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Predictive maintenance

Accurate forecast for cable wear

If a cable is moved thousands of times over the years, it will eventually reach the end of its service life and need to be replaced. Until now, getting the timing right has been a lottery. A new technology from Lapp, which tracks the ageing of the cable and recommends the best time to replace it, makes it easier.

The Predictive Maintenance Box is being further developed and refined at the test center. © Lapp

When people talk about Industry 4.0, the term predictive maintenance usually comes up quickly. Predictive maintenance is probably the technology that promises the greatest application and benefit potential in the digitalized factory. It takes the place of reactive maintenance, in which a part is replaced when the machine is already failing. However, this can be expensive if an entire production line comes to a standstill. This is why parts are often replaced prophylactically even though they are still working, which is a waste of money. Predictive maintenance, on the other hand, uses sensor data to draw conclusions about the actual ageing of the part and to calculate the best time to replace it. There are also already solutions for connection systems, but they are not particularly convincing. They either require special cables with a sacrificial wire or two boxes that are docked at the beginning and end of the line. "We wanted to offer a solution that reports before a line fails and without these disadvantages," says Guido Ege, Head of Product Development and Management at Lapp. "We want to make factories smarter, more reliable and more transparent, and practical solutions for predictive maintenance are key to this."

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Ethernet cables particularly suitable
Guido Ege's team started with industrial data communication cables, an important growth area for Lapp. Ethernet cables have a complex structure and exhibit special fault characteristics due to their high-frequency properties, making them particularly suitable for such a prognosis. The gradual ageing process begins with a broken shield, which leads to increased EMC interference. If the strands break, the attenuation increases and the data rate decreases; if the core breaks completely, communication finally fails altogether.

The aim was to calculate the optimum replacement time for a line in advance and thus to plan the time of replacement in such a way that production is disrupted as little as possible. The expected service life is calculated from the changes in the actual transmission properties and can vary for the same type of cable. However, Ethernet cables are just the beginning. In the next step, live cables will also be monitored.

No sacrificial cores necessary
One advantage of Lapp's measuring principle is that no changes to the cable structure are necessary, so no additional measuring or sacrificial cores are required in the cable. The prediction is based solely on a protocol and a special algorithm. The installer can therefore connect the cables as usual and does not need to connect any additional sacrificial cores. This also makes it possible to retrofit existing systems.

The Predictive Maintenance Box is as small as a pack of cigarettes and is inserted into the line to be monitored; it is not visible to a connected PLC. © Lapp

The measurement and evaluation takes place in the so-called PMBx (Predictive Maintenance Box). It is inserted into the Ethernet cable and monitors the section of cable between the application and the PMBx. The data packets run from one Ethernet port to the other without any noticeable delay. The PMBx is invisible to a connected PLC and has no influence on data transmission. It is therefore also suitable for existing systems without the need for changes to the PLC software.

Forecast with the Predictive Indicator
The Predictive Indicator, a mix of transmission-relevant parameters, is the result of this calculation. It also allows plausibility checks and minimizes misinterpretations of measured values. For its energy chain cables, Lapp has collected measured values in its in-house test center using the big data approach and then analyzed them using mathematical algorithms. The resulting parameters are then combined with the customer's data in the PMBx during operation to create a predictive indicator.

Lapp is examining whether machine learning approaches are suitable for increasing the prediction quality of the algorithm. The more data there is, the more accurate the prediction becomes. In future, the remaining service life will be calculated depending on the movement profile of the cable. This will make it easier to plan the right replacement time. The maintenance technician can then be scheduled, the replacement part ordered in good time and the replacement carried out at a time when the machine is not running anyway, for example during a changeover or at the same time as other maintenance work.

"We are now looking forward to starting the first concrete implementations with pilot customers," says Susanne Krichel, Business Development IoT at Lapp. The next step will be to develop a suitable business model.

The success is the result of a new innovation process called Innovation for Future. The company wants to use this to realize radical and disruptive innovations for which a classic stage-gate process, for example, is unsuitable. Guido Ege is optimistic that Lapp will undergo profound change with Innovation for Future. "Innovation for Future creates the scope for us to develop further from a provider of physical products to a provider of system solutions." as

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