Motor Fault Diagnosis with Multisensor Data Fusion
Jinsong Huang · 2005
AC motor fault diagnosis is a field of research with much uncertainty. Nowadays diagnosis is always based on signature of single parameter like vibration, curre nt, temperature, or chemical components, and because of the uncertainties of mod eling environment and signal processing method, decisions we make are sometimes even wrong. This paper analyzes the uncertainties in traditional fault diagnosi s method, and introduces the idea of using multisensor data fusion to handle the se uncertainties. Several parameters other than single one will be used in a fus ion system. A fusion diagnosis system (FDS) structure is introduced and critical issues in practice are analyzed.