Patents by Inventor Peter Mas

Peter Mas has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11187619
    Abstract: Method and apparatus for detecting vibrational and/or acoustic transfers in a mechanical system A method and apparatus for detecting vibro-acoustic transfers in a mechanical system are provided. The method comprises: while operating the mechanical system, acquiring, at each of multiple input points, an input signal indicative of a mechanical load acting on the input point, and acquiring, at a response point, a response signal indicative of a mechanical response; training a neural network device using the input signals acquired at the input points and using the response signal acquired at the response point; and, for each of the input points: providing only the input signal acquired at the respective input point to the trained neural network device and obtaining, from the neural network device, a contribution signal indicative of a predicted contribution of the respective input signal to the response signal.
    Type: Grant
    Filed: May 30, 2018
    Date of Patent: November 30, 2021
    Assignee: SIEMENS INDUSTRY SOFTWARE NV
    Inventors: Fabio Marques dos Santos, Peter Mas
  • Publication number: 20210208026
    Abstract: Method and apparatus for detecting vibrational and/or acoustic transfers in a mechanical system A method and apparatus for detecting vibro-acoustic transfers in a mechanical system are provided. The method comprises: while operating the mechanical system, acquiring, at each of multiple input points, an input signal indicative of a mechanical load acting on the input point, and acquiring, at a response point, a response signal indicative of a mechanical response; training a neural network device using the input signals acquired at the input points and using the response signal acquired at the response point; and, for each of the input points: providing only the input signal acquired at the respective input point to the trained neural network device and obtaining, from the neural network device, a contribution signal indicative of a predicted contribution of the respective input signal to the response signal.
    Type: Application
    Filed: May 30, 2018
    Publication date: July 8, 2021
    Inventors: Fabio Marques dos Santos, Peter Mas
  • Patent number: 7542887
    Abstract: Methods for performing a dynamic analysis of complex systems are described. The dynamic analysis of complex systems is performed by sub-structuring of the system into a plurality of sub-structures. The sub-structures and the interfaces between the sub-structures are modelled using a generalized eigenvector analysis of a discretized model of a full system or a subassembly thereof comprising at least two sub-structures. The sub-structures then are combined at the interfaces into a combined system. The combined system then is solved. Optionally, selected sub-structures may be reduced. Performing such a dynamic analysis allows studying characteristics such as e.g. vibration and/or acoustical effects in a computational efficient way. Such methods can be applied for optimizing designs of such complex systems.
    Type: Grant
    Filed: April 14, 2006
    Date of Patent: June 2, 2009
    Assignee: LMS International NV
    Inventors: Marc Brughmans, Peter Mas, Rabah Hadjit, Eike Brechlin, Stijn Donders
  • Publication number: 20060259283
    Abstract: Methods for performing a dynamic analysis of complex systems are described. The dynamic analysis of complex systems is performed by sub-structuring of the system into a plurality of sub-structures. The sub-structures and the interfaces between the sub-structures are modelled using a generalised eigenvector analysis of a discretised model of a full system or a subassembly thereof comprising at least two sub-structures. The sub-structures then are combined at the interfaces into a combined system. The combined system then is solved. Optionally, selected sub-structures may be reduced. Performing such a dynamic analysis allows studying characteristics such as e.g. vibration and/or acoustical effects in a computational efficient way. Such methods can be applied for optimising designs of such complex systems.
    Type: Application
    Filed: April 14, 2006
    Publication date: November 16, 2006
    Inventors: Marc Brughmans, Peter Mas, Rabah Hadjit, Eike Brechlin, Stijn Donders