, pages 138

An unsupervised clustering method for assessing the degradation state of cutting tools used in the packaging industry

F Cannarile ^{1, 2}

P. Baraldi ¹

M Compare ^{1, 2}

D Borghi ²

L Capelli ³

M Cocconcelli ²

A Lahrache ⁴

E. Zio ^{1, 2, 5}

Energy Department, Politecnico di Milano, Milano, Italy |

Aramis Srl, Milano, Italy |

Tetra Pak Packaging Solutions S.p.A., Modena, Italy |

⁴

Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy |

⁵

Chair on Systems Science and the Energetic Challenge, European Foundation for New Energy-Electricité de France, Ecole Centrale Paris and Supelec, France |

Publication type: Proceedings Article

Publication date: 2017-06-07

Taylor & Francis

DOI: 10.1201/9781315210469-119

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IEEE Internet of Things Journal	IEEE Internet of Things Journal, 1, 33.33% IEEE Internet of Things Journal 1 publication, 33.33%
Machines	Machines, 1, 33.33% Machines 1 publication, 33.33%
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Institute of Electrical and Electronics Engineers (IEEE)	Institute of Electrical and Electronics Engineers (IEEE), 2, 66.67% Institute of Electrical and Electronics Engineers (IEEE) 2 publications, 66.67%
MDPI	MDPI, 1, 33.33% MDPI 1 publication, 33.33%
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