A Fuzzy Clustering Method for Turbo-generator Vibration Faulty Diagnosis
Zhang Bi · Turbine Technology · 2002
This paper introduces a fuzzy clustering method in turbogenerator vibration faulty diagnosis. The classfied samples is composed of standard faulty samples and checked samples. The initial sort is acquired by fuzzy equivalent matrix and F statistic. At the same time, the intial iterative matrix for the fuzzy c means is also acquired. So it gets the most optimize class matrix and the fuzzy clustering center. The experimental results indicate that the method in this paper is available and has a good foreground.