29 12 2011 fault diagnosis instruments nuclear power stations power generation...

... of predefined severity fault levels exists a priori in order to construct our proposed UKF and EKF detection filters from the corresponding nonlinear models of the jet engine. Therefore, one natural direction for future research will be to develop a robust fault diagnosis scheme in which the fault severity...

... capability of the sparse estimator. In particular, the constraints help resolve a confusion issue between high pressure compressor and variable stator vanes faults. 08 04 2011 09 04 2011 01 09 2011 01 09 2011 compressors condition monitoring electrical accidents fault diagnosis...

... 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...

... subjecting them to fault detection and isolation algorithms. 23 08 2010 15 12 2010 03 05 2011 03 05 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...

... 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...

... increasingly important. ball bearing rotor experiment nonlinear vibration ball bearings fault diagnosis finite element analysis nonlinear dynamical systems rotors turbomachinery vibrations 31 03 2009 05 10 2009 28 05 2010 28 05 2010 2010 American Society...

... 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 small sample sizes. 25 03 2009 06 04 2009 27 01 2010 27 01 2010 aerospace engines aircraft condition monitoring costing fault diagnosis gas turbines turbines diagnostics metrics cost curves confusion matrices In the past 10 years, interest has grown...

...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...

... and turbine behavior in deteriorated conditions close to the design corrected rotational speed can be considered acceptable. 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...

... N Δ f j n 3 s j = 1 N − 1 ∑ n = 1 N ( Δ f j n − Δ f j ¯ ) 2 17 09 2008 30 09 2008 09 06 2009 engines fault diagnosis gas turbines probability Engine health monitoring is of great...

... modes, substantial number of operating modes, and possible occurrence of multiple faults simultaneously, FDI in complex safety-critical systems is a formidable challenge. adaptive systems data reduction data visualisation fault diagnosis gas turbines jet engines least mean squares methods...

... of performance and its recovery by maintenance. The performance trends obtained are useful for further fault diagnosis. Figure 5 shows the comparison of selection ratio and accuracy among the algorithms of base load data selection. Here, the threshold for each algorithm was determined so that the 99th...

.... 26 04 2007 01 05 2007 aerospace engines fault diagnosis maintenance engineering gas turbines remaining life assessment in-flight fault detection trend monitoring on-board engine model Kalman filter Early detection of faults is an important aspect in the health...

.... Multiple layer perceptrons have been successfully applyied ( 19 ) to solve difficult pattern recognition problems since a back-propagation algorithm had been proposed for the training. We have chosen this network type for the fault diagnosis at both steady states and transients. To make a diagnosis...

... 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 ...

... aerospace engines fault diagnosis sensors piecewise linear techniques in-flight fault detection on-board engine model Kalman filter flight safety In-flight diagnostics of aircraft gas turbine engines is a critical task for the improvement of aviation safety. The capability to detect...