| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4398f4560063fd4bd7e0e46b8d77addd |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2291-0289
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01M13-028
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01M13-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01M15-11 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02K11-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N29-4481
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01M15-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N29-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N29-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N29-4418
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N29-4463
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N29-4472 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N29-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02K11-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N29-44
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N29-46 |
| filingDate |
2020-12-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4d7b8b01d9ffa98c88a11def4f33a84b |
| publicationDate |
2022-06-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2022196607-A1 |
| titleOfInvention |
Motor noise detecting device and detecting method using ae sensor |
| abstract |
A motor noise detecting device according to an embodiment of the present disclosure includes a signal sensing part for sensing an acoustic signal generated from an object to be tested, a data acquisition part for receiving the acoustic signal sensed by the signal sensing part and converting it into an acoustic digital signal, and a data analysis part for receiving and analyzing the acoustic digital signal to perform a detection on whether the object to be tested is abnormal. In addition, the signal sensing part includes an AE (Acoustic Emission) sensor for sensing an elastic wave included in the acoustic signal, and the data analysis part generates result data of analyzing the acoustic digital signal, analyzes the generated result data through a pre-learned model, and detects whether the object to be tested is abnormal. |
| priorityDate |
2020-12-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |