| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c8ed020d9d1eed3acfa2285b2f55de30 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/F04B2201-12 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B23-0235
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/F04B9-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H40-67
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H40-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B23-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/F04B9-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20 |
| filingDate |
2019-10-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c07ecc3e166478fe296d4f8a408086eb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0d5cd3090242524528f9f0155f5a6f98
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8af62d68ee7ae2ebff40d58450697fc9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e93205d58af7d18e161d0f1012835b9c |
| publicationDate |
2022-01-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2022012644-A1 |
| titleOfInvention |
Method and system for monitoring a remote system |
| abstract |
This disclosure relates to methods and apparatus for monitoring a remote system. In one arrangement, a plurality of measurement data units are obtained. Each measurement data unit represents a time series of measurements made by a sensor system at the remote system. A first trained machine learning model is used to identify a subset of the measurement data units that have a higher average probability of corresponding to an abnormal state of the remote system than the other measurement data units. Data representing the identified measurement data units is sent over a communications network to a central data processing system. An abnormal state of the remote system is detected by using a second trained machine learning model at the central data processing system to process the data representing the identified measurement data units. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11573549-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115205689-A |
| priorityDate |
2018-12-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |