| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4c0ed78c4d5c4951a22374d61ea1f178 |
| 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 |
| filingDate |
2016-07-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_550d58df935256867d17999b81597889
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_92dab18f800785e56ad818be9a08c178
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_daa44d7dc0c966d217e90531ef1f80bb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ab683176939238bbebaaf6a5fe792aef |
| publicationDate |
2017-02-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-106407998-A |
| titleOfInvention |
A probabilistic time-varying fault prediction method for seawater hydraulic pumps |
| abstract |
A probabilistic time-varying seawater hydraulic pump fault prediction method belongs to the research field of deep sea seawater plunger pump fault prediction. This method selects the working volumetric efficiency of the deep-sea seawater plunger pump as the fault prediction characteristic quantity, collects the seawater value actually sent by the plunger pump to form the original data sequence of the plunger pump fault prediction; extracts the original data through Laplace wavelet extraction and then performs Hilbert envelope demodulation sequence to obtain a new data sequence; and then reconstruct and reorganize according to the multi-scale support vector machine data processing to obtain more accurate initial data. Introduce the processed data into the life prediction method based on time-varying state transition, train the historical data of the whole life of the system and each health state model, compare the current monitoring data with each health state model after multi-scale support vector machine data processing, and identify Find out the current system health state and calculate the state transition coefficient, and finally calculate the remaining duration and remaining life of the system in the current state. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023115486-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109977563-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108510120-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109353376-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108510120-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110188961-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109977563-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110701137-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111859783-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112557806-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111859783-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108108700-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108108700-A |
| priorityDate |
2016-07-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |