Jonas Deichmann

Title: Innovations by Jonas Deichmann

Introduction

Jonas Deichmann is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of machine health monitoring and classification. With a total of 2 patents, his work focuses on enhancing the reliability and efficiency of rotating machines.

Latest Patents

One of his latest patents is titled "Automated health state classifier for rotating machines based on expert knowledge." This invention relates to a computer-implemented method, a data processing system, and a computer program product designed to indicate machine failures. The system transforms input signals based on physical quantities of machine parts into features, allowing a neural network to predict the class and severity of machine failures.

Another significant patent is "Determining states of an apparatus using support vector machines." This invention provides a system and method for determining the state of a device using a trained support-vector machine. It divides the operating parameter space into classification volumes, which indicate normal and fault states of the device. This allows for accurate determination of the device's current state based on its operating parameters.

Career Highlights

Jonas Deichmann is currently employed at Siemens Aktiengesellschaft, where he applies his expertise in machine learning and data analysis. His work at Siemens has allowed him to develop innovative solutions that improve machine performance and reliability.

Collaborations

Throughout his career, Jonas has collaborated with talented individuals such as Tobias Becker and Eugen Graz. These collaborations have contributed to the advancement of his projects and the successful development of his patents.

Conclusion

Jonas Deichmann is a prominent inventor whose work in machine health monitoring has led to valuable innovations. His patents reflect a commitment to improving technology in the field of rotating machines.