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RISOnline Discovery and Classification of Operational Regimes From an Ensemble of Time Series Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: One of the pertinent problems in decision and control of dynamical systems is to identify the current operational regime of the physical process under consideration. To this end, there has been an upsurge in (data-driven) ...
Forecasting and Detection of Fatigue Cracks in Polycrystalline Alloys With Ultrasonic Testing Via Discrete Wavelet Transform
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Forecasting and detection of fatigue cracks play a key role in damage mitigation of mechanical structures (e.g., those made of polycrystalline alloys) to enhance their service life, and ultrasonic testing (UT) has emerged ...
Symbolic Time Series Analysis for Anomaly Detection in Measure-Invariant Ergodic Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a novel framework of symbolic time series analysis (STSA) for anomaly detection in dynamical systems. The core concept is built upon a property of measure-preserving transformation (MPT) sequence, acting ...
Transfer Learning for Detection of Combustion Instability Via Symbolic Time-Series Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Transfer learning (TL) is a machine learning (ML) tool where the knowledge, acquired from a source domain, is “transferred” to perform a task in a target domain that has (to some extent) a similar setting. The underlying ...
Data-Driven Detection and Classification of Regimes in Chaotic Systems Via Hidden Markov Modeling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Chaotic dynamical systems are essentially nonlinear and are highly sensitive to variations in initial conditions and process parameters. Chaos may appear both in natural (e.g., heartbeat rhythms and weather fluctuations) ...
Data Fusion and Pattern Classification in Dynamical Systems Via Symbolic Time Series Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Symbolic time series analysis (STSA) plays an important role in the investigation of continuously evolving dynamical systems, where the capability to interpret the joint effects of multiple sensor signals is essential for ...
State Identification Via Symbolic Time Series Analysis for Reinforcement Learning Control
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This technical brief makes use of the concept of symbolic time-series analysis (STSA) for identifying discrete states from the nonlinear time response of a chaotic dynamical system for model-free reinforcement learning ...
Detection of Thermoacoustic Instabilities Via Nonparametric Bayesian Markov Modeling of Time-Series Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Real-time detection and decision and control of thermoacoustic instabilities in confined combustors are challenging tasks due to the fast dynamics of the underlying physical process. The objective here is to develop a ...
Early Detection of Fatigue Crack Damage in Ductile Materials: A Projection-Based Probabilistic Finite State Automata Approach
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Fatigue failure occurs ubiquitously in mechanical structures when they are subjected to cyclic loading well below the material’s yield stress. The tell-tale sign of a fatigue failure is the emergence of cracks at the ...
Robot Path Planning in Uncertain Environments: A Language Measure Theoretic Approach
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper addresses the problem of goaldirected robot path planning in the presence of uncertainties that are induced by bounded environmental disturbances and actuation errors. The offline infinitehorizon optimal plan ...