… of fault diagnosis for rotating machinery, especially those are … using the fault datasets of
rotating machinery. Random forest is … forest algorithm to rotating machinery fault diagnosis and …

… Rotating machinery such as … is a key supporting part used in rotating machinery, and it is
prone to frequent failures. As its operation directly affects the performance of the entire machine, …

… Two different classification strategies of support vector machine (typical support vector
machine for binary classification and one-against one support vector machine for multi-class …

… It ignores that the rotating machinery is in a normal state most of … for rotating machinery
combing optimized support vector data description (SVDD) and optimized support vector machine …

… technique called support vector machine. In order to develop a support vector machine–…
from healthy and unbalanced rotor installed on machine fault simulator. Then, three critical …

… fault diagnosis methods for rotating machinery, such as low efficiency and low accuracy,
we propose a fault diagnosis method based on support vector machine (SVM) optimized by …

… imaging along with support vector machine (SVM) classification to simulate machinery faults,
… The observed results show that fault diagnosis using thermal images for rotating machines …

… multi-class solver, that is, a support vector regressive classifier, is established through a …
, support vector machine and support vector regression. The proposed new machine health …

… the most common machine elements. As they are extensively used in rotating machinery,
their health … The signals measured from rotating machines are usually affected by the working …

… support vector machine (SVM), a representative machine learning algorithm, with vibration
data from a normal axis and a misaligned shaft axis of a rotating machine… in rotating machines …