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Conference Paper: Design optimization of an inertial sensor by genetic algorithms
| Title | Design optimization of an inertial sensor by genetic algorithms |
|---|---|
| Authors | |
| Issue Date | 1996 |
| Citation | Proceedings Of The Ieee Conference On Evolutionary Computation, 1996, p. 500-505 How to Cite? |
| Abstract | This paper describes the optimization of the design of a sensor which performs parts inspection by measuring the inertial properties of a part. The sensor comprises a platform supported on a column which is fixed to a rigid base. The part under inspection is attached to the platform to form a single body. By measuring the static deflections of the column and the natural frequencies of vibration of the system, it is possible to determine the mass and the spatial location of the centre of mass of the part. The information obtained is used to distinguish defective parts from good ones. The application of genetic algorithms to determine the optimal values of design parameters is presented in this paper. |
| Persistent Identifier | http://hdl.handle.net/10722/158908 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tam, SM | en_US |
| dc.contributor.author | Cheung, KC | en_US |
| dc.date.accessioned | 2012-08-08T09:04:31Z | - |
| dc.date.available | 2012-08-08T09:04:31Z | - |
| dc.date.issued | 1996 | en_US |
| dc.identifier.citation | Proceedings Of The Ieee Conference On Evolutionary Computation, 1996, p. 500-505 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10722/158908 | - |
| dc.description.abstract | This paper describes the optimization of the design of a sensor which performs parts inspection by measuring the inertial properties of a part. The sensor comprises a platform supported on a column which is fixed to a rigid base. The part under inspection is attached to the platform to form a single body. By measuring the static deflections of the column and the natural frequencies of vibration of the system, it is possible to determine the mass and the spatial location of the centre of mass of the part. The information obtained is used to distinguish defective parts from good ones. The application of genetic algorithms to determine the optimal values of design parameters is presented in this paper. | en_US |
| dc.language | eng | en_US |
| dc.relation.ispartof | Proceedings of the IEEE Conference on Evolutionary Computation | en_US |
| dc.title | Design optimization of an inertial sensor by genetic algorithms | en_US |
| dc.type | Conference_Paper | en_US |
| dc.identifier.email | Cheung, KC:kccheung@hkucc.hku.hk | en_US |
| dc.identifier.authority | Cheung, KC=rp01322 | en_US |
| dc.description.nature | link_to_subscribed_fulltext | en_US |
| dc.identifier.scopus | eid_2-s2.0-0029705950 | en_US |
| dc.identifier.spage | 500 | en_US |
| dc.identifier.epage | 505 | en_US |
| dc.identifier.scopusauthorid | Tam, SM=7202037309 | en_US |
| dc.identifier.scopusauthorid | Cheung, KC=7402406698 | en_US |