http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113361209-B
Outgoing Links
Predicate | Object |
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classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-27 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-086 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-27 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
filingDate | 2021-07-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-09-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-09-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-113361209-B |
titleOfInvention | A Quantitative Analysis Method for Magnetic Anomaly of Superalloy Surface Defects |
abstract | The invention discloses a method for quantitative analysis of magnetic anomalies on the surface of superalloy surface defects. In the natural geomagnetic field environment, a weak magnetic detection instrument is used to scan the surface or near-surface of the superalloy, and the change of the magnetic induction intensity in the direction perpendicular to the surface of the test piece is collected. And carry out data processing, take the eigenvalue of the defect magnetic anomaly signal as the input value, and the length, width and depth parameter values of the corresponding defect as the output value to train the support vector machine model, establish the mapping relationship with the defect parameters, and use the K-fold cross-validation method. And genetic algorithm to optimize the parameters of support vector machine kernel function, use the optimized parameters to establish a defect prediction model, improve the accuracy of defect inversion, and achieve quantitative analysis of superalloy surface defects without additional excitation sources. |
priorityDate | 2021-07-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419583196 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID104727 |
Total number of triples: 17.