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:
Feb. 22, 2022

Filed:

Apr. 03, 2020
Applicants:

Hyundai Motor Company, Seoul, KR;

Kia Motors Corporation, Seoul, KR;

Kookmin University Industry Academy Cooperation Foundation, Seoul, KR;

Inventors:

Jae-Min Jin, Seoul, KR;

In-Soo Jung, Goyang-si, KR;

Sung-Hwan Shin, Seoul, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01M 15/12 (2006.01); H04R 1/08 (2006.01); G01H 11/06 (2006.01); F02D 41/22 (2006.01); F02D 41/28 (2006.01);
U.S. Cl.
CPC ...
G01M 15/12 (2013.01); F02D 41/22 (2013.01); G01H 11/06 (2013.01); H04R 1/08 (2013.01); F02D 2041/288 (2013.01); F02D 2200/025 (2013.01);
Abstract

A mechanical diagnosis method for combustion abnormality using engine noise includes: calculating an Energy K and a Loudness standard deviation index (N) with Kurtosis analysis by a diagnosis controllerfrom noise data measured together with a signal component by rotation excitation of an engine; calculating a plurality of order frequency peak order component values by a Modulation Frequency Transform; and distinguishing a cylinder where abnormal combustion occurs from a cylinder where normal combustion occurs by applying a predetermined threshold to these calculated values, thereby classifying, by Modulation Frequency analysis, problem samples of the rotation excitation and combustion excitation influence of the engine in which the abnormality state determination of the engine has been difficult only with energy distribution while overcoming the limitation of Kurtosis analysis.


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