Opportunity

SKF is a world leader in rolling bearings and related technologies, constantly looking to effectivize and digitalize manufacturing processes. As part of this goal, SKF is now looking for innovative solutions to support gathering data from machine tools for machine learning purposes, explicitly focusing on the need for a high sampling rate to obtain a sufficient depth of data.

Opportunity overview

Currently, a significant amount of collected machine data does not meet the requirements to be suitable for machine learning applications, thus hindering accuracy and efficiency gains. The key to overcoming this challenge lies in developing a solution for data acquisition that can efficiently achieve high sampling rates from, e.g., grinding applications, potentially leveraging edge computing. While magnetic bearings have already been optimized for this purpose, there is a need for a lighter version of the technology to cater to non-magnetic bearings.

The envisioned solution should encompass various components that address the high sampling rate requirement. The goal is to create a product that can effectively gather machine tool data with the necessary granularity for training machine learning algorithms. A more comprehensive and detailed dataset will improve the accuracy and efficiency of the machine learning models applied to these systems.

Summary of requested solution

The sought-after solution should be a comprehensive package that tackles the challenge of achieving high sampling rates for machine tool data, e.g., vibration. Attractive solutions include edge computing systems capable of handling data at high frequencies and integration processes that can efficiently pack and manage data from multiple sources, allowing machine learning algorithms to process and analyze the data effectively. The solution should be scalable and adaptable to different machine tool setups and industrial environments, providing a versatile product catering to various applications.

Your opportunity with SKF

SKF is the world’s largest bearing manufacturer, with 17,000 distributors in 130 countries. SKF is constantly looking for innovative solution providers who can help make their operations more efficient and cutting-edge. As sustainability becomes increasingly critical in industrial manufacturing, this partnership with SKF presents an opportunity to contribute to a greener future while expanding your company’s market presence and industry knowledge. Collaborating with a market leader like SKF in enhancing their internal manufacturing processes enables your solution to have a large-scale impact on the industry.

Examples we're looking for

Edge Computing Systems for High-Frequency Data Processing

Innovative edge computing solutions that can efficiently handle data at high frequencies and provide low-latency data processing capabilities for machine tool data collection can be the key to solving the challenges faced. The solution should be scalable, flexible, and versatile, with a wide-ranging applicability to various environments. The solution can also be a mix of hardware and software.

Data Packaging and Integration Solutions

Efficient data packaging and integration solutions that seamlessly manage and prepare data from diverse sources, making it suitable for analysis by machine learning algorithms, are highly interesting. The answer should be scalable, flexible, and versatile, with a wide-ranging applicability to various environments. The solution can also be a mix of hardware and software.

SKF is a world-leading provider of innovative solutions that help industries become more competitive and sustainable. By making products lighter, more efficient, longer lasting, and repairable, they help their customers improve rotating equipment performance and reduce environmental impact. SKF's offering around the rotating shaft includes bearings, seals, lubrication management, condition monitoring, and services. Founded in 1907, SKF is represented in approximately 129 countries and has around 17,000 distributor locations worldwide.
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