Shaft orbit analysis based on LabVIEW for fault diagnosis of rotating machinery

Abstract

A method of axis orbit analysis based on LabVIEW is researched in order to recognize the fault of rotating machinery. A rotor fault diagnosis system including a fault simulation platform, a set of testing devices and a signal analysis program is developed. The signal analysis program can be used to realize some functions such as data acquisition, signal analysis, processing and display, pattern recognition and fault diagnosis. With this program the fault diagnosis system can be operated to automatically measure and identify the shaft orbit of a rotor and get fault results, which the key principle is on the basis of the invariant moment algorithm for pattern recognition. The experimental results show that the shaft orbit of a rotor can be synthesized and identified through the invariant moment calculation. Because the shape of the shaft orbit of the rotor is close to an ellipse shape the fault result is imbalance. This study is helpful to develop an online fault diagnosis system based on LabVIEW for the fault diagnosis of rotating machinery.