Department of Automobile and Transportation Engineering, Nanjing Forestry University, Nanjing 210037, China;Institut für Technische Logistik und Arbeitssysteme, TU Dresden, Dresden-Plauen 01187, Germany 在期刊界中查找 在百度中查找 在本站中查找
This paper introduced the concept of CBM and illuminated two diagnostic applications of machinery equipment CBM. One is Expert System Diagnostic, and the other one is Numerical Feature State Recognition Method. It compared the two methods. In the end, it showed some example of CBM diagnostic system.