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:
Aug. 17, 2021

Filed:

Mar. 23, 2020
Applicant:

Machinesense, Llc, Baltimore, MD (US);

Inventors:

Biplab Pal, Ellicott City, MD (US);

Amit Purohit, Thane West, IN;

Assignee:

MachineSense, LLC, Baltimore, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01D 7/00 (2006.01); G16Y 40/40 (2020.01); B23Q 17/09 (2006.01); B65G 53/66 (2006.01); G05B 19/042 (2006.01); G05B 19/418 (2006.01); G06F 11/07 (2006.01);
U.S. Cl.
CPC ...
G01D 7/005 (2013.01); B23Q 17/0971 (2013.01); B65G 53/66 (2013.01); G05B 19/0428 (2013.01); G05B 19/4184 (2013.01); G06F 11/0709 (2013.01); G16Y 40/40 (2020.01);
Abstract

A method and system of a predictive maintenance IoT system comprises receiving a plurality of sensor data over a communications network and determining one or more clusters from the sensor data based on a pre-determined rule set. Further, the sensor data is classified through a machine learning engine and the sensor data is further base-lined through a combination of database architecture, data training architecture, and a base-lining algorithm. Intensity or degree of fault state is mapped to a fuel gauge to be depicted on a user interface and a predictive maintenance state is predicted through a regression model and appropriate alarm is raised for user action.


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