| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_cc4e13141d402ceb885f368dfa042348 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B23-0254 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B23-02 |
| filingDate |
2016-01-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6c8aefa4143ccc5f011674f515a087e1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_01b0122f7d6221cbd0382ecacc42da57
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0959259ffc96290e58cadc1e508713c7 |
| publicationDate |
2016-04-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-105487526-A |
| titleOfInvention |
A Fault Diagnosis Method for Fast RVM Sewage Treatment |
| abstract |
The present invention disclosed by the present invention discloses a Fast? The RVM sewage treatment fault diagnosis method includes the steps in the following order: 1) Eliminate samples with incomplete attributes in the samples to be identified in the sewage data, and normalize them due to the different dimensions of the attributes of each sample. to [0,1] interval; 2) cluster-based fast correlation vector machine majority class data compression module; 3) virtual minority class upsampling minority class data expansion module; 4) "one-to-one" fast correlation vector 5) fast correlation vector machine sewage fault diagnosis modeling. The present invention compresses the majority class data and expands the minority class data through a fast correlation vector machine based on clustering and a virtual minority class up-sampling method, thereby reducing the unbalance of sewage data and adopting Fast? RVM establishes a multi-classification model for the sewage biochemical treatment process, which effectively improves the fault diagnosis accuracy of the sewage biochemical treatment system. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108846512-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109558893-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109558893-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111276191-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106768071-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109167753-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106681305-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019169704-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107729838-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113009077-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108846512-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110009030-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108549310-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110009030-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116699096-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108229676-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110995461-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110995461-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108229676-B |
| priorityDate |
2016-01-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |