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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 973 records · Page 54
All sourcesNASA NTRSDOE OSTI
DOE OSTI2022

Squeeze Film Damper Experimental and Numerical Correlation: Test Setup Description and Parameter Identification of Dry System

The process of characterizing a damper involves both experimental techniques and model simulation. Experiments characterize dynamic behavior of a system through empirical modal analysis using impact and shaker testing. The layout of the test setup is crucial for a low-mass, nonlinear system. Physical arrangement, orientation of the system, and instrumentation affect the results that are discussed in this paper. These results can be used to validate a numerical simulation of the same system. With a validated model, important physical input parameters and modeling techniques can be determined and implemented in future designs. In other words, this modeling can be used with confidence to design alternative dampers that may be difficult, costly, and time-consuming to characterize experimentally.

Cook, Jason↗
DOE OSTI2024

A Data-Driven Framework for Power System Event Type Identification via Safe Semi-Supervised Techniques

Herein this paper investigates the use of phasor measurement unit (PMU) data with deep learning techniques to construct real-time event identification models for transmission networks. Increasing penetration of distributed energy resources represents a great opportunity to achieve decarbonization, as well as challenges in systematic situational awareness. When high-resolution PMU data and sufficient manually recorded event labels are available, the power event identification problem is defined as a statistical classification problem that can be solved by numerous cutting-edge classifiers. However, in real grids, collecting tremendous high-quality event labels is quite expensive. Utilities frequently have a large number of event records without in-depth details (i.e., unlabeled events). To bridge this gap, we propose a novel semi-supervised learning-based method to improve the performance of event classifiers trained with a limited number of labeled events by exploiting the information from massive unlabeled events. In other words, compared to existing data-driven methods, our method requires only a small portion of labeled data to achieve a similar level of accuracy. Meanwhile, this work discusses and addresses the performance degradation caused by class distribution mismatch between the training set and the real applications. Based on the proposed safe learning mechanism, our model does not directly use all unlabeled events during model training, but selectively uses them through a comprehensive evaluation procedure. Numerical studies on a sizable PMU dataset have been used to validate the performance of the proposed method.

42 ENGINEERING↗
DOE OSTI2013

Global Cylinder Identification and Monitoring System: Nonproliferation Concerns and Baseline Definition

With growing nuclear commerce and new safeguards initiatives, the international safeguards system continues to face ever-increasing demands to verify nuclear materials. Emerging proliferation threats from both state and non-state actors are also leading to increased concerns over the diversion of nuclear materials—for example, the loss of cylinders containing uranium hexafluoride (UF 6 ) during transport or the introduction of undeclared feed into enrichment plants. The International Atomic Energy Agency (IAEA) goal for detecting the diversion of a significant quantity (SQ) of natural or low-enriched uranium (LEU) is 1 year. If a proliferant state were able to obtain a cylinder containing natural or low-enriched UF 6 , it could produce a SQ of highly enriched uranium (HEU) (25 kilograms) in less than a year using a moderately sized enrichment facility.

White-Horton, Jessica L.↗
NASA NTRS1974

A study of a dual polarization laser backscatter system for remote identification and measurement of water pollution

Remote identification and measurement of subsurface water turbidity and oil on water was accomplished with analytical models which describe the backscatter from smooth surface turbid water, including single scatter and multiple scatter effects. Lidar measurements from natural waterways are also presented and compared with ground observations of several physical water quality parameters.

Sheives, T. C.↗
NASA NTRS1976

Technology assessment of future intercity passenger transporation systems. Volume 2: Identification of issues affecting intercity transportation

Papers on major issues and trends that affect the future of intercity transportation are presented. Specific areas covered include: political, social, technological, institutional, and economic mechanisms, the workings of which determine how future intercity transporation technologies will evolve and be put into service; the major issues of intercity transportation from the point of view of reform, including candidate transporation technologies; and technical analysis of trends affecting the evolution of intercity transportation technologies.

Source record↗
NASA NTRS1989

Identification of nonlinear systems

Given a Volterra series representations of an input-output system, the authors present a result concerning conditions under which there exists a feedback linearizable realization of the nonlinear system. In addition, they have developed a method to compute the unknown parameters in a canonical form realization from the known Volterra kernels. A finite number of parameters can be calculated from an associated finite number of the kernels. The authors restrict themselves to single-input, single-output continuous-time systems. It is assumed that the systems have real analytic state-space representations. The realization results are local, taking place a neighborhood of the origin in state space.

Hunt, L. R.↗
NASA NTRS1992

Identification of linear system models and state estimators for controls

The following paper is presented in viewgraph format and covers topics including: (1) linear state feedback control system; (2) Kalman filter state estimation; (3) relation between residual and stochastic part of output; (4) obtaining Kalman filter gain; (5) state estimation under unknown system model and unknown noises; and (6) relationship between filter Markov parameters and system Markov parameters.

Chen, Chung-Wen↗
NASA NTRS1993

Identification of velocity systems in the inner Orion nebula

We have measured the properties of He I and Ca II optical absorption lines in the four Trapezium stars of M42 and Theta-exp-2 A Ori using CCD spectra of 3.3 km/s full width at half-maximum intensity (FWHM). A similar analysis was also done of previously published Na I spectra. Some lines are seen in all of the stars and others in as few as one. The 24 different line systems noted in specific ions are matched into 12 absorption velocity systems, three of which coincide with 21 cm H I absorption. Data from 20 different emission-line systems seen in a variety of ionization states are combined into eight emission-line velocity systems, one of which agrees with an absorption system. These data are combined to produce a line-of-sight model to M42, which has the special feature of identifying ionization fronts not only at the near side of the parent molecular cloud, but also on both sides of the neutral lid that overlies the optical nebula.

O'Dell, C. R.↗