... of parts, the misalignment due to shaft displacements could be taken into account. Email: felipewst@fem.unicamp.br angular misalignment disc coupling finite element method fault diagnosis vibration spectrums machine dynamics mechanical signatures rotor dynamics Misalignment...

... the Doppler shift of the acoustic signal acquired by the microphone for wayside fault diagnosis of train bearings. The most common method for eliminating the Doppler shift is to resample the original signal at a certain sample rate, in which the core technique is to establish a set of resampling...

.... rolling element bearing fault diagnosis ensemble empirical mode decomposition (EEMD) Teager energy operator Teager energy spectrum Rolling element bearings play an important role in engineering machinery, and they have a high failure rate, due to harsh running conditions. Hence, fault...

... classification accuracy of 97% was obtained over a range of rotating speeds. 08 07 2010 30 10 2010 09 09 2011 09 09 2011 fault diagnosis feature extraction materials testing neural nets pattern classification rolling bearings vibrations Using Parzen’s window...

... distributions and thus identify the type of looseness fault at machinery. electric machines fault diagnosis Hilbert transforms machine bearings rotors vibrations HHT EEMD looseness fault diagnosis vibration analysis marginal Hilbert spectrum Because of long-term running or improper...

... ( 2 ), pp. 332 – 349 . 10.1016/j.ymssp.2005.02.009 Wu , J. D. , and Chuang , C. Q. , 2005 , “ Fault Diagnosis of Internal Combustion Engines Using Visual Dot Patterns of Acoustic and Vibration Signals ,” NDT Int. 0308-9126 , 38 , pp. 605 – 614 . 10.1016/j.ndteint.2005.02.007...

...Yaguo Lei; Zhengjia He; Yanyang Zi This paper presents a new method for fault diagnosis of rolling element bearings, which is developed based on a combination of weighted K nearest neighbor ( W K NN ) classifiers. This method uses wavelet packet transform based on the lifting scheme to preprocess...

... 11 2009 aerospace components aerospace engines ball bearings beams (structures) failure (mechanical) fault diagnosis integration mechanical contact rotors stators vibrations In general, the rotor of aero-engine is supported on the stator casing through bearing...

... Machinery Based on Cyclostationary Time Series Model ,” ASME J. Vibr. Acoust. 0739-3717 10.1115/1.2345674 , 128 ( 5 ), pp. 666 – 671 . Wang , Y. C. , 2003 , “ Progress and Prospects of Intelligence Fault Diagnosis Technology ,” Journal of Xuzhou institute of Architectural Technology , 3...

... emission rubbing wavelet transform reassigned wavelet scalogram fault diagnosis Acoustic emission (AE) ( 6 ) is defined as the resulting transient elastic wave generated when the strain energy is released suddenly due to the relative motion among the particles, such as atom, molecule...

.... , and Cristalli , C. , 2005 , “ Optimization of Morlet Wavelet for Mechanical Fault Diagnosis ,” 12th International Congress on Sound and Vibration (ICSV ’05) , Lisbon, Portugal , Jul., Vol. 1 . Lin , J. , and Qu , L. , 2000 , “ Feature Extraction Based on Morlet Wavelet and Its Application...

... (2006AA04Z430). Qiao , S. , Ping , C. , Da , Z. , and Feng , X. , 2004 , “ Pattern Recognition for Automatic Machinery Fault Diagnosis ,” Trans. ASME, J. Vib. Acoust. 1048-9002 10.1115/1.1687391 , 126 ( 2 ), pp. 307 – 316 . Jing , L. , Ming , J. Z. , and Ken , R. F...

... , “ Autoregressive Model-Based Gear Fault Diagnosis ,” ASME J. Vibr. Acoust. 0739-3717 10.1115/1.1456905 , 124 ( 2 ), pp. 172 – 179 . Capdessus , C. , Sidahmed , M. , and Lacoume , J. L. , 2000 , “ Cyclostationary Processes: Application in Gear Faults Early Diagnosis ,” Mech. Syst. Signal...

... acoustic emission testing condition monitoring electrohydrodynamics fault diagnosis lubrication machine bearings machine testing acoustic emission bearing monitoring elastohydrodynamic lubrication The application of acoustic emission (AE) for bearing diagnosis is gaining ground...

..., synchronous averaging is a well known technique for extracting periodic waveforms from noisy signals ( 11 12 13 ), and has found wide applications in machine vibration monitoring and fault diagnosis ( 14 15 16 ). With this approach, successive records of the time waveform, one period apart, are averaged...

... differential equations springs (mechanical) vibrations fault diagnosis structural health monitoring damage identification nonlinear dynamics attractor analysis differential evolution excitation optimization prediction error evolutionary algorithms Research within the structural health...

... signal. fault diagnosis time series vibrations structural acoustics autoregressive processes gears helicopters The cost to maintain and replace industrial facilities constitutes a significant portion of the annual operating budget for organization in the manufacturing and processing...

... to be independent. 11 08 2003 16 11 2004 29 11 2004 turbines fault diagnosis vibrational modes aerospace industry modelling variational techniques crack detection geometry Vehicle health monitoring systems are becoming a critical safety boosting component in a significant...

... the performance of the multiple fault diagnosis scheme. Three state left-to-right continuous density HMMs were used to model the bearing conditions. Three Gaussian distributions were used in the output map for each state. In the feature extraction process, we used 0.34 s ( 2 12 data points) windows...

... to be effective in detecting gear faults when cyclostationary analysis by itself fails. acoustic filters automotive components wavelet transforms vibrations gears fault diagnosis mechanical testing Wavelet analysis and cyclostationary analysis have both been employed to detect fault symptoms...