Title :
A PC-based vibration analyzer for condition monitoring of process machinery
Author :
Ansari, Saleem A. ; Baig, Rauf
Author_Institution :
Inst. of Nucl. Power, Pakistan Atomic Energy Comm., Islamabad, Pakistan
fDate :
4/1/1998 12:00:00 AM
Abstract :
A fast-response PC-based vibration analyzer has been developed for fault detection and preventive maintenance of process machinery. The analyzer acquires multiple vibration signals with high resolution, and computes frequency spectra, root mean square amplitude, and other peak parameters of interest. Fast execution speed has been achieved by performing data acquisition and frequency spectrum computation using C-language. Vibration signals up to 10 kHz can be analyzed by the spectrum analyzer. Special algorithms, such as window smoothing, digital filtering, data archiving and graphic display have also been incorporated. With these features the vibration analyzer can perform most of the functions available in complex, stand-alone machines. The software for the analyzer is menu driven and user-friendly. The personal computer used is a 66 MHz PC-486 compatible machine. The use of a general purpose PC and standard programming language makes the vibration analyzer simple, economical, and adaptable to a variety of problems. The applications of the system in malfunction detection in rotating machinery are also described
Keywords :
automatic test software; computerised monitoring; condition monitoring; data acquisition; dynamic testing; fast Fourier transforms; fault diagnosis; machine testing; vibration measurement; 10 kHz; C-language; PC-based vibration analyzer; VIBRATION computer code; calibration; condition monitoring; data acquisition; data archiving; digital filtering; fast execution speed; fast-response; fault detection; frequency spectra; graphic display; high resolution; malfunction detection; menu driven software; multiple vibration signals; peak parameters; preventive maintenance; process machinery; root mean square amplitude; spectrum analyzer; user-friendly; window smoothing; Condition monitoring; Data acquisition; Fault detection; Frequency; Machinery; Preventive maintenance; Root mean square; Signal analysis; Signal resolution; Spectral analysis;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on