UNBALANCE DEFECT DETECTION IN ROTATING MACHINES BY MEANS OF SOUND ANALYSIS

Abstract

Defect detection in rotating machines in the early stages becomes more prioritized. In this respect, cheap, user-friendly and precise assessment techniques and tools need to be developed. This paper researches the feasibility of unbalance defect detection in rotating machines based on sound analysis. It is well known that sound carries important information about the condition of rotating parts in rotating machines. Two rotating machines were analyzed to find the differences in sound pattern between a fully functional machine and a machine with unbalance defect. It has proven difficult to definitely determine the unbalance defect by using a simple signal processing technique. Further work in this area was suggested.