Paper
31 December 2008 A vibration testing system for a roots blower rotor based on a virtual instrument
Fumao Wang, Yijie Cui, He Li, Bangchun Wen, Bisheng Chen
Author Affiliations +
Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 71301R (2008) https://doi.org/10.1117/12.819601
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China
Abstract
In this paper, on the basis of traditional rotor fault diagnosis and vibration measurement technology, and combined with rotor dynamics, a virtual instrument and digital signal processing technology, an online monitoring system for the rotor of a roots blower is set up. The system is made up by a sensor, a signal conditioning circuits, a data acquisition cards and a computer. By the graphical design software LabVIEW, the signals of the rotor system such as speed, amplitude, frequency and axes orbit can be monitored in the real time-domain. Regarding the rotor vibration characteristics in the time- and frequency-domain as the major fault symptoms and using spectrum analysis or time-domain analysis to deal with all data, it provides the characteristics and mapping to inform about the operating state of the rotor system. Finally, by means of the model test, the dynamic characteristics of a rub-impact rotor are analyzed, and the reliability of the system is verified.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fumao Wang, Yijie Cui, He Li, Bangchun Wen, and Bisheng Chen "A vibration testing system for a roots blower rotor based on a virtual instrument", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71301R (31 December 2008); https://doi.org/10.1117/12.819601
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Data acquisition

LabVIEW

Signal processing

Data processing

Vibrometry

Computing systems

Back to Top