<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-EJJQVXT9</identifier><date>2021</date><creator>Li, Chuan</creator><creator>Luo, Xing</creator><creator>Yang, Shuai</creator><relation>documents/doc/E/URN_NBN_SI_doc-EJJQVXT9_001.pdf</relation><relation>documents/doc/E/URN_NBN_SI_doc-EJJQVXT9_001.txt</relation><format format_type="issue">10</format><format format_type="volume">67</format><format format_type="type">article</format><format format_type="extent">str. 489-500</format><identifier identifier_type="ISSN">0039-2480</identifier><identifier identifier_type="DOI">10.5545/sv-jme.2021.7284</identifier><identifier identifier_type="COBISSID_HOST">82633475</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-EJJQVXT9</identifier><language>eng</language><publisher>Zveza strojnih inženirjev in tehnikov Slovenije etc.</publisher><source>Strojniški vestnik</source><rights>InC</rights><subject language_type_id="eng">convolutional neural networks</subject><subject language_type_id="slv">diagnosticiranje napak</subject><subject language_type_id="eng">fault diagnosis</subject><subject language_type_id="slv">konvolucijske nevronske mreže</subject><subject language_type_id="slv">reduktorji RV</subject><subject language_type_id="eng">RV reducers</subject><title>Fault diagnosis of rotation vector reducer for industrial robot based on a convolutional neural network</title></Record>