Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognostics
Bearings are common and vital elements in rotating machinery. By tracking the condition of
a bearing, unscheduled machinery outages and costly damage caused by a bearing failure …
a bearing, unscheduled machinery outages and costly damage caused by a bearing failure …
K-hybrid: a kurtosis-based hybrid thresholding method for mechanical signal denoising
This paper presents a kurtosis-based hybrid thresholding method, K-hybrid, for denoising
mechanical fault signals. The threshold used in the hybrid thresholding method is …
mechanical fault signals. The threshold used in the hybrid thresholding method is …
[PDF][PDF] Bearing health assessment and fault diagnosis using the methods of fast Fourier transform and self-organizing map
LLH Wang, J Lee - Proc. 61st Meeting Soc. Mach. Failure …, 2007 - researchgate.net
This paper presents a method for bearing fault diagnosis and health assessment, which is
comprised of the following two steps:(1) the application of Fast Fourier Transform (FFT) to …
comprised of the following two steps:(1) the application of Fast Fourier Transform (FFT) to …
Diagnosis of induction machine by time frequency representation and hidden Markov modelling
L Abdesselam, C Guy - 2007 IEEE International Symposium on …, 2007 - ieeexplore.ieee.org
This paper deals with a new fault detection and diagnosis scheme of an induction machine.
Our method is based on time-frequency representation (TFR) and hidden Markov model …
Our method is based on time-frequency representation (TFR) and hidden Markov model …
[图书][B] Fault detection using autoregressive modelling techniques
S Thanagasundram - 2007 - search.proquest.com
The use of spectral analysis for fault detection and diagnostics in real-time has been
conservative due to concerns over large processing requirements, especially when large …
conservative due to concerns over large processing requirements, especially when large …