scholarly journals Modeling of the tensometric measuring system

2019 ◽  
pp. 18-23
Author(s):  
Jozef Novotnak ◽  
Miroslav Smelko ◽  
Rudolf Andoga ◽  
Pavol Lipovsky ◽  
Martin Filko
Keyword(s):  
Step Change ◽  
Measuring System ◽  
System Response ◽  
Graphical Comparison ◽  
Simulated System ◽  
Measured System ◽  
System Characteristics

Article deals with the design of a model of a tensometric measuring system. Authors in this article describes the procedure for measuring the system response to a step change in load and then the procedure creating a model. The article shows a graphical comparison between the measured ones system characteristics and simulated system characteristics. The conclusion is given calculated errors between measured system characteristics and simulated system characteristics.

System Implications of the Ambulance Arrival-to-Patient Contact Interval on Response Interval Compliance

1994 ◽  
Vol 9 (4) ◽  
pp. 230-232 ◽  
Author(s):  
Jack P. Campbell ◽  
Matthew C. Gratton ◽  
Joseph A. Salomone ◽  
Daniel J. Lindholm ◽  
William A. Watson
Keyword(s):  
Response Time ◽  
Statistical Significance ◽  
Public Utility ◽  
Third Party ◽  
Measuring System ◽  
System Response ◽  
Time Interval ◽  
Patient Access ◽  
Time Intervals ◽  
Chi Square

AbstractBackground:Background: In some emergency medical services (EMS) system designs, response time intervals are mandated with monetary penalties for noncompliance. These times are set with the goal of providing rapid, definitive patient care. The time interval of vehicle at scene-to-patient access (VSPA) has been measured, but its effect on response time interval compliance has not been determined.Purpose:To determine the effect of the VSPA interval on the mandated code 1 (<9 min) and code 2 (<13 min) response time interval compliance in an urban, public-utility model system.Methods:A prospective, observational study used independent third-party riders to collect the VSPA interval for emergency life-threatening (code 1) and emergency nonlife-threatening (code 2) calls. The VSPA interval was added to the 9-1-1 call-to-dispatch and vehicle dispatch-to-scene intervals to determine the total time interval from call received until paramedic access to the patient (9-1-1 call-to-patient access). Compliance with the man dated response time intervals was determined using the traditional time intervals (9-1-1 call-to-scene) plus the VSPA time intervals (9-1-1 call-to-patient access). Chi-square was used to determine statistical significance.Results:Of the 216 observed calls, 198 were matched to the traditional time intervals. Sixty three were code 1, and 135 were code 2. Of the code 1 calls, 90.5% were compliant using 9-1-1 call-to-scene intervals dropping to 63.5% using 9-1-1 call-to-patient access intervals (p<0.0005). Of the code 2 calls, 94.1% were compliant using 9-1-1 call-to-scene intervals. Compliance decreased to 83.7% using 9-1-1 call-to-patient access intervals (p = 0.012).Conclusion:The addition of the VSPA interval to the traditional time intervals impacts system response time compliance. Using 9-1-1 call-to-scene compliance as a basis for measuring system performance underestimates the time for the delivery of definitive care. This must be considered when response time interval compliances are defined.

Model Based Temperature Control in RTP Yielding ±0.1 °C accuracy on A 1000 °C, 2 second, 100 °C/s Spike Anneal

1998 ◽  
Vol 525 ◽  
Author(s):  
Peter Vandenabeele ◽  
Wayne Renken
Keyword(s):  
Differential Equations ◽  
Temperature Control ◽  
Control Method ◽  
Nonlinear Differential Equations ◽  
System Response ◽  
Model Based Control ◽  
First Order ◽  
Model Based ◽  
Measured System ◽  
Spike Anneal

ABSTRACTA Model Based Control method is presented for accurate control of RTP systems. The model uses 4 states: lamp filament temperature, wafer temperature, quartz temperature and TC temperature. A set of 4 first order, nonlinear differential equations describes the model. Feedback is achieved by updating the model, based on a comparison between actual (measured) system response and modeled system response.

