Intelligent Monitoring and Control Technology of Cutting Chatter
Intelligent monitoring and control technology of cutting chatter is an indispensable part of intelligent machine tools and an important development direction of intelligent machining. It is of great significance to improve machining accuracy and efficiency of parts and increase the operation perform...
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| Veröffentlicht in: | Ji xie gong cheng xue bao 2020-01, Vol.56 (24), p.1 |
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| container_issue | 24 |
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| container_title | Ji xie gong cheng xue bao |
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| creator | Wang, Zhixue Liu, Xianli Li, Maoyue Liang, S Y Wang, Lihui Li, Yuqiang Meng, Boyang |
| description | Intelligent monitoring and control technology of cutting chatter is an indispensable part of intelligent machine tools and an important development direction of intelligent machining. It is of great significance to improve machining accuracy and efficiency of parts and increase the operation performance of enterprises. Based on the main line of sensor selection, feature extraction, chatter recognition and chatter suppression, the research progress of intelligent monitoring and control of chatter in cutting process is systematically reviewed. The selection of chatter signal and the methods of feature extraction in time domain, frequency domain, time-frequency domain and feature adaptive intelligent extraction are analyzed. The application of neural network, support vector machine, hidden Markov model, hybrid model and online intelligent evolution mode in chatter recognition are analyzed. The intelligent control method of chatter based on spindle speed variation are emphatically analyzed. On this basis, the research difficulties are analyzed and the existing problems are summarized in intelligent monitoring and control technology of cutting chatter. Finally, the development trend of intelligent monitoring and control technology of cutting chatter is forecasted. |
| format | Article |
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It is of great significance to improve machining accuracy and efficiency of parts and increase the operation performance of enterprises. Based on the main line of sensor selection, feature extraction, chatter recognition and chatter suppression, the research progress of intelligent monitoring and control of chatter in cutting process is systematically reviewed. The selection of chatter signal and the methods of feature extraction in time domain, frequency domain, time-frequency domain and feature adaptive intelligent extraction are analyzed. The application of neural network, support vector machine, hidden Markov model, hybrid model and online intelligent evolution mode in chatter recognition are analyzed. The intelligent control method of chatter based on spindle speed variation are emphatically analyzed. On this basis, the research difficulties are analyzed and the existing problems are summarized in intelligent monitoring and control technology of cutting chatter. Finally, the development trend of intelligent monitoring and control technology of cutting chatter is forecasted.</description><identifier>ISSN: 0577-6686</identifier><language>chi</language><publisher>Beijing: Chinese Mechanical Engineering Society (CMES)</publisher><subject>Chatter ; Control methods ; Feature extraction ; Feature recognition ; Frequency domain analysis ; Hybrid systems ; Machine tools ; Machining ; Markov chains ; Monitoring ; Neural networks ; Signal processing ; Support vector machines</subject><ispartof>Ji xie gong cheng xue bao, 2020-01, Vol.56 (24), p.1</ispartof><rights>Copyright Chinese Mechanical Engineering Society (CMES) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Wang, Zhixue</creatorcontrib><creatorcontrib>Liu, Xianli</creatorcontrib><creatorcontrib>Li, Maoyue</creatorcontrib><creatorcontrib>Liang, S Y</creatorcontrib><creatorcontrib>Wang, Lihui</creatorcontrib><creatorcontrib>Li, Yuqiang</creatorcontrib><creatorcontrib>Meng, Boyang</creatorcontrib><title>Intelligent Monitoring and Control Technology of Cutting Chatter</title><title>Ji xie gong cheng xue bao</title><description>Intelligent monitoring and control technology of cutting chatter is an indispensable part of intelligent machine tools and an important development direction of intelligent machining. It is of great significance to improve machining accuracy and efficiency of parts and increase the operation performance of enterprises. Based on the main line of sensor selection, feature extraction, chatter recognition and chatter suppression, the research progress of intelligent monitoring and control of chatter in cutting process is systematically reviewed. The selection of chatter signal and the methods of feature extraction in time domain, frequency domain, time-frequency domain and feature adaptive intelligent extraction are analyzed. The application of neural network, support vector machine, hidden Markov model, hybrid model and online intelligent evolution mode in chatter recognition are analyzed. The intelligent control method of chatter based on spindle speed variation are emphatically analyzed. On this basis, the research difficulties are analyzed and the existing problems are summarized in intelligent monitoring and control technology of cutting chatter. Finally, the development trend of intelligent monitoring and control technology of cutting chatter is forecasted.