A first order analytical TOD sensor performance model

2016 ◽  
Author(s):  
Piet Bijl ◽  
Maarten A. Hogervorst
Keyword(s):  
Performance Model ◽  
First Order ◽  
Sensor Performance

Dynamic Evaluation of a Nanocomposite Force Sensor

2011 ◽  
Author(s):  
Andrew Werner ◽  
Laine Mears ◽  
Andrew Clark
Keyword(s):  
Low Frequency ◽  
Force Sensor ◽  
Polyphenylene Sulfide ◽  
Order System ◽  
Resistance Change ◽  
First Order ◽  
Sensor Performance ◽  
Loading Waveform ◽  
Linear Spring ◽  
Frequency Behavior

This paper describes the dynamic characteristics of a newly-designed force sensor comprised of carbon nanoparticles embedded in a polyphenylene sulfide matrix and operating on the principle of contact resistance change with pressure. Sensor performance was investigated for frequencies ranging from 1 to 1,000 Hz using two testing setups: a load frame for low frequency characterization and a piezo-electric stack for describing higher-frequency behavior. Bode magnitude and phase response plots were developed and it was determined that the sensor under study can be modeled as a first order system up to 600 Hz. The −3 dB bandwidth was found to be 90 Hz and the sensor’s time constant was determined to be 0.0018 seconds. A dynamic model of the sensor is constructed and compared against performance data. The sensor was found to have non-linear spring properties, allowing for two damping coefficients, one for each spring constant range, to be calculated. The damping coefficient was calculated to be 619 lb-s/in for loadings under 600 lbs and 1928 lb-s/in for loadings greater than 600 lbs. The sensor’s time response was also found to be more similar in shape to the input loading waveform when it was compared to piezoelectric load transducers.

scholarly journals Adsorption Kinetics of NO2 Gas on Pt/Cr-TiO2/Pt-Based Sensors

Chemosensors ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Azhar Ali Haidry ◽  
Qawareer Fatima ◽  
Ahmar Mehmood ◽  
Asim Shahzad ◽  
Yinwen Ji ◽  
...  
Keyword(s):  
Adsorption Kinetics ◽  
Performance Enhancement ◽  
Operating Temperature ◽  
Sensor Response ◽  
Response Curves ◽  
Pseudo First Order Reaction ◽  
First Order ◽  
Sensor Performance ◽  
Sensor Structure ◽  
Pseudo First Order

Metal oxides are excellent candidates for the detection of various gases; however, the issues such as the limited operating temperature and selectivity are the most important ones requiring the comprehensive understanding of gas adsorption kinetics on the sensing layer surfaces. To this context, the present study focuses mainly on the fabrication of a Pt/Cr-TiO2/Pt type sensor structure that is highly suitable in reducing the operating temperature (from 400 to 200 °C), extending the lower limit NO2 gas concentration (below 10 ppm) with fast response (37 s) and recovery (24 s) times. This illustrates that the sensor performance is not only solely dependent on the nature of sensing material, but also, it is significantly enhanced by using such a new kind of electrode geometry. Moreover, Cr doping into TiO2 culminates in altering the sensor response from n- to p-type and thus contributes to sensor performance enhancement by detecting low NO2 concentrations selectively at reduced operating temperatures. In addition, the NO2 surface adsorption kinetics are studied by fitting the obtained sensor response curves with Elovich, inter-particle diffusion, and pseudo first-order and pseudo second-order adsorption models. It is found that a pseudo first-order reaction model describes the best NO2 adsorption kinetics toward 7–170 ppm NO2 gas at 200 °C. Finally, the sensing mechanism is discussed on the basis of the obtained results.

