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A Single Point of Centrifugal Truth: Closing the Gap Between Operations and Maintenance Through Real-Time Performance Data

Centrifugal pumps are vital pieces of industrial equipment. While maintenance and operations departments agree that it is important to keep them up and running, each department’s views on care for the application start to differ when the pumps malfunction. From operations' point of view, maintenance is responsible for keeping the assets in optimal condition.
 
From maintenance’s point of view (assuming the company has purchased high-quality pumps), many potential issues are a direct result of the manner in which the application is used. This dynamic can turn into a blame game that quickly sours the atmosphere.

By Derek Benner, Maintenance Consultant, Samotics
Timely Data Can End the Blame Game

What is needed is a way to put operations and maintenance back on the same team: a neutral source of timely data that the two departments can use together, to solve and prevent centrifugal pump breakdowns. With the same real-time data available to everyone, the patterns behind recurring breakdowns can be identified, and there would be no need to search for a human source of error.

High-Frequency Current and Voltage Data

A data-driven tool, such as a system to remotely monitor the health of centrifugal pumps and other rotating equipment in real time, can be beneficial. A system such as SAM4 can use learning algorithms to analyze high-frequency current and voltage data in order to accurately predict upcoming machine failures. Simple metrics like running time, energy use, and starts/stops are part of the main dashboard for every asset the system monitors. The use of current and voltage data (rather than vibration, temperature, or other physical signals) enables the system to provide complex metrics that help companies save energy, improve performance, and extend machine life. One of these metrics is a real-time pump performance curve.

Figure 1: SAM4’s pump performance dashboard. The data for each metric (head, flow, power, etc.) is plotted against time at the top left, for comparison. Head vs. flow is plotted in the top right graph, power vs. flow in the bottom. The black curve in these two graphs is the pump’s designed operation at the current speed; the red dots are its actual operation at this speed over the selected time period.
Figure 1: SAM4’s pump performance dashboard. The data for each metric (head, flow, power, etc.) is plotted against time at the top left, for comparison. Head vs. flow is plotted in the top right graph, power vs. flow in the bottom. The black curve in these two graphs is the pump’s designed operation at the current speed; the red dots are its actual operation at this speed over the selected time period.

A Real-Time Pump Performance Curve

The pump performance curve is based on the affinity laws, which relate a pump’s shaft speed and power consumption to its head and flow. Shaft speed and power consumption, in turn, are directly related to the instantaneous current and voltage drawn by the pump’s motor. As a result, the system can automatically plot a pump’s operation relative to its best efficiency point in real time, using the data it is already collecting to monitor for developing damage. Figure 1 shows how a pump’s real-time performance is plotted against its designed operation.

The calculations used to plot this curve are brand-independent; they can be made for any pump, as long as the pump owner provides the motor’s rated efficiency and RPM, and the suitable pump and power reference curves.

Figure 2: The real-time performance dashboard for an oil transfer pump, showing the data for the user’s chosen time frame (here an eight-hour period).
Figure 2: The real-time performance dashboard for an oil transfer pump, showing the data for the user’s chosen time frame (here an eight-hour period).

The Real-Time Pump Curve in Action

Figure 2 shows an eight-hour view of the performance data  for a centrifugal pump that moves oil from a storage tank to a tank truck. At the top left of the graph, the pump’s startup time, each of its three loading sessions, and the pump’s operation between sessions are clearly depicted.

In the graphs depicted on the right side of Figure 2, the gathered information is plotted on the pump curve, with the best efficiency point (BEP) marked by the black triangle. Each cluster of red dots reflects the pump’s actual operation in one of those three states: startup, loading, and waiting. Through these graphs, the pump owner can see precisely when the pump is operating well, and when it is operating poorly. This data instantly communicates two valuable pieces of information: the pump's very off-BEP operation (top graph), and its power consumption (bottom graph).

From this data, both the maintenance and operations departments can make informed decisions on how to improve the pump's efficiency. Looking at this pump’s operating points, it becomes clear that it is too large for its chosen task. If it continues to operate at this speed, seals and bearings will begin to break down more often and the pump will ultimately wear out faster. A solution might be to install a smaller pump. Alternatively, the operations department could add in a VFD to maintain greater pump capacity during different operational requirements. Either way, maintenance and operations are able to use hard data to understand the true source of this pump’s problems, and to find the best solution together.

Figure 3: Using the pump performance dashboard, the pump owner found several pumps like this one that could be run at a lower speed (after making the necessary process changes), thereby moving operation closer to BEP and lowering power consumption. Further improvement would require replacing the pump (the pump is oversized).
Figure 3: Using the pump performance dashboard, the pump owner found several pumps like this one that could be run at a lower speed (after making the necessary process changes), thereby moving operation closer to BEP and lowering power consumption. Further improvement would require replacing the pump (the pump is oversized).

Data-Driven Insight to Feed Productive Discussion

The ability to plot a pump’s real-time operation against its performance curve is helpful to both operations and maintenance. It shows them what the pump is actually doing, giving both departments a clear understanding of how the pump is being used and how it performs. Similar pumps can be compared; are they really being operated in the same way? It is a single point of truth that allows these departments to have a genuine, blame-free discussion on how to keep their pumps running in the most efficient and effective way.


About the Author

Derek Benner is a maintenance consultant at Samotics with 16 years of experience in corrective, preventive, and condition-based maintenance. After earning a BS in mechanical engineering, Derek wrote his MBA thesis on how new industrial technologies will affect operations and maintenance organizations.

 

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