TL;DR: A real-time hybrid experimental method, in which output from an actuator-excited vibration experiment and response calculation are combined on-line and conducted simultaneously in real time, is being developed as a new seismic experimental method for structural systems.
TL;DR: In this paper, the theory of variable structure systems with sliding mode control has been used to develop a power conditioning system, and an experimental system has been developed, and digital simulation of both the power and control systems has been performed.
Abstract: The theory of variable structure systems with sliding mode control has been used to develop a power conditioning system. An experimental system has been developed, and digital simulation of both the power and control systems has been performed. The good agreement between the analytical study and the experimental and simulation results confirms the validity of the proposed control system.
TL;DR: In this paper, a nonlinear, two-time-scale modeling strategy based on the delay reconstruction of a system's phase space is proposed to track a slowly evolving hidden damage process responsible for nonstationarity in a fast dynamical system.
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 and its application to an electromechanical experiment is the core of Part 1. In Part 2, a mathematical model of the experimental system is developed and used to validate the experimental results. In addition, an analytical connection is established between the tracking method and the physics of the system based on the idea of averaging and the slow flow equations for the hidden process. The tracking method developed in this study uses a nonlinear, two-time-scale modeling strategy based on the delay reconstruction of a system’s phase space. The method treats damage-induced nonstationarity as evolving in a hierarchical dynamical system containing a fast, directly observable subsystem coupled to a slow, hidden subsystem. The utility of the method is demonstrated by tracking battery discharge in a vibrating beam system with a battery-powered electromagnetic restoring force. Applications to systems with evolving material damage are also discussed. @DOI: 10.1115/1.1456908#
TL;DR: In this paper, the applicability of artificial neural networks (ANNs) to predict the performance of automotive air conditioning (AAC) systems using HFC134a as the refrigerant was discussed.
TL;DR: In this paper, a computer-aided experimental system (CAES) was used to generate all typical flow patterns in vertical flow and measure all chosen dynamic parameters (concentration, pressure, and interfacial phenomenon) simultaneously.