Validation of an IR seeker/sensor performance model

1995 ◽  
Author(s):  
Jason S. Holloway ◽  
Steven P. Auerbach ◽  
Richard D. Brewer ◽  
Lawrence E. Hauser ◽  
John D. McGlynn ◽  
...  
Keyword(s):  
Performance Model ◽  
Sensor Performance

The Calibration and Evaluation of Dissolved Oxygen Sensors in an Activated Sludge Plant

1982 ◽  
Vol 17 (1) ◽  
pp. 117-134 ◽  
Author(s):  
G. Speirs ◽  
D. Chapman ◽  
E. Luxon ◽  
J. Matthews
Keyword(s):  
Dissolved Oxygen ◽  
Activated Sludge ◽  
Microbial Growth ◽  
Pilot Scale ◽  
Transfer Coefficients ◽  
First Order ◽  
State Tests ◽  
Sensor Performance ◽  
Mode Of Operation ◽  
Do Concentration

Abstract The performance of three types of dissolved oxygen (DO) sensors was evaluated in a pilot scale activated sludge plant. As the instruments were interfaced to a minicomputer, a curve fitting technique was developed to compensate for instrument non-linearity. Weighted regression was performed to update initial calibrations. Fouling due to the microbial growth on the surface of the probe was the principal cause of decline in sensor performance with time. The rate of fouling depended on the type of sensor used, the mode of operation, the frequency of maintenance and the velocity of fluid past the probe. A number of alternatives were evaluated for reducing or compensating for the effects of fouling and other causes of inaccuracy. To determine the suitability of sensors for tracking DO concentration during non-steady state tests for determining overall mass transfer coefficients (KLa), the probes were subjected to repeated step changes in DO concentration. First-order time constants (τ) for the sensors were estimated based on the results of each step.

Target acquisition modeling over the exact optical path: extending the EOSTAR TDA with the TOD sensor performance model

2017 ◽  
Author(s):  
Martien Oppeneer ◽  
Piet Bijl ◽  
Judith Dijk ◽  
Miranda van Iersel ◽  
Johan-Martijn ten Hove
Keyword(s):  
Optical Path ◽  
Performance Model ◽  
Target Acquisition ◽  
Sensor Performance

Empirical Television Sensor Performance Model

1985 ◽  
Vol 24 (5) ◽  
Author(s):  
David E. Schmieder ◽  
Burton Wolfe
Keyword(s):  
Performance Model ◽  
Sensor Performance

scholarly journals EOSTAR: an electro-optical sensor performance model for predicting atmospheric refraction, turbulence, and transmission in the marine surface layer

2004 ◽  
Author(s):  
Gerard J. Kunz ◽  
Marcel M. Moerman ◽  
Alexander M. J. van Eijk ◽  
Stephen M. Doss-Hammel ◽  
Dimitri Tsintikidis
Keyword(s):  
Surface Layer ◽  
Optical Sensor ◽  
Performance Model ◽  
Atmospheric Refraction ◽  
Sensor Performance ◽  
Marine Surface Layer ◽  
Marine Surface

DEVELOPMENT OF PAVEMENT PERFORMANCE MODEL FOR PROPER REHABILITATION AND MAINTENANCE USING FIRST ORDER MARKOV CHAIN

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Amjad Issa ◽  
Sameer Abu Eisheh
Keyword(s):  
Markov Chain ◽  
Condition Index ◽  
Performance Model ◽  
Pavement Performance ◽  
Pavement Condition ◽  
First Order ◽  
Order Markov Chain ◽  
Effective Manner ◽  
The Right ◽  
Pavement Performance Model

The development of pavement performance model is an important step in prediction the future condition of pavement section and accordingly identifying the right road rehabilitation and maintenance in the right time for the right section. The first order Markov chain probabilistic model is used to predict the degradation of flexible pavement in Palestine. A pilot study is conducted on part of the road network in Nablus City. Visual road condition assessment is performed, and the Pavement Condition Index (PCI) is used in rating pavement sections by dividing the roads each 100 m length. The prediction of the pavement condition rating for each section in the first five to ten years of section age will enhance the applying of preventive maintenance strategy and consequently urges the Local Governmental Units to use the limited allocated budgets specified for pavement maintenance in a cost-effective manner by applying maintenance actions such as crack sealing, surface patching, micro-surfacing, milling and overlay, etc.

Sign in / Sign up

Export Citation Format

Share Document