1660317328027 Endresshauserindustryperspective

Smart instruments provide smart insight

April 11, 2022
Asset health monitoring leads to predictive maintenance practices that have real impact on productivity.

Editor's Note: This post was sponsored by Endress+Hauser.

Modern technologies and innovative designs are enhancing the efficiency and effectiveness of asset surveys, inspections, measurements, and analysis. With more and more smart equipment, factories have more data available for asset health monitoring, which leads to better overall safety and more productive facilities.

Plant Services talked with Keith Riley, Product Marketing Manager for Level+Pressure at Endress+Hauser, which provides measurement instrumentation, services and solutions for industrial process engineering. They discussed asset health monitoring—what it is, how it impacts safety and productivity on the factory floor, and what’s next for smart instruments.

Q: Let’s start off at the basics. From an instrument perspective, what is asset health monitoring?

A: You used the right term, basics. At Endress+Hauser, we look at it as the ability to identify the overall health and functionality of a smart instrument.

Q: I’m sure it’s really important in terms of how this affects the end user. So why is asset health monitoring so important to your customers?

A: It really extends beyond the instrument. Obviously, that’s the first thing that you look at, but ultimately, it’s going to impact the safety and productivity of the facility as a whole.

Q: And in what ways? Can you talk more about how asset health monitoring is impacting safety and productivity?

A: In certain situations, the traditional practice of run to failure can still be utilized. However, more often than not, we’re seeing unscheduled downtime and maintenance as not being tolerated in a facility. It leads to increased maintenance expense and reduced productivity. That means predictive maintenance, as an extension of asset health monitoring, is really a significant benefit to the facility.

Risk mitigation also comes into play. We already have numerous examples of the impact instrument failure can have on applications, such as overfill prevention. Being able to dependably monitor the health of a device and identify issues prior to a safety event can significantly reduce the risk to both personnel and the facility.
Finally, there’s also the impact on yield. If your instrument is out of specification, what impact does that have on your throughput and the product quality?

Q: So how are today’s smart instruments tackling some of these issues?

A: First, we’re using improved diagnostics to provide faster and more accurate troubleshooting.

Q: Can you give an example of what you mean there?

A: Absolutely. One of the best examples is the use of NAMUR NE 107 diagnostics in real-world situations.

Let me give you an example. It’s very typical that as a maintenance technician is out in the facility, he might see a warning on an instrument. All smart instruments are going to give you an error code. Let’s use a fictional warning number W601, as an example. This is great because it tells you there is an issue and it is trying to identify what that problem is, but at this point, there’s no way the technician is going to understand what that error code is trying to tell him and what the instrument is. And these are the steps that typically happen. First, he’s either going to call back to a control room for somebody to try to find the right maintenance manual for that instrument, or he is going to go back to the maintenance shop himself to try to find it, find the code, find the description of what it means, and then look at what the solution is.

NAMUR NE 107 cuts through all that in several different ways. First, you’re going to have a dashboard symbol on there that makes it very easy to tell the significance of what’s going on. Is it a simple maintenance issue where the instrument is still giving out a valid reading, or is it something more severe? Right away, this helps the technician start to prioritize how they’re going to have to deal with it.

Secondly, not only are you getting that error code, you’re also getting a plain English description of the problem so that right away, they have a basic understanding of what’s going on at that point in time. Now, this is the really neat part. With a display and push buttons, you can actually drill down right there on the instrument and get an explanation of what the solution is to that problem. Or if you’re using something like a Bluetooth communication and a smart app in conjunction with that, you can do the same thing, and within five minutes of being in front of the instrument, you can identify the problem, troubleshoot it, and know what your proper solution is versus spending 30 or 45 minutes trying to track everything down.

Q: Are diagnostics the only benefit available from these type of smart instruments?

A: Absolutely not. There are other benefits, such as in situ verification, that allows you to perform a qualitative analysis on the instrument’s overall health with a high total test coverage and also without process interruption. In other words, while you’re performing that verification, the instrument is still giving valid process data to the control system.

Q: Can you talk about any specific use cases for this type of monitoring?

A: There are a number. One of the most common that comes to mind is foam detection. The development of foam in a process is a common problem and one that can create a lot of expense. In most cases, the facility has no good way to know exactly when foam starts to develop. So they simply apply foam retardant on a very time-based schedule, honestly, regardless of whether the foam exists or not. As you can imagine, this can become quite expensive because foam retardant isn’t cheap. Utilizing a radar device that can detect a reduction in signal strength as an indication of foam allows the control system to dispense the foam retardant on-demand versus on its set schedule. This leads to a significant cost savings for the facility.

A second example would be loop diagnostics. Pressure transmitters with loop diagnostics can identify issues such as corrosion, or faulty wiring, or power supplies that are starting to fail, that otherwise, would impact quality of the 4 to 20 mA signal being received.

Q: Let’s look into the future a little bit. What do you see as the next evolution in asset health monitoring?

A: Really, it should be creating easier access to the valuable process information already available in your smart instruments. Adopting technology changes such as industrial Ethernet protocols for two-wire instruments and advanced physical layer, commonly referred to as advanced physical layer (APL) architecture.

Q: Those are some important technology changes. Can you talk a little bit more about how industrial Ethernet protocols and APL will improve asset health monitoring?

A: First, it’s going to make it easier and faster to access instrument data for analysis. Industrial Ethernet protocols have initial speeds of 10 megabytes per second versus the 1.2 kilobyte per second for HART. Plus you’re not going to be limited to only a 4-20 mA signal or a small number of visible parameters. Industrial Ethernet will also make it easier to separate control data from health or maintenance data. Control data can continue to be sent to the DCS or primary control system while the balance is regulated to a separate physical system or the cloud for easier access. This also limits the number of people that are actually in the primary control system. Ultimately, this will earn greater efficiency for the end-user.

This story originally appeared in the April 2022 issue of Plant Services. Subscribe to Plant Services here.

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