{"data":{"id":"10.57760/sciencedb.43676","type":"dois","attributes":{"doi":"10.57760/sciencedb.43676","prefix":"10.57760","suffix":"sciencedb.43676","identifiers":[{"identifier":"31253.11.sciencedb.43676","identifierType":"CSTR"}],"alternateIdentifiers":[{"alternateIdentifierType":"CSTR","alternateIdentifier":"31253.11.sciencedb.43676"}],"creators":[{"name":"Gefei Duan","affiliation":["Zhengzhou University of Science and Technology"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"/0000-0003-4581-8634"}]}],"titles":[{"title":"TADF-Net: A Temporal-Spatial Adaptive Dual-Branch Fusion Network for Analog Circuit Fault Diagnosis"},{"lang":"zh","title":"TADF-Net: A Temporal-Spatial Adaptive Dual-Branch Fusion Network for Analog Circuit Fault Diagnosis"}],"publisher":"Science Data Bank","container":{},"publicationYear":2026,"subjects":[{"subject":"Electronic, communication and automatic control technology","subjectScheme":"GB/T 13745-2009","classificationCode":"510"},{"subject":"Computer science and technology","subjectScheme":"GB/T 13745-2009","classificationCode":"520"},{"subject":"Electrical engineering","subjectScheme":"GB/T 13745-2009","classificationCode":"47040"},{"subject":"Systems science","subjectScheme":"GB/T 13745-2009","classificationCode":"12020"},{"subject":"Logic","subjectScheme":"GB/T 13745-2009","classificationCode":"72040"},{"subject":"Simulation science and technology","subjectScheme":"GB/T 13745-2009","classificationCode":"41315"},{"subject":"Applied mechanics","subjectScheme":"GB/T 13745-2009","classificationCode":"13050"},{"subject":"Analog circuit fault diagnosis"},{"subject":"Deep learning"},{"subject":"Multi-modal feature fusion"},{"subject":"Adaptive weighted fusion"},{"subject":"Deep residual shrinkage network"},{"subject":"Simulation data"},{"subject":"PSpice"}],"contributors":[],"dates":[{"date":"2026-07-21","dateType":"Issued"},{"date":"2026-07-20","dateType":"Created"},{"date":"2026-07-20","dateType":"Updated"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["25749862 bytes","2 files"],"formats":[],"version":"V1","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset contains the simulation data supporting the experimental results of the paper entitled \"TADF-Net: A Temporal-Spatial Adaptive Dual-Branch Fusion Network for Analog Circuit Fault Diagnosis\". The dataset consists of 13 CSV files (F0 to F12), corresponding to one normal state (NF) and 12 soft fault modes (C1↓, C1↑, C2↓, C2↑, R1↓, R1↑, R2↓, R2↑, R3↓, R3↑, R4↓, R4↑). Each file contains 300 samples, and each sample is a voltage temporal signal with 1240 sampling points. The data were collected using PSpice simulation software on a four-op-amp biquad high-pass filter circuit with a single pulse excitation signal of 5 V amplitude and 10 μs period. This dataset can be used for training and evaluating analog circuit soft fault diagnosis algorithms.","descriptionType":"Abstract"},{"lang":"zh","description":"This dataset contains the simulation data supporting the experimental results of the paper entitled \"TADF-Net: A Temporal-Spatial Adaptive Dual-Branch Fusion Network for Analog Circuit Fault Diagnosis\". The dataset consists of 13 CSV files (F0 to F12), corresponding to one normal state (NF) and 12 soft fault modes (C1↓, C1↑, C2↓, C2↑, R1↓, R1↑, R2↓, R2↑, R3↓, R3↑, R4↓, R4↑). Each file contains 300 samples, and each sample is a voltage temporal signal with 1240 sampling points. The data were collected using PSpice simulation software on a four-op-amp biquad high-pass filter circuit with a single pulse excitation signal of 5 V amplitude and 10 μs period. This dataset can be used for training and evaluating analog circuit soft fault diagnosis algorithms.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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