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:
Oct. 27, 2020

Filed:

Nov. 05, 2018
Applicant:

Tula Technology, Inc., San Jose, CA (US);

Inventors:

Shikui Kevin Chen, San Jose, CA (US);

Aditya Mandal, San Jose, CA (US);

Li-Chun Chien, Milpitas, CA (US);

Elliott Ortiz-Soto, San Jose, CA (US);

Assignee:

Tula Technology, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01M 15/11 (2006.01); F02D 35/02 (2006.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); F02D 41/00 (2006.01); F02D 41/14 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G01M 15/11 (2013.01); F02D 35/023 (2013.01); F02D 35/028 (2013.01); F02D 41/0087 (2013.01); F02D 41/1405 (2013.01); F02D 41/1497 (2013.01); G06N 3/0481 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01); F02D 2041/1412 (2013.01); F02D 2200/1012 (2013.01); F02D 2200/1015 (2013.01);
Abstract

Using machine learning for misfire detection in a Dynamic firing level modulation controlled internal combustion engine is described. A neural network is used to calculate expected crank acceleration from various inputs, including the dynamically defined cylinder skip fire sequence. The output of the neural network is then compared to a signal indicative of the measured crank acceleration. Based the comparison, a prediction is made if a misfire has occurred or not. In alternative embodiment, the neural network is expanded to include the measured crank acceleration as an additional input. With the latter embodiment, the neural network is arranged to directly predict misfire events.


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