39 citations · 160 across the 21 of their papers we have counts for
5 papers · 1 filter
ANAPT: Additive Noise Analysis for Persistence Thresholding
Audun D. Myers, Firas A. Khasawneh, Brittany T. Fasy
We introduce a novel method for Additive Noise Analysis for Persistence Thresholding (ANAPT) which separates significant features in the sublevel set persistence diagram of a time…
Using Zigzag Persistent Homology to Detect Hopf Bifurcations in Dynamical Systems
Sarah Tymochko, Elizabeth Munch, Firas A. Khasawneh
Bifurcations in dynamical systems characterize qualitative changes in the system behavior. Therefore, their detection is important because they can signal the transition from norma…
Dynamic State Analysis of a Driven Magnetic Pendulum using Ordinal Partition Networks and Topological Data Analysis
Audun Myers, Firas Khasawneh
The use of complex networks for time series analysis has recently shown to be useful as a tool for detecting dynamic state changes for a wide variety of applications. In this work,…
Effects of Correlated Noise on the Performance of Persistence Based Dynamic State Detection Methods
Joshua Tempelman, Audun Myers, Jeffrey Scruggs +1
The ability to characterize the state of dynamic systems has been a pertinent task in the time series analysis community. Traditional measures such as Lyapunov exponents are often…
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…