Condition Monitoring & Predictive Maintenance: Addressing Key Topics in Packaging

A recent study by the Packaging Machinery Manufacturers Institute (PMMI) and Interact Analysis takes a close look at packaging industry interest and needs for Condition Monitoring and Predictive Maintenance. Customer feedback reveals interesting data on packaging process pain points and the types of machines and components which are best monitored, the data which should be gathered, current maintenance approaches, and the opportunity for a better way: Condition Monitoring and Predictive Maintenance.

What keeps customers awake at night?

The PMMI survey indicates that form, fill & seal machines are very critical to packaging processes and more likely to fail than many other machines. Also critical to the process and a common failure point are filling & dosing machines, and labeling machines.

These three categories of machines are in use in primary packaging and are often the key components in the production line; the downstream processes are usually less critical. They often process a lot of perishable products at high speeds, therefore, any downtime is a big problem for overall equipment effectiveness (OEE), quality, and profitability.

In terms of the components on these machines that are most likely to fail, the ones are pneumatic systems, gearboxes, motors/drives, and sensors.

How can customers reduce unplanned downtime and improve OEE?

Our data shows that the top customer issue is unplanned machine breakdowns, but many packaging firms use reactive or preventative maintenance approaches, which may not be effective for most failures. An ARC study found that only about 20% of failures are age-related. The 80% of failures that are non-age-related would likely not be addressed by reactive or preventative maintenance programs.

A better way to address these potential failures is to monitor the condition of critical machines and components. Condition monitoring can provide early detection of machine deterioration or impending failure and the data can be used for predictive maintenance. Many “smart sensors” can now measure vibration, temperature, humidity, pressure, flow, inclination, and many other attributes which may be helpful in notifying users of emerging problems. And some of these “smart sensors” can also “self-monitor” and help alert users to potential failures in the sensor itself.

What are packaging customers actually doing?

The good news is that the packaging industry is moving forward to find a better way and users understand that Condition Monitoring/Predictive Maintenance gives them the opportunity to prevent unplanned failures, reduce unplanned downtime, and improve OEE, quality and profitability. About 25% of customers have already implemented some sort of Condition Monitoring / Predictive Maintenance, while about 20% are piloting it and 30% plan to implement it. This means that 75% of customers are very interested in Condition Monitoring/Predictive Maintenance, by far the most interest in any technology discussed in the PMMI survey.

Where do you start?

    • Look for the machines which cause you the most frustration. PMMI identified form, fill & seal, filling & dosing, and labeling machines, but there are other machines, including bottling, cartoning, and case/tray handling, that could fail and cause production downtime or damaged product.
    • Consider where, when, and how equipment can fail. Look to your own experience, ask partners with similar machines or perhaps the equipment supplier to help you determine the most common failure points and modes.
    • Analyze which parts of the machine fail. Moving parts are usually the highest potential failure point. On packaging machines, these include motors, gearboxes, fans, pumps, bearings, conveyors, and shafts.
    • Consider what to measure. Vibration is common, and often assessed in combination with temperature and humidity. On some machines, pressure, flow, or amperage/voltage should be measured.
    • Determine the most appropriate maintenance program for each machine. Consider the costs/benefits of reactive, preventative, condition-based monitoring or predictive approaches. In some cases, it may be OK to let a non-critical, low-value asset “run-to-failure,” while in other cases it might be worth investing in Condition Monitoring or Predictive Maintenance to prevent a critical machine’s costly failure.
    • Start small by implementing condition monitoring on one or two machines, and then scaling up once you’ve learned what does and doesn’t work. Using a low-cost sensor, which can be easily integrated with existing controls architectures or added on externally, is also a great way to start.

Condition Monitoring and Predictive Maintenance offer packaging firms a “better way” to address key topics including machine downtime, failures, and OEE. Users can move from a reactive to a proactive maintenance approach by monitoring attributes such as vibration and temperature on critical machines and then analyzing the data. This will allow them to detect and predict potential failures before they become critical, and thereby, reduce unplanned downtime, improve OEE, and save money.

What Machine Vision Tool is Right for Your Application?

Machine vision is an inherent terminology in factory automation but selecting the most efficient and cost-effective vision product for your project or application can be tricky.

