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.

Date of Patent:
Dec. 27, 2016

Filed:

Dec. 22, 2015
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Hyung-il Ahn, San Jose, CA (US);

Matthew Denesuk, Ridgefield, CT (US);

Axel Hochstein, San Jose, CA (US);

Ying Tat Leung, Saratoga, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G07C 5/08 (2006.01); G07C 5/00 (2006.01); G06N 7/00 (2006.01); G06N 99/00 (2010.01); G07C 5/02 (2006.01); G05B 23/00 (2006.01);
U.S. Cl.
CPC ...
G07C 5/08 (2013.01); G05B 23/00 (2013.01); G06N 7/005 (2013.01); G06N 99/005 (2013.01); G07C 5/006 (2013.01); G07C 5/008 (2013.01); G07C 5/02 (2013.01); G07C 5/0808 (2013.01);
Abstract

Methods, systems, and computer program products for generating wear-based indicators are provided herein. A method includes assigning a failure label to each data point associated with a component associated with a failure-caused component replacement within a pre-specified number of runtime hours of the failure-caused component replacement; assigning a non-failure label to each data point associated with a failure-caused component replacement and not within the pre-specified number of runtime hours; assigning a non-failure label to each data point associated with a scheduled component replacement; assigning a non-failure label to each data point associated with an actively running instance of the component as yet to be replaced; estimating a failure probability for the component over a pre-specified future runtime; determining a cumulative hazard function for the component based on the failure probability; and generating a cumulative wear-based indicator for the component by executing a regression function based on the cumulative hazard function.


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