 The proposed E-DOMP method is able to accurately extract fault features from vibration signals and then use them to train a support vector machine, S-theum, classifier, known as Eulensim FD, for accurate diagnosis of various types and severity levels of faults in rotating machinery. This article was authored by Huaman Zhao, Meng Sun, Wu Deng, and others.