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Generalized Eigenvalue Decomposition in Time Domain Modal Parameter Identification
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper is intended to point out the relationship among current time domain modal analysis methods by employing generalized eigenvalue decomposition. Ibrahim time domain (ITD), least-squares ...
A Dynamical Systems Approach to Failure Prognosis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, a previously published damage tracking method is extended to provide failure prognosis, and applied experimentally to an electromechanical system with a failing supply battery. The ...
A Dynamical Systems Approach to Damage Evolution Tracking, Part 1: Description and Experimental Application
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this two-part paper we present a novel method for tracking a slowly evolving hidden damage process responsible for nonstationarity in a fast dynamical system. The development of the method ...
A Dynamical Systems Approach to Damage Evolution Tracking, Part 2: Model-Based Validation and Physical Interpretation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, the hidden variable damage tracking method developed in Part 1 is analyzed using a physics-based mathematical model of the experimental system: a mechanical oscillator with a ...
Slow-Time Changes in Human EMG Muscle Fatigue States Are Fully Represented in Movement Kinematics
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The ability to identify physiologic fatigue and related changes in kinematics can provide an important tool for diagnosing fatigue-related injuries. This study examined an exhaustive cycling task ...
Nonlinear Smooth Orthogonal Decomposition of Kinematic Features of Sawing Reconstructs Muscle Fatigue Evolution as Indicated by Electromyography
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Tracking or predicting physiological fatigue is important for developing more robust training protocols and better energy supplements and/or reducing muscle injuries. Current methodologies are usually ...
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