http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108537174-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_653c418e41edbb4e1ce8bc5e53e70cec |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-12 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate | 2018-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b02f1211ae088b810eb25976bb7b1de1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f3373acdc22abb4a8d304fd5dbea8380 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a5e51f08f593ba3e9d60509549dd8766 |
| publicationDate | 2018-09-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108537174-A |
| titleOfInvention | Method and system for online monitoring of operating state of rotating machinery under time-varying working conditions |
| abstract | The invention discloses a method and system for on-line monitoring of the operating state of a rotating machine under time-varying working conditions, comprising: using time series analysis to dynamically divide the real-time state signal of the operating state of the rotating machine to obtain divided real-time period signals; according to the divided real-time period signals , perform real-time data reorganization to obtain reorganized real-time data; use the reorganized real-time data to train the one-class SVM model, and obtain the trained one-class SVM model; use the dynamic period for the status signals of the rotating machinery to be monitored in turn The division step and the data reorganization step are processed to obtain reorganized new data, and the reorganized new data is input to the trained one-class SVM model, and the one-class SVM model outputs a predicted value, and the predicted value includes a normal value and Suspected outliers: judge the suspected outliers to determine whether they are real outliers. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109190287-A |
| priorityDate | 2018-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID4235 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419493476 |
Total number of triples: 19.