We can see machine vision from many angles of view, for example market segment and application or image processing deliver different perspectives. In this article I will focus on the “sensing element” itself, which scan your application.

The sensing element is a product which observes the application, analyzes it and forwards an evaluation. PC is a part of machine vision that can be embedded with the imager or separated like the controller. We could take many different approaches, but let’s look at the project according to the complexity of the application. The basic machine vision hardware comparison is

  1. smart sensors
  2. smart cameras
  3. vision systems

Each of these products are used in a different way and they fit different applications, but what do they all have in common? They must have components like an imager, lens, lighting, SW, processor and output HW. All major manufacturing companies, regardless of their focus or market segment, use these products, but what purpose and under what circumstances are they used?

Smart Sensors

Smart sensors are dedicated to detecting basic machine vision applications. There are hundreds of different types on the market and they must quickly provide standard performance in machine vision. Don’t make me wrong, this is not necessarily a negative. These sensors are used for simple applications. You do not want to wait seconds to detect QR code; you need a response time in milliseconds. Smart sensors typically include basic functions like:

  • data matrix, barcode and 2D code reading
  • presence of the object,
  • shape, color, thickness, distance

They are typically used in single purpose process and you cannot combine all the features.

Smart Cameras

Smart cameras are used in more complex projects. They provide all the function of smart sensors, but with more complex functions like:

  • find and check object
  • blob detection
  • edge detection
  • metrology
  • robot navigation
  • sorting
  • pattern recognition
  • complex optical character recognition

Due to their complexity, you can use them to find products with higher resolution , however it is not a requirement. Smart cameras can combine more programs and can do parallel several functions together. Image processing is more sophisticated, and limits may occur in processing speed, because of embedded PC.

Vision Systems

Typically, machine vision systems are used in applications where a smart camera is not enough.

Vision system consists of industrial cameras, controller, separated lighting and lens system, and it is therefore important to have knowledge of different types of lighting and lenses. Industrial cameras provide resolution from VGA up to 30Mpxl and they are easy connected to controller.

Vision systems are highly flexible systems. They provide all the functions from smart sensors and cameras. They bring complexity as well as flexibility. With a vision system, you are not limited by resolution or speed. Thanks to the controller, you have dedicated and incomparable processing power which provides multi-speed acceleration.

And the most important information at the end. How does it look with pricing?

You can be sure that smart sensor is the most inexpensive solution. Basic pricing is in the range of $500 – $1500. Smart cameras can cost $2000 – $5000, while a vision system cost would start closer to $6000. It may look like an easy calculation, but you need to take into consideration the complexity of your project to determine which is best for you.

Pros Cons Cost
Smart sensor
    • Easy integration
    • Simple configuration
    • Included lightning and lenses
    • Limited functions
    • Closed SW
    • Limited programs/memory
$
Smart camera
    • Combine more programs together
    • Available functions
    • Limited resolution
    • Slower speed due to embedded PC
$$
Vision system
    • Connect more cameras(up to 8)
    • Open SW
    • Different resolution options
    • Requires skilled machine vision specialist
    • Requires knowledge of lightning and lenses
    • Increased integration time
$$$

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Smart IO-Link Sensors for Smart Factories

Digitizing the production world in the age of Industry 4.0 increases the need for information between the various levels of the automation pyramid from the sensor/actuator level up to the enterprise management level. Sensors are the eyes and ears of automation technology, without which there would be no data for such a cross-level flow of information. They are at the scene of the action in the system and provide valuable information as the basis for implementing modern production processes. This in turn allows smart maintenance or repair concepts to be realized, preventing production scrap and increasing system uptime.

This digitizing begins with the sensor itself. Digitizing requires intelligent sensors to enrich equipment models with real data and to gain clarity over equipment and production status. For this, the “eyes and ears” of automation provide additional information beyond their primary function. In addition to data for service life, load level and damage detection environmental information such as temperature, contamination or quality of the alignment with the target object is required.

One Sensor – Multiple Functions

This photoelectric sensor offers these benefits. Along with the switching signal, it also uses IO-Link to provide valuable information about the sensor status or the current ambient conditions. This versatile sensor uses red light and lets you choose from among four sensor modes: background suppression, energetic diffuse, retroreflective or through-beam sensor. These four sensing principles are the most common in use all over the world in photoelectric sensors and have proven themselves in countless industrial applications. In production this gives you additional flexibility, since the sensor principles can be changed at any time, even on-the-fly. Very different objects can always be reliably detected in changing operating conditions. Inventory is also simplified. Instead of four different devices, only one needs to be stocked. Sensor replacement is easy and uncomplicated, since the parameter sets can be updated and loaded via IO-Link at any time. Intelligent sensors are ideal for use with IO-Link and uses data retention to eliminate cumbersome manual setting. All the sensor functions can be configured over IO-Link, so that a remote teach-in can be initiated by the controller.

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Diagnostics – Smart and Effective

New diagnostics functions also represent a key feature of an intelligent sensor. The additional sensor data generated here lets you realize intelligent maintenance concepts to significantly improve system uptime. An operating hours counter is often built in as an important aid for predictive maintenance.

The light emission values are extremely helpful in many applications, for example, when the ambient conditions result in increased sensor contamination. These values are made available over IO-Link as raw data to be used for trend analyses. A good example of this is the production of automobile tires. If the transport line of freshly vulcanized tires suddenly stops due to a dirty sensor, the tires will bump into each other, resulting in expensive scrap as the still-soft tires are deformed. This also results in a production downtime until the transport line has been cleared, and in the worst case the promised delivery quantities will not be met. Smart sensors, which provide corresponding diagnostic possibilities, quickly pay for themselves in such cases. The light remission values let the plant operator know the degree of sensor contamination so he can initiate a cleaning measure before it comes to a costly production stop.

In the same way, the light remission value BOS21M_ADCAP_Produktbild.png allows you to continuously monitor the quality of the sensor signal. Sooner or later equipment will be subject to vibration or other external influences which result in gradual mechanical misalignment. Over time, the signal quality is degraded as a result and with it the reliability and precision of the object detection. Until now there was no way to recognize this creeping degradation or to evaluate it. Sensors with a preset threshold do let you know when the received amount of light is insufficient, but they are not able to derive a trend from the raw data and perform a quantitative and qualitative evaluation of the detection certainty.

When it comes to operating security, intelligent sensors offer even more. Photoelectric sensors have the possibility to directly monitor the output of the emitter LED. This allows critical operating conditions caused by aging of the LED to be recognized and responded to early. In a similar way, the sensors interior temperature and the supply voltage are monitored as well. Both parameters give you solid information about the load condition of the sensor and with it the failure risk.

Flexible and Clever

Increasing automation is resulting in more and more sensors and devices in plant systems. Along with this, the quantity of transported data that has to be managed by fieldbus nodes and controllers is rising as well. Here intelligent sensors offer great potential for relieving the host controller while at the same time reducing data traffic on the fieldbus. Pre-processing the detection signals right in the sensor represents a noticeable improvement.  A freely configurable count function offers several counting and reset options for a wide variety of applications. The count pulses are evaluated directly in the sensor – without having to pass the pulses themselves on to the controller. Instead, the sensor provides status signals, e.g. when one of the previously configured limit values has been reached. This all happens directly in the sensor, and ensures fast-running processes regardless of the IO-Link data transmission speed.

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Industry 4.0 Benefits

In the age of Industry 4.0 and IoT, the significance of intelligent sensors is increasing. There is a high demand from end users for these sensors since these functions enable them to use their equipment and machines with far greater flexibility than ever before. At the same time they are also the ones who have the greatest advantage when it comes to preventing downtimes and production scrap. Intelligent sensors make it possible to implement intelligent production systems, and the data which they provide enables intelligent control of these systems. In interaction with all intelligent components this enables more efficient utilization of all the machines in a plant and ensures better use of the existing resources. With the increasing spread of Industry 4.0 and IoT solutions, the demand for intelligent sensors as data providers will also continue to grow. In the future, intelligent sensors will be a permanent and necessary component of modern and self-regulating systems, and will therefore have a firm place in every sensor portfolio.

To learn more about these smart sensors, visit www.balluff.com.

IMTS 2016 Review: IO-Link Enables Industry 4.0 Installations

We have been talking about IO-Link for a long time.  The benefits to manufacturers like “hot-swapping” a smart device.  One of the benefits for machine builder is reducing commissioning time.  So it was not surprising to me to find IO-Link on the exhibit floor at IMTS 2016, but it was surprising how much IO-Link was used on equipment and demonstrations.

Makino IO-Link I/O Hubs

On a cool demo of robotic load and unload of two machining centers from the team at Makino Machine IO-Link was used for I/O applications driving solenoids and collecting sensor inputs.

What is neat about I/O hubs regardless of the brand is the ability to collect many simple discrete sensor inputs and drive outputs over one IO-Link channel.  It can save tim dramatically over traditional hardwired applications.

Beckhoff IO-Link Master for EtherCAT
Beckhoff IO-Link Master for EtherCAT
Molex IO-Link Inter-operability

At Beckhoff they were showing their IO-Link master options for a slice in the PLC.

Molex displayed their Profinet IO-Link master and slave devices like analog converter and digital I/O hubs.  What I liked about their demo is they showed how open and easy the IO-Link technology is to integrate other company’s devices like the Balluff SmartLight.

Klingelnberg IO-Link

In the Klingelnberg booth on one of their flagship machines IO-Link masters and SmartLight were installed on the machine. IO-Link inductive positioning Smart Sensors from Balluff were used for measurement of the chucking position.

And inter-operability was also shown with multiple manufacturer’s process sensors with IO-Link installed tied back to a Profinet master.  Since IO-Link is an open standard with over 90 automation vendors, it was nice to see the inter-operability in action.

Caron Eng Demo of SmartLight

The SmartLight was shown all over the IMTS show due to Caron Engineering’s easy integration into a PC without an industrial network.  Too many booths to name had the SmartLight integrated with the Caron IO-Link Master solution.

The fact that IO-Link can be used with multiple master interfaces and options, really makes it an easy to select and universal choice for a variety of applications.

 

I look forward to seeing what unfolds in the two years before the next IMTS show.  I anticipate there will be a dramatic and continued adoption of IO-Link as it enables and scales Industry 4.0 and IIoT applications.

To see more or join the conversation check out #IMTS2016 on Twitter.

A Simple Way to Improve Speed and Efficiency

We are all efficiency-hungry. We want everything from service in restaurants to production on our plant done efficiently. Sometimes we use the term “speed” interchangeably with efficiency. Is that really a big deal? Of course it is.  How many times have you placed an order at the drive-through window of a fast-food chain and gotten wrong items or incomplete orders? Why do they make mistakes? Because, they are measured on customer response time (speed) and not on accuracy of the delivery (efficiency) — again speed replaced efficiency.

So is the maintenance team at your production plant efficient or speedy?  In my opinion, once you have the right maintenance person for the problem at hand they would be both efficient and speedy. The point I want to make is that identifying what type of maintenance service your system needs is the important part in making your maintenance team efficient in responding. Another way would be hiring all-rounder maintenance person who can handle electrical, mechanical and all other issues that your system can throw at him/her. How many of those all-rounders you can find and keep?

Today, in most plants we see three-segment or five-segment stack lights on almost all sorts of equipment that tells you the status of the work-cell: Green = everything good; Red = Need maintenance now!!! But, does it tell you about type of maintenance? So, what do we do? We send our maintenance tech out to the system; he looks up error codes on the small 8×10 HMI and figures out that the system needs an electrical tech to handle the situation. Wouldn’t it be nice, if that stack-light was a little smarter to tell you that “Hey, this system needs {electrical, pneumatic or mechanical} maintenance” instead of just flashing a red light? If it was that intelligent it would probably also tell you that this work-cell is running out of raw materials, or how the system is performing to the production quota etc.

SmartLightWell, I have great news: since the introduction of our one of a kind SmartLights our customers shared so many novel uses of this intelligent LED tower light that it is hard to capture all of them in one blog. I would like to share some quick examples though. As this SmartLight has three programmable modes of operations; stack-light mode, run-light mode and level mode, there are several possibilities of showing different information about the system using the single SmartLight. In one application, when the system needs operator/maintenance intervention, the controller (PLC or computer) switches the SmartLight in run-light mode and utilizes different combinations of foreground and background colors to indicate what type of maintenance and what severity of maintenance is needed. In another application, our customer utilizes the level mode of operation to show how different stations are performing so that plant supervisor and pin-point the bottleneck of the process and provide needed support to ensure efficient operations in the plant. Furthermore, lots of these applications were done as an after-thought to the existing systems in place.

