Experimental results of robot fault diagnosis model (With federated learning).
<p>Experimental results of robot fault diagnosis model (With federated learning).</p>
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2025
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| _version_ | 1851484356455956480 |
|---|---|
| author | Yan Qin (118276) |
| author2 | Ouyang Wang (21772292) |
| author2_role | author |
| author_facet | Yan Qin (118276) Ouyang Wang (21772292) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yan Qin (118276) Ouyang Wang (21772292) |
| dc.date.none.fl_str_mv | 2025-07-23T17:31:38Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0322484.t005 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Experimental_results_of_robot_fault_diagnosis_model_With_federated_learning_/29628794 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Genetics Neuroscience Biotechnology Evolutionary Biology Ecology Cancer Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified potential knowledge shift incorporating group speed gramian angular field experimental results demonstrate robot &# 8217 group behavior consistency local fault datasets local model parameters individual robot training individual robot components based fault self federated learning framework federated learning local data fault models robot systems robot scenarios robot collaboration individual robots individual failures direction consistency shared learning proposed self collaborative self xlink "> trained using topological coupling study develops single robots robots due practical requirements multiple robots generate two frequency plots encoded using dimensional time different robots diagnosis model behavioral coherence |
| dc.title.none.fl_str_mv | Experimental results of robot fault diagnosis model (With federated learning). |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Experimental results of robot fault diagnosis model (With federated learning).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_403d4ccb3b0b8e01a6037b8478f3c110 |
| identifier_str_mv | 10.1371/journal.pone.0322484.t005 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29628794 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Experimental results of robot fault diagnosis model (With federated learning).Yan Qin (118276)Ouyang Wang (21772292)GeneticsNeuroscienceBiotechnologyEvolutionary BiologyEcologyCancerInfectious DiseasesBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedpotential knowledge shiftincorporating group speedgramian angular fieldexperimental results demonstraterobot &# 8217group behavior consistencylocal fault datasetslocal model parametersindividual robot trainingindividual robot componentsbased fault selffederated learning frameworkfederated learninglocal datafault modelsrobot systemsrobot scenariosrobot collaborationindividual robotsindividual failuresdirection consistencyshared learningproposed selfcollaborative selfxlink ">trained usingtopological couplingstudy developssingle robotsrobots duepractical requirementsmultiple robotsgenerate twofrequency plotsencoded usingdimensional timedifferent robotsdiagnosis modelbehavioral coherence<p>Experimental results of robot fault diagnosis model (With federated learning).</p>2025-07-23T17:31:38ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0322484.t005https://figshare.com/articles/dataset/Experimental_results_of_robot_fault_diagnosis_model_With_federated_learning_/29628794CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/296287942025-07-23T17:31:38Z |
| spellingShingle | Experimental results of robot fault diagnosis model (With federated learning). Yan Qin (118276) Genetics Neuroscience Biotechnology Evolutionary Biology Ecology Cancer Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified potential knowledge shift incorporating group speed gramian angular field experimental results demonstrate robot &# 8217 group behavior consistency local fault datasets local model parameters individual robot training individual robot components based fault self federated learning framework federated learning local data fault models robot systems robot scenarios robot collaboration individual robots individual failures direction consistency shared learning proposed self collaborative self xlink "> trained using topological coupling study develops single robots robots due practical requirements multiple robots generate two frequency plots encoded using dimensional time different robots diagnosis model behavioral coherence |
| status_str | publishedVersion |
| title | Experimental results of robot fault diagnosis model (With federated learning). |
| title_full | Experimental results of robot fault diagnosis model (With federated learning). |
| title_fullStr | Experimental results of robot fault diagnosis model (With federated learning). |
| title_full_unstemmed | Experimental results of robot fault diagnosis model (With federated learning). |
| title_short | Experimental results of robot fault diagnosis model (With federated learning). |
| title_sort | Experimental results of robot fault diagnosis model (With federated learning). |
| topic | Genetics Neuroscience Biotechnology Evolutionary Biology Ecology Cancer Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified potential knowledge shift incorporating group speed gramian angular field experimental results demonstrate robot &# 8217 group behavior consistency local fault datasets local model parameters individual robot training individual robot components based fault self federated learning framework federated learning local data fault models robot systems robot scenarios robot collaboration individual robots individual failures direction consistency shared learning proposed self collaborative self xlink "> trained using topological coupling study develops single robots robots due practical requirements multiple robots generate two frequency plots encoded using dimensional time different robots diagnosis model behavioral coherence |