Invention Grant
- Patent Title: Direct current (DC)/DC converter fault diagnosis method and system based on improved sparrow search algorithm
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Application No.: US18060582Application Date: 2022-12-01
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Publication No.: US11853898B1Publication Date: 2023-12-26
- Inventor: Yigang He , Yingying Zhao , Zhikai Xing , Xiaoyu Liu , Xiao Wang
- Applicant: WUHAN UNIVERSITY
- Applicant Address: CN Wuhan
- Assignee: WUHAN UNIVERSITY
- Current Assignee: WUHAN UNIVERSITY
- Current Assignee Address: CN Wuhan
- Agency: True Shepherd LLC
- Agent Andrew C. Cheng
- Priority: CN 2210639081.4 2022.06.07
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/086 ; G01R31/28

Abstract:
A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.
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