The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 04, 2012
Filed:
Feb. 17, 2010
Yilu Zhang, Northville, MI (US);
Mutasim A. Salman, Rochester Hills, MI (US);
Kwang-keun Shin, Rochester Hills, MI (US);
Satish Rajagopalan, Knoxville, TN (US);
Mark N. Howell, Rochester Hills, MI (US);
Xidong Tang, Sterling Heights, MI (US);
Hong S. Bae, Farmington Hills, MI (US);
Yilu Zhang, Northville, MI (US);
Mutasim A. Salman, Rochester Hills, MI (US);
Kwang-Keun Shin, Rochester Hills, MI (US);
Satish Rajagopalan, Knoxville, TN (US);
Mark N. Howell, Rochester Hills, MI (US);
Xidong Tang, Sterling Heights, MI (US);
Hong S. Bae, Farmington Hills, MI (US);
GM Global Technology Operations LLC, Detroit, MI (US);
Abstract
A system and method for providing component and sub-system state of health prognosis in a complex system using fault models and component aging models. The method includes determining a current state of health value for a sub-system using fault signature test results and determining current state of health values for a plurality of components in the sub-system using the fault signature test results. The method also determines current state of health values for components in the system that cannot use fault signature test results using a first probability model and the current state of health values for the plurality of components. The method determines predicted future state of health values for the components in the sub-system using component aging models and determines a predicted future state of health value for the sub-system using a second probability model and the future state of health values of the components.