17 citations · 19 across the 3 of their papers we have counts for
6 papers
Topological Measures for Pattern quantification of Impact Centers in Piezo Vibration Striking Treatment (PVST)
Melih C. Yesilli, Max M. Chumley, Jisheng Chen +2
Surface texture influences wear and tribological properties of manufactured parts, and it plays a critical role in end-user products. Therefore, quantifying the order or structure…
Data-driven and Automatic Surface Texture Analysis Using Persistent Homology
Melih C. Yesilli, Firas A. Khasawneh
Surface roughness plays an important role in analyzing engineering surfaces. It quantifies the surface topography and can be used to determine whether the resulting surface finish…
On Transfer Learning of Traditional Frequency and Time Domain Features in Turning
Melih C. Yesilli, Firas A. Khasawneh
There has been an increasing interest in leveraging machine learning tools for chatter prediction and diagnosis in discrete manufacturing processes. Some of the most common feature…
Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector
Melih C. Yesilli, Sarah Tymochko, Firas A. Khasawneh +1
Chatter detection has become a prominent subject of interest due to its effect on cutting tool life, surface finish and spindle of machine tool. Most of the existing methods in cha…
Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping
Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto
Chatter detection from sensor signals has been an active field of research. While some success has been reported using several featurization tools and machine learning algorithms,…
On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition
Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto
The increasing availability of sensor data at machine tools makes automatic chatter detection algorithms a trending topic in metal cutting. Two prominent and advanced methods for f…