Invention Grant
- Patent Title: Method for diagnosing analog circuit fault based on cross wavelet features
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Application No.: US16762926Application Date: 2017-12-07
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Publication No.: US11409933B2Publication Date: 2022-08-09
- Inventor: Yigang He , Wei He , Zhigang Li , Lei Zuo , Bing Li , Liulu He
- Applicant: HEFEI UNIVERSITY OF TECHNOLOGY
- Applicant Address: CN Anhui
- Assignee: HEFEI UNIVERSITY OF TECHNOLOGY
- Current Assignee: HEFEI UNIVERSITY OF TECHNOLOGY
- Current Assignee Address: CN Anhui
- Priority: CN201711097153.2 20171109
- International Application: PCT/CN2017/115011 WO 20171207
- International Announcement: WO2019/090879 WO 20190516
- Main IPC: G06F30/367
- IPC: G06F30/367 ; G01R31/316

Abstract:
A method for diagnosing analog circuit fault based on cross wavelet features includes steps of: inputting an excitation signal to an analog circuit under test, and collecting time domain response output signals to form an original data sample set; dividing the original data sample set into a training sample set and a test sample set; performing cross wavelet decomposition on both sets; applying bidirectional two-dimensional linear discriminant analysis to process the wavelet cross spectra of the training sample set and the test sample set, and extracting fault feature vectors of the training sample set and the test sample set; submitting the fault feature vectors of the training sample set to a support vector machine for training an SVM classifier, constructing a support vector machine fault diagnosis model; and inputting the fault feature vectors of the test sample set into the model to perform fault classification.
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