Condition-Based Maintenance

Melanie Steinbeck,

Predictive Maintenance in the Powertrain: Stöber Is Gradually Expanding Its Approach

Stöber is working to gradually expand predictive maintenance in the powertrain using a three-stage development plan. The goal is to transition from pure condition monitoring to condition-based maintenance. This is based on process and machine data from which maintenance recommendations can be derived. According to the company, the approach ranges from analytical computational models to future AI-supported methods. The solution is designed to function as an integrated system without external sensors or additional accessories and to be compatible with various control systems.

Predictive Maintenance: Drive controllers, gearmotors, cables. © Stöber Antriebstechnik GmbH + Co. KG

From Condition Monitoring to Condition-Based Maintenance

“How can we use predictive maintenance to make the transition from pure condition monitoring to true condition-based maintenance for the powertrain?” asked Tim Lang, head of the Systems and Test department at Stöber, and his team.

The drive controller software, including a 3D load matrix © Stöber Antriebstechnik GmbH + Co. KG

The starting point is a set of questions that arise in many applications: “How likely is it that the gearmotor will fail soon?” or “When is actually the ideal time to service or replace it?” To answer these questions, Stöber is following a development plan with three phases. The second stage is currently being implemented.

The first phase of development is based on an analytical model

The first phase of the upgrade includes a solution for monitoring the gearmotor. The lifetime performance is calculated using an analytical model and displayed in the drive controller software as a lifetime performance indicator. This value ranges from 0 to 100 percent.

Advertisement

If the indicator reaches a threshold value of 90 percent, the software issues a recommendation to replace the gearmotor. At the same time, this information is made available to the control system as a readable parameter. According to the company, the solution requires no external sensors or additional wiring.

The second phase of development adds measurement data to the model

"In the second stage, the computational model is supplemented with active measurements," Lang explains.

To this end, the company is integrating an accelerometer into the system consisting of the transmission, motor, cables, and drive controller. No additional power or voltage sources are required for this. This approach is intended to enable the monitoring of bearing seats, gear teeth, and other powertrain components, among other things.

"Through frequency analysis, we can use spectral data to predict impending damage," Lang said. "We are currently still in the prototype phase."

Stöber is collaborating with Dr. Johannes Heidenhain GmbH on the development of a gearmotor with an integrated acceleration sensor.

Load matrices form the basis for further analyses

At the same time, according to Stöber, the company has further developed the analytical model and expanded the database to include more than 80,000 combinations of transmissions and engines.

“Among other things, we have improved the analytical model and expanded the database to include more than 80,000 combinations of transmissions and engines,” said Lang.

The LastMatrixAnalyzer is also scheduled to become available in the coming months. The software allows users to compare load matrices, create standardized reports, and generate custom analyses. In addition, Stöber plans to provide function blocks and sample programs that will enable load matrices, in particular, to be read via EtherCAT or PROFINET.

According to the company, the load matrices serve as a basis for simulating real-world load conditions. Among other things, they are intended to provide insights into the effects of design and installation, as well as long-term trends.

Visualize and Document Load Cases

Tim Lang explains how the software works: “For each analysis of the load matrices, users assign a project name. This allows individual matrices to be uniquely named, described, and tagged with all relevant information for the analysis report.” The LoadMatrixAnalyzer itself offers several key functions. These include the visualization of load cases. Here, torque and speed at the gearbox output are visualized over time in a 3D graph—making load conditions visible at a glance.”

According to the company, the standard limits for the motor, gearbox, and drive controller can also be displayed individually or together. This makes it possible to determine whether load ranges are within the permissible values or whether deviations are occurring.

The results of an analysis can be documented directly in the software. There, for example, you can note whether a moment load is classified as non-critical or whether there are risks for individual components.

Comparison of Several Load Matrices

The LoadMatrixAnalyzer also allows you to compare up to four load matrices.

“This tells us, for example, whether a transmission has already been run in or whether there are signs of stress or defects,” explains Stöber expert Lang.

The analysis results can then be exported as a standardized PDF report.

AI as the Next Stage of Development

For Tim Lang, the development of the software goes beyond a mere analysis application.

The analysis tool is used to evaluate and document predictive maintenance data. © Stöber Antriebstechnik GmbH + Co. KG

"To me, this tool is more than just a utility—it's a standalone software program. It can be updated, and we're constantly working to improve it."

As the next step in development, Stöber announced the expansion of predictive maintenance solutions to include AI-based methods. The goal is a powertrain that can assess its own condition and provide relevant field data in real time.

  • Xing Icon
  • LinkedIn Icon
Advertisement
Advertisement

You might also be interested in

Advertisement
Advertisement
Advertisement
Advertisement
Advertisement
Advertisement
Advertisement
Subscribe to our newsletter
Advertisement
Back to home