Fall 2023 Cycle

High-frequency Edge Data Acquisition for Machine Learning with SKF

Machine data collection
Data processing
Data integration
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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 in gathering data from machine tools for machine learning purposes, specifically 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 together 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. Having a more comprehensive and detailed dataset will lead to improved accuracy and efficiency in the machine learning models applied to these systems.

Process Control room with engineer and supervisor observing screens
Analyzing data on a computer screen

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. Interesting 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 the 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 that can cater to a wide range of 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 also 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 in the industry.

Focus Areas

Examples of solutions we’re interested in

Edge Computing Systems for High-Frequency Data Processing

Innovative edge computing solutions that can efficiently handle data at high frequencies, providing 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 can seamlessly manage and prepare data from diverse sources, making it suitable for analysis by machine learning algorithms are of high interest. 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.

Submit your solution

Take your first step in signing your new partnership. Get in touch by October 8th!

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