𝔖 Bobbio Scriptorium
✦   LIBER   ✦

New trends in machine tool monitoring and diagnostics

✍ Scribed by László Monostori


Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
611 KB
Volume
4
Category
Article
ISSN
0736-5845

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Tool-wear monitoring in machine turning
✍ G.H. Lim 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 453 KB

Metal-cutting quality is normally affected by the contact conditions at the tool and workpiece interface. The wear on the tool is an important consideration for an effective unmanned machine-turning system. This paper presents the changes that can be detected in the vibration signatures during the m

ORDER BISPECTRUM: A NEW TOOL FOR RECIPRO
✍ DUŠAN KOCUR; RADOSLAV STANKO 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 792 KB

Vibrations and sounds generated by reciprocated machines or by their parts strongly depend on the rotation speed of the main shaft of the tested reciprocating system. At the testing or at common performance of the reciprocated machines, their rotation speed is usually changing. With regard to this f

Tool condition and machined surface moni
✍ I.S. Kang; J.S. Kim; M.C. Kang; K.Y. Lee 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 650 KB

The monitoring technology of machining process is very important to improve the productivity and reliability of products in the recent manufacturing field. There are still several attempts in order to apply the monitoring technology in machining condition. Because of signal processing and reliabilit

FUZZY CLUSTERING FOR AUTOMATED TOOL COND
✍ S. Li; M.A. Elbestawi 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 397 KB

A strategy for unsupervised classification for automated tool condition monitoring by using fuzzy neural networks is proposed. This approach is based on a newly developed classification algorithm by the authors, namely the multiple principal component fuzzy neural network for tool condition monitori