Search Results for author: Melih C. Yesilli

Found 6 papers, 1 papers with code

Data-driven and Automatic Surface Texture Analysis Using Persistent Homology

no code implementations19 Oct 2021 Melih C. Yesilli, Firas A. Khasawneh

Therefore, fast and automatic determination of the roughness level is essential to avoid costs resulting from surfaces with unacceptable finish, and user-intensive analysis.

Texture Classification Topological Data Analysis

On Transfer Learning of Traditional Frequency and Time Domain Features in Turning

no code implementations28 Aug 2020 Melih C. Yesilli, Firas A. Khasawneh

In this study, we use these tools in a supervised learning setting to identify chatter in accelerometer signals obtained from a turning experiment.

TAG Transfer Learning

Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector

no code implementations27 Oct 2019 Melih C. Yesilli, Sarah Tymochko, Firas A. Khasawneh, Elizabeth Munch

In this study, we use topological features of data simulating cutting tool vibrations, combined with four supervised machine learning algorithms to diagnose chatter in the milling process.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping

no code implementations5 Aug 2019 Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto

In this paper, we present an alternative approach for chatter detection based on K-Nearest Neighbor (kNN) algorithm for classification and the Dynamic Time Warping (DTW) as a time series similarity measure.

Dynamic Time Warping Time Series +1

Topological Feature Vectors for Chatter Detection in Turning Processes

no code implementations21 May 2019 Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto

We present the results for several choices of the topological feature vectors, and we compare our results to the WPT and EEMD methods using experimental turning data.

Time Series

On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition

1 code implementation3 May 2019 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.

General Classification Time Series +1

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