SmartLight is one of the ways to improve your efficiency and speed. If you have unique SmartLight application to share feel free to comment on this blog.

Learn more about the SmartLight in our video library or on our website at www.balluff.us/smartlight.

IO-Link is the USB for Industrial Automation

I’ve recently heard this comparison used a number of times and the parallels are quite interesting.  USB was designed to help standardize a dizzying array of connectors and configurations of supplementary devices that developed during the age of the Compaq vs IBM.  It always took days to configure and establish communication between devices and then finally you could never get all the functionality that the device promised because of your PC’s specific configuration.  USB revolutionized the personal computer by allowing for a standard interface for simple devices from hard-drives to keyboard lights, and best of all by offering a device drivers the functionality promised could be delivered.  If the device broke, you bought a new one, plugged it in and it worked.

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3 Production Problems Solved by Intelligent Sensors

In typical sensors all you get is ON or OFF… we just hope and assume that the prox is working, until something doesn’t work properly.  The part is seated but the sensor doesn’t fire or the operator can’t get their machine to cycle.  This can sometimes be tricky to troubleshoot and usually causes unplanned interruptions in production while the maintenance teams attempt to replace the sensor.  On some recent customer visits on the east coast, I have had a number of  interesting conversations about the customer’s need to collect more information from their sensors; specifically questions like:

  • How do I know the sensor is working?
  • How do I predict sensor failure?
  • How do I know something has changed in the sensor application?
  • How do I get my sensor to provide adaptive feedback?
  • How do I plan preventative maintenance?
  • How can I increase the overall equipment throughput?
  • How can I increase my process reliability?

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You can be doing MORE with Your Sensors!

Recently Hank Hogan published an article in Control Design titled “Sensor, Diagnose Thyself.”  (To be honest, I really wanted to steal his title for my blog entry.)   I think Hank did a great job dissecting the key benefits of smart sensors and the amazing things you can do with them.  Utilizing the technology IO-Link (that we have discussed in many past Blog Entries), sensors can communicate more with the controller and provide more data than ever before.

Some of the key points that I really thought are useful to maintenance and engineers at end-user facilities or machine builders:

  • Being able to detect and notify about pending failures; for example a photoeye’s lens is dirty and needs to be cleaned.
  • A failed sensor needs to be swapped out quickly; IO-Link allows for the smart sensors settings to be cloned and the swap to be executed super fast.
  • Configure a sensor before installation; program with your laptop: sample rate, response time, measurement settings, on/off switch points, anything!
  • One platform can be used for many sensor types;  this gives familiarity to a single interface while using multiple sensor types and technologies.
  • In the future sensors in a wireless cloud would self-heal;  this is an amazing concept and if we can figure out the price for radios and batteries to make it cost-effective, I think this could be a game changer someday.

But all that being said, it really comes down to the total cost of ownership doing it the standard sensor way versus the smart sensor way.  I think you will pay more upfront in capital but down the line there will be less cost in maintenance and downtime.

To learn more about about IO-Link visit www.balluff.us

The Best Way to Communicate with Smart Sensors

When I am discussing with customers the use of smart sensors and smart devices in industrial automation, I always get posed with these questions:

  • How do the smart sensors interface with the controller?
  • How do you configure the device?
  • How do you get diagnostics out of it?
  • What other information can it provide?

This is sort of solved in a muddled world of proprietary communications or expensive network enabled sensors.  But John and I have been talking for a long time about IO-Link, which can easily and cost effectively answer all these questions!

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Add Value with Smart Linear Position Sensors

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Way back when (in the sensor world, “way back when” = about 10 years), linear position sensors had to do only one thing: provide linear position feedback.  But these days, merely sensing linear position is not always enough.  In order to meet the needs of increasingly sophisticated applications, linear position sensors sometimes need to be able to provide advanced functionality.  Listed below are just a few of the advanced features that some of today’s linear position sensors offer.

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