Study on Remote Condition Monitoring and Fault Diagnosis System for Rotating Machinery Based on LabVIEW
In order to suit the demand of monitoring and fault diagnosis of modern small and medium machinery devices better, this paper discusses the development of machinery condition monitoring and fault diagnosis system of good universality and strong expansibility using LabVIEW. Mainly illuminates vibration signal, temperature signal and electric current signal acquisition module using NI data acquisition hardware; signal analysis module in time domain, frequency domain and joint time–frequency domain using signal processing technology. DataSocket, database and fuzzy diagnosis technique have been utilized enabling this system to monitor and diagnose machinery fault remotely.
Ran Chen, Dongye Sun and Wen-Pei Sung
C. H. Wu et al., "Study on Remote Condition Monitoring and Fault Diagnosis System for Rotating Machinery Based on LabVIEW", Advanced Materials Research, Vols. 430-432, pp. 1939-1942, 2012