It pays off to be prepared – find out about all exhibiting companies and the entire product range that will be presented at the SPS this year. This will help you to get in touch with the right business partners.
Here you can find the exhibitors at the SPS 2025. This online search gives you an overview of the participating companies and will be updated regularly.
Use the various filter functions to search for specific product groups, halls, contact information and much more. The filters can also be combined with each other in any way, so that you can adapt the search to your individual criteria.
Exhibitor search SPS 2025
Predictive Maintenance Toolbox
Description
Predictive Maintenance Toolbox™ lets you manage sensor data, design condition indicators, and estimate the remaining useful life (RUL) of a machine.
The toolbox provides functions and an interactive app for exploring, extracting, and ranking features using data-based and model-based techniques, including statistical, spectral, and time-series analysis. You can monitor the health of batteries, motors, gearboxes, and other machines by extracting features from sensor data. To estimate a machine's time to failure, you can use survival, similarity, and trend-based models to predict the RUL.
You can organize and analyze sensor data imported from local files, cloud storage, and distributed file systems. You can label simulated failure data generated from Simulink models. The toolbox includes reference examples for motors, gearboxes, batteries, pumps, bearings, and other machines that can be reused for developing custom predictive maintenance and condition monitoring algorithms.
To operationalize your algorithms, you can generate C/C++ code for deployment to the edge or create a production application for deployment to the cloud.