Fault detection and tolerance in synchronous vibration control of rotor—magnetic bearing systems

2001 ◽  
Vol 215 (12) ◽  
pp. 1401-1416 ◽  
Author(s):  
M N Sahinkaya ◽  
M O T Cole ◽  
C R Burrows
Keyword(s):  
Vibration Control ◽  
Magnetic Bearing ◽  
Open Loop ◽  
Magnetic Bearings ◽  
Control Technique ◽  
Effective Control ◽  
System Response ◽  
Rotor Support ◽  
Measured System ◽  
Control Forces

The use of magnetic bearings in rotating machinery provides contact-free rotor support, and allows vibration control using both closed-loop and open-loop strategies. One of the simplest and most effective methods to reduce synchronous lateral vibration when using magnetic bearings is through an open-loop adaptive control technique, in which the amplitude and phase of synchronous magnetic control forces are adjusted automatically to minimize the measured vibrations along the rotor. However, transducer malfunction, or faults in the signal-processing channels, may cause the controller to adapt incorrectly, with unwanted and possibly catastrophic effects. It is shown that an extension to the control strategy, which utilizes the variances of the measured system response and identified parameters, enables the faults to be detected and accounted for so that a modified control action can achieve continued and effective control of the synchronous vibration. The approach is extended further to identify changes in external factors, such as unbalance and rotor dynamics. Various faults and perturbations are examined experimentally, and the ability of the controller to detect and compensate for these changes is demonstrated.

Design and Application of New Type PCT Measuring System for Hydrogen Storage Alloy

2014 ◽  
Vol 889-890 ◽  
pp. 707-711
Author(s):  
Zhong Feng Guo ◽  
Jun Hong Hu ◽  
Liang Xu ◽  
Chun Ming Xia
Keyword(s):  
Hydrogen Storage ◽  
Hydrogen Absorption ◽  
Test System ◽  
Ideal Gas ◽  
Hydrogen Storage Alloy ◽  
Absorption Curve ◽  
Measuring System ◽  
Vacuum System ◽  
System Response ◽  
New Type

In order to analysis the properties of hydrogen storage alloy, hydrogen storage properties, the test principle of pressure-composition-temperature (PCT) was analyzed in detailed, the new type PCT test system was designed on the base of the state equation of ideal gas. The PCT test system is composed of five parts: air supply system, vacuum system, response system, data acquisition system and electric control system. The PCT test system can be carried out in four channel linkage experiments. The hydrogen storage performance experiments of LaNi5 hydrogen storage alloy were carried out by using this system. Hydrogen absorption curve was gained by two kinds of modeling methods. Results show that: the test system can test the hydrogen absorption curve smoothly, efficiently and accurately. The design of this system is reasonable and the test result is reliable.

INFORMATIONAL CAPACITY OF ACOUSTIC MEASUREMENTS

2001 ◽  
Vol 09 (04) ◽  
pp. 1395-1406 ◽  
Author(s):  
EUGENE LICHMAN
Keyword(s):  
Energy Spectrum ◽  
Impulse Response ◽  
Seismic Data ◽  
Computational Procedure ◽  
System Response ◽  
Phase Lag ◽  
One Dimensional ◽  
Short Period ◽  
Measurement Function ◽  
Measured System

Presented is the theoretical model for extracting the system response from measurements of the acoustic wave propagating through the linear system. Based on the results of this analysis, measurements are described as a convolution of the impulse response of the system with the mixed-phase-lag nonstationary forward wavelet (or source-generated wavefield). The source-generated wavefield includes all multiple terms generated within the system as well as the energy source signature and the detector characteristics. It is shown that the decay ratio of the source-generated wavefield can be used to separate the energy spectrum of the source-generated wavefield and the energy spectrum of the impulse response from the measurement function. The level of separability of energy spectrum of the source-generated wavefield and the impulse response reflects the amount of information about the measured system, which can be obtained from experimental data. In particular, if the source-generated wavefield does not decay during the propagation through the system, or, if the effective distance of the decay is comparable with the size of the measured system, the impulse response cannot be extracted from the result of measurements. Based on the theoretical conclusions, the computational procedure is proposed for one-dimensional deconvolution algorithm. The application of this algorithm is illustrated using seismic data as an example. The forward wavelet is extracted from seismic data itself. The deconvolution of data with the extracted wavelet provides surface-consistent scaling along with peg-leg and short-period multiples attenuation.

