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. 14, 2025

Filed:

Feb. 13, 2025
Applicant:

Hangzhou Dianzi University, Hangzhou, CN;

Inventors:

Qiang Ding, Hangzhou, CN;

Qixing Zeng, Hangzhou, CN;

Chong Shi, Hangzhou, CN;

Shuang Liu, Hangzhou, CN;

Dechuan Chen, Hangzhou, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F24F 11/38 (2018.01); F24F 11/46 (2018.01); F24F 11/64 (2018.01); G06N 3/0464 (2023.01); G06N 3/082 (2023.01);
U.S. Cl.
CPC ...
F24F 11/38 (2018.01); F24F 11/46 (2018.01); F24F 11/64 (2018.01); G06N 3/0464 (2023.01); G06N 3/082 (2013.01);
Abstract

A fault detection method for refrigeration units based on an improved deep learning model is provided, including the following steps: S: obtaining operating parameters of a refrigeration unit in a normal operating state and in states with different fault types as data sets; S: detecting local outliers in the data set by using a local outlier factor algorithm and removing the local outliers, and then expanding the data set by using adaptive synthetic sampling; S: normalizing the data set; S: constructing a fault detection model; and S: inputting the parameters of the tested refrigeration unit into the fault detection model, and judging whether the tested refrigeration unit has a fault and the type of the fault.


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