</description><subject>Chatter</subject><subject>Control methods</subject><subject>Feature extraction</subject><subject>Feature recognition</subject><subject>Frequency domain analysis</subject><subject>Hybrid systems</subject><subject>Machine tools</subject><subject>Machining</subject><subject>Markov chains</subject><subject>Monitoring</subject><subject>Neural networks</subject><subject>Signal processing</subject><subject>Support vector machines</subject><issn>0577-6686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqNyrEKwjAQgOEMChbtOwScC23qJY5CUHRw616qpm0k3GlyHXx7FXwAp3_4v5nISjCm0HqrFyJPyV_KqlZGAWwysTshuxD84JDlmdAzRY-D7PAmLSFHCrJx1xEp0PCS1Es7MX-FHTtmF1di3nchufzXpVgf9o09Fo9Iz8klbu80RfysVkEFBkDVqv5PvQGL9zmI</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Wang, Zhixue</creator><creator>Liu, Xianli</creator><creator>Li, Maoyue</creator><creator>Liang, S Y</creator><creator>Wang, Lihui</creator><creator>Li, Yuqiang</creator><creator>Meng, Boyang</creator><general>Chinese Mechanical Engineering Society (CMES)</general><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20200101</creationdate><title>Intelligent Monitoring and Control Technology of Cutting Chatter</title><author>Wang, Zhixue ; Liu, Xianli ; Li, Maoyue ; Liang, S Y ; Wang, Lihui ; Li, Yuqiang ; Meng, Boyang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_25157552323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2020</creationdate><topic>Chatter</topic><topic>Control methods</topic><topic>Feature extraction</topic><topic>Feature recognition</topic><topic>Frequency domain analysis</topic><topic>Hybrid systems</topic><topic>Machine tools</topic><topic>Machining</topic><topic>Markov chains</topic><topic>Monitoring</topic><topic>Neural networks</topic><topic>Signal processing</topic><topic>Support vector machines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Zhixue</creatorcontrib><creatorcontrib>Liu, Xianli</creatorcontrib><creatorcontrib>Li, Maoyue</creatorcontrib><creatorcontrib>Liang, S Y</creatorcontrib><creatorcontrib>Wang, Lihui</creatorcontrib><creatorcontrib>Li, Yuqiang</creatorcontrib><creatorcontrib>Meng, Boyang</creatorcontrib><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Ji xie gong cheng xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Zhixue</au><au>Liu, Xianli</au><au>Li, Maoyue</au><au>Liang, S Y</au><au>Wang, Lihui</au><au>Li, Yuqiang</au><au>Meng, Boyang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intelligent Monitoring and Control Technology of Cutting Chatter</atitle><jtitle>Ji xie gong cheng xue bao</jtitle><date>2020-01-01</date><risdate>2020</risdate><volume>56</volume><issue>24</issue><spage>1</spage><pages>1-</pages><issn>0577-6686</issn><abstract>Intelligent monitoring and control technology of cutting chatter is an indispensable part of intelligent machine tools and an important development direction of intelligent machining. It is of great significance to improve machining accuracy and efficiency of parts and increase the operation performance of enterprises. Based on the main line of sensor selection, feature extraction, chatter recognition and chatter suppression, the research progress of intelligent monitoring and control of chatter in cutting process is systematically reviewed. The selection of chatter signal and the methods of feature extraction in time domain, frequency domain, time-frequency domain and feature adaptive intelligent extraction are analyzed. The application of neural network, support vector machine, hidden Markov model, hybrid model and online intelligent evolution mode in chatter recognition are analyzed. The intelligent control method of chatter based on spindle speed variation are emphatically analyzed. On this basis, the research difficulties are analyzed and the existing problems are summarized in intelligent monitoring and control technology of cutting chatter. Finally, the development trend of intelligent monitoring and control technology of cutting chatter is forecasted.</abstract><cop>Beijing</cop><pub>Chinese Mechanical Engineering Society (CMES)</pub></addata></record> |
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| ispartof | Ji xie gong cheng xue bao, 2020-01, Vol.56 (24), p.1 |
| issn | 0577-6686 |
| language | chi |
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| source | Alma/SFX Local Collection |
| subjects | Chatter Control methods Feature extraction Feature recognition Frequency domain analysis Hybrid systems Machine tools Machining Markov chains Monitoring Neural networks Signal processing Support vector machines |
| title | Intelligent Monitoring and Control Technology of Cutting Chatter |
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