A computational compensation for measuring system dynamics

SIMULATION ◽  
1966 ◽  
Vol 7 (6) ◽  
pp. 318-323
Author(s):  
Maughan S. Mason ◽  
George W. Clary
Keyword(s):  
Input Signal ◽  
Physical System ◽  
Time History ◽  
Test Stand ◽  
Measuring System ◽  
System Response ◽  
Sufficient Information ◽  
Unknown Input ◽  
Spring Force ◽  
Active Filtering

This paper is concerned with the general problem of de termining the time history of an unknown input signal, given only the recorded response of a known physical sys tem excited by the unknown input. The particular case considered is determination of true thrust from the re corded test stand response, with the physical system re sponse noise superimposed upon the thrust data. Passive or numerical filtering can smooth the trace, but these methods will attenuate the signal within a particular fre quency band, and thus may distort the data content of the recorded response. The paper describes analog computer techniques that can be used to reconstruct data distorted by such physical system response. The data may be recovered through an "active filtering" process, even when it contains compo nents of a higher frequency than the response noise being removed. Several examples are shown, including one case where the original signal was recovered intact even though the input signal excited a system resonance by passing through the natural frequency of the simulated test stand. The method described is not restricted to linear systems, but can take into account such nonlinearities as changing rocket booster mass, and nonlinear damping and spring force versus deflection relationships. The major require ment is to obtain sufficient information to permit deriva tion of a realistic mathematical model of the physical sys tem used for test and measurement purposes.

scholarly journals Understanding the HERA Phase I receiver system with simulations and its impact on the detectability of the EoR delay power spectrum

2020 ◽  
Vol 500 (1) ◽  
pp. 1232-1242
Author(s):  
Nicolas Fagnoni ◽  
Eloy de Lera Acedo ◽  
David R DeBoer ◽  
Zara Abdurashidova ◽  
James E Aguirre ◽  
...  
Keyword(s):  
Power Spectrum ◽  
Phase I ◽  
Electromagnetic Waves ◽  
Mutual Coupling ◽  
System Response ◽  
Receiver System ◽  
Simulated System ◽  
Systematic Effects ◽  
System Time ◽  
Large Sections

ABSTRACT The detection of the Epoch of Reionization (EoR) delay power spectrum using a ‘foreground avoidance method’ highly depends on the instrument chromaticity. The systematic effects induced by the radio telescope spread the foreground signal in the delay domain, which contaminates the EoR window theoretically observable. Applied to the Hydrogen Epoch of Reionization Array (HERA), this paper combines detailed electromagnetic and electrical simulations in order to model the chromatic effects of the instrument, and quantify its frequency and time responses. In particular, the effects of the analogue receiver, transmission cables, and mutual coupling are included. These simulations are able to accurately predict the intensity of the reflections occurring in the 150-m cable which links the antenna to the backend. They also show that electromagnetic waves can propagate from one dish to another one through large sections of the array due to mutual coupling. The simulated system time response is attenuated by a factor 104 after a characteristic delay which depends on the size of the array and on the antenna position. Ultimately, the system response is attenuated by a factor 105 after 1400 ns because of the reflections in the cable, which corresponds to characterizable k∥-modes above 0.7 $h\,\,\rm {Mpc}^{-1}$ at 150 MHz. Thus, this new study shows that the detection of the EoR signal with HERA Phase I will be more challenging than expected. On the other hand, it improves our understanding of the telescope, which is essential to mitigate the instrument chromaticity.

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