using non-dimentional pump curves to detect wear
using non-dimentional pump curves to detect wear
(OP)
Does anyone have experience detecting pump wear by looking for changes in non-dimentional pump curves (H-Q) produced from field data on variable speed pumps? I'm thinking of comparing a curve from a new as-installed pump, with one taken at a later time on the same pump





RE: using non-dimentional pump curves to detect wear
Having done that, you could just tell the system controller to occasionally compare the operating point with the curve for a new pump, and phone you when the pump goes away.
Mike Halloran
Pembroke Pines, FL, USA
RE: using non-dimentional pump curves to detect wear
RE: using non-dimentional pump curves to detect wear
**********************
"Pumping accounts for 20% of the world's energy used by electric motors and 25-50% of the total electrical energy usage in certain industrial facilities."-DOE statistic (Note: Make that 99% for pipeline companies) http://virtualpipeline.spaces.live.com/
RE: using non-dimentional pump curves to detect wear
RE: using non-dimentional pump curves to detect wear
RE: using non-dimentional pump curves to detect wear
If you're running lean and mean, and can't afford a person to grow old with the pump, then, yes, you need the controller to do it, and I concur that it should be possible.
Mike Halloran
Pembroke Pines, FL, USA
RE: using non-dimentional pump curves to detect wear
At x speed with y inlet head -- any change to head, flow, and power while factoring in the de-rating for any slurry variables in real time will give you an indication of drooping performance (wear of components). To correlate this into something meaningful might be an other story (other than the pump is now losing performance) but I guess overtime, reduced performance in conjunction with visual inspection of the wear components should be able to give you an indication of the amount of wear measured against any speed increase to maintain output.
RE: using non-dimentional pump curves to detect wear
The general method is used by the more advanced pipeline SCADA systems in order to predict for example, what the flowrate should be at any given setting, and to warn operators when some parameters are seen to be deviating from previous history, possibly as an indication that maintenance is required, or when other hydraulic parameters are not consistant, as evidence of pipeline leaks, etc.
**********************
"Pumping accounts for 20% of the world's energy used by electric motors and 25-50% of the total electrical energy usage in certain industrial facilities."-DOE statistic (Note: Make that 99% for pipeline companies) http://virtualpipeline.spaces.live.com/