Infiltration model based on blower door measurement data

2014 ◽  
Author(s):  
Y.M. Ji ◽  
D.M. Lin
Keyword(s):  
Measurement Data ◽  
Infiltration Model ◽  
Model Based

scholarly journals A Real-Time Dynamic Fuel Cell System Simulation for