These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science
(LIACS),
the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.
The following thesis was written by a student in the 2016-2017 class of the Master Computer Science programme at Leiden University.
Thesis details
Title | Estimating Tool Damage and Remaining Useful Life of a CNC Milling Cutter by Applying Time-Frequency Analysis, Machine Learning and Evolutionary Optimization |
Student | Bismpikos, N. (Nikolaos) |
Programme | Master Computer Science |
Year | 2016-2017 |
Supervisors | Bäck, prof.dr. T.H.W. (Thomas) Bakker, dr. E.M. (Erwin) |
Thesis | Open Thesis PDF |
Citation details
Bismpikos, N. (Nikolaos), Estimating Tool Damage and Remaining Useful Life of a CNC Milling Cutter by Applying Time-Frequency Analysis, Machine Learning and Evolutionary Optimization, Thesis Master Computer Science, LIACS, Leiden University, 2017.