This inventor holds 1 USPTO granted patent. Top assignee: Siemens Energy Global Gmbh & Co. Kg. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovations by Inventor Markus Vöse
Introduction
Markus Vöse is a notable inventor based in Berlin, Germany. He has made significant contributions to the field of engineering, particularly in the area of probabilistic estimation methods for component failures. His work is essential for enhancing the reliability of critical components, such as those used in gas turbines.
Latest Patents
Markus Vöse holds a patent for a "Computer-implemented method for the probabilistic estimation of a probability of failure of a component, a data processing system, a computer program product and a computer-readable storage medium." This innovative method focuses on the probabilistic quantification of failure probabilities for components subjected to cyclic stress. The approach involves dividing the component into one or more domains and determining probability density functions for both crack initiation and subsequent crack propagation. This method can also utilize numerical techniques, including domain-based Monte-Carlo schemes, to assess failure probabilities.
Career Highlights
Markus Vöse is currently employed at Siemens Energy Global GmbH & Co. KG, where he applies his expertise in engineering and innovation. His work at Siemens Energy is pivotal in developing advanced technologies that improve the performance and safety of energy systems.
Collaborations
Throughout his career, Markus has collaborated with esteemed colleagues such as Francesco Radaelli and Christian Amann. These collaborations have fostered a productive environment for innovation and have contributed to the advancement of engineering solutions.
Conclusion
Markus Vöse's contributions to the field of engineering through his innovative patent and work at Siemens Energy highlight his role as a key inventor in the industry. His methods for estimating component failure probabilities are crucial for enhancing the reliability of critical systems.
