http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112881827-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f3318f988320c9c471d0df87c3f70b19 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2321 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2431 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R31-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R31-00 |
| filingDate | 2021-01-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8e5c0ec904ca1266194bce289cf04adc http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_75955646cd9a5378da76b33305f7f76b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_641e78cb1f4d1a8f6e14cb9a38350c81 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7deee244bed9cf718f0075090f2bb284 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_41c20fcdaf4c05081f20950cb8a79682 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f5aacfc01aca46b28c03e88c2128682a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4dd15bf1b32d1b7ffa3405e205064156 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b56e9613e9c27f9ef8d6f32035c710e9 |
| publicationDate | 2021-06-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112881827-A |
| titleOfInvention | A fault diagnosis method for oil-immersed transformers based on improved grey relational analysis |
| abstract | The invention discloses a fault diagnosis method for an oil-immersed transformer, comprising the following steps: S1, collecting and sorting out multi-type fault samples of the oil-immersed transformer, and constructing a feature set FS1 and a fault sample set D1; S2, adopting two feature selection methods Calculate the feature weight of feature set FS1, and establish low-dimensional feature subsets FS21 and FS22, and then establish low-dimensional fault sample sets D21 and D22; S3. Use fuzzy clustering algorithm to solve the cluster centers C1 and D22 of fault sample sets D21 and D22. C2, and the obtained cluster centers C1 and C2 are used as two sets of reference sequences in the improved grey relational analysis; the corresponding feature weights of low-dimensional features FS21 and FS22 are normalized, and calculated based on Mahalanobis distance and dynamic identification coefficient Corresponding to the correlation value, after calculating the average value, select the maximum correlation value corresponding to the fault type as the diagnostic result of the sample to be tested. The oil-immersed transformer fault diagnosis method established by the invention has the advantages of simple structure, high calculation efficiency, good diagnosis performance and the like. |
| priorityDate | 2021-01-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 33.