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:
Mar. 24, 2020

Filed:

Apr. 25, 2015
Applicants:

Biplab Pal, Ellicott City, MD (US);

Neeraj Nagi, Churu, IN;

Amit Chakrabarty, Columbia, MD (US);

Inventors:

Biplab Pal, Ellicott City, MD (US);

Neeraj Nagi, Churu, IN;

Amit Chakrabarty, Columbia, MD (US);

Assignee:

MachineSense, LLC, Baltimore, MD (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 20/00 (2019.01); G05B 23/02 (2006.01); H04L 29/08 (2006.01); H04L 12/24 (2006.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G05B 23/0283 (2013.01); G06N 20/00 (2019.01); H04L 67/12 (2013.01); H04L 41/147 (2013.01);
Abstract

A computer implemented method and system for determining reliability of a machine includes receiving one of a machine data from one or more locations through an internet of things (IOT) based machine wearable sensor network. The method further includes storing the data in a distributed computer database communicatively coupled to an enterprise resource planning (ERP) system and extracting, through a computer server, one or more entity information from the data to compare against a pre-defined baseline. Further, mapping, though a big data machine learning engine, the extracted one or more entity information into a multi-classification model. The method includes indicating, through a machine learning engine coupled to a predictive analytics engine, on a user interface a set of analytical predictions for machine maintenance, repair and operation.


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