… to obtain fault patterns to diagnose … rotating machinery fault diagnosis. Therefore, the decision
tree algorithm C4.5 is employed in this paper to make fault diagnosis of rotating machinery…

… rotating machinery fault diagnosis problem is proposed, which is based on principal components
analysis (PCA… kernel support vector machine (MSVM) to achieve the fault classification. …

… analysis to identify fault patterns in rotating machinery. The intent … based fault detection
process and to understand the capability of this method of maintenance. Because vibration-based …

… in the field of fault diagnosis of rotating machinery. This paper presents a multi-discipline
method based on image-processing for fault diagnosis of rotating machinery. Different from …

… But, for PCA or … PCA just preserves the global variance information of Euclidean space and
that of LPP only keeps the local structure features. Based on the respective attributes of PCA …

… The test accuracy was 97.8% and the test results have shown that SVM can indeed be
greatly considered for fault detection and diagnosis of rotating equipment using vibration data. …

… The main objective of the test rig used in this research is to simulate common faults in rotary
machines installed in many industries. It was constructed from two shafts supported on four …

… The advantages are also confirmed by the comparisons with the other two approaches, ie
the principal component analysis (PCA) and probabilistic neural network (PNN) based method …

… a comprehensive review of AI algorithms in rotating machinery fault diagnosis, from both the
views of … on the features processed by dimensional reduction methods such as PCA, KPCA, …

… ’ rotating machines with different foundation flexibilities, this study proposes a simplified
vibration-based fault diagnosis … In this study, PCA is applied for examining the relationship …