### Abstract

An approximate solution is given for determining the ranges of allowed frequency of a mechanical model of a tool machine. The proposed method is based on the simulation of a measurement process of a real structure. The large computing power of the Cellular Neural Networks is used here to compute the transient response of a mechanical vibrating system.

Original language | English |
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Title of host publication | Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications |

Publisher | IEEE |

Pages | 357-362 |

Number of pages | 6 |

Publication status | Published - 1996 |

Event | Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96 - Seville, Spain Duration: Jun 24 1996 → Jun 26 1996 |

### Other

Other | Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96 |
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City | Seville, Spain |

Period | 6/24/96 → 6/26/96 |

### Fingerprint

### ASJC Scopus subject areas

- Software

### Cite this

*Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications*(pp. 357-362). IEEE.

**On the detection of critical frequencies of a tool machine.** / Szolgay, P.; Szabo, Tamas.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications.*IEEE, pp. 357-362, Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96, Seville, Spain, 6/24/96.

}

TY - GEN

T1 - On the detection of critical frequencies of a tool machine

AU - Szolgay, P.

AU - Szabo, Tamas

PY - 1996

Y1 - 1996

N2 - An approximate solution is given for determining the ranges of allowed frequency of a mechanical model of a tool machine. The proposed method is based on the simulation of a measurement process of a real structure. The large computing power of the Cellular Neural Networks is used here to compute the transient response of a mechanical vibrating system.

AB - An approximate solution is given for determining the ranges of allowed frequency of a mechanical model of a tool machine. The proposed method is based on the simulation of a measurement process of a real structure. The large computing power of the Cellular Neural Networks is used here to compute the transient response of a mechanical vibrating system.

UR - http://www.scopus.com/inward/record.url?scp=0030405637&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030405637&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0030405637

SP - 357

EP - 362

BT - Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

PB - IEEE

ER -