Abstract
Industrial hydraulic pumps are complex structures on which vibrations can be harmful for reliability, fatigue of components and productivity. The application of vibration analysis and diagnosis on a huge water treatment pump at the City of Montreal’s facility is presented in this paper. By using a Short Time Auto-Regressive (STAR) method combined with a modal test, it is seen that the dynamic properties and behavior of the pump included both rotating and fixed structures can be evaluated from the experimental analysis on the vibration measurement signal during its normal working condition. Natural frequencies, damping ratios and rotating speed can be clearly identified and monitored. It is shown that the analysis and diagnosis from operational vibration measurement is a very effective technique for the assessment of the huge machines in real working condition.
Highlights
A series of the EBARA pumps (Fig. 1) with three blades and operating at varying speeds is installed at the Montreal city’s water treatment plant since the 1970’s years
High amplitudes vibrations were witnessed on those pumps at operational speed near 350 RPM [5], and vibration analysis was called in order to identify those high amplitude vibration causes and by consequence to propose corrections
As the operation of the machines can deal with time varying effects such as loading, rotation speed or even damages, the operational vibrations usually come from non-stationary sources
Summary
A series of the EBARA pumps (Fig. 1) with three blades and operating at varying speeds is installed at the Montreal city’s water treatment plant since the 1970’s years. High amplitudes vibrations were witnessed on those pumps at operational speed near 350 RPM [5], and vibration analysis was called in order to identify those high amplitude vibration causes and by consequence to propose corrections. Time series models such as the autoregressive (AR) or autoregressive moving average (ARMA) have been. The advantages of the method are its ability to work fast, accurately online on multi channels measurements, the automation on modes and harmonics distinction [8], its ability to deal with non-stationary signals and with modal parameters uncertainty [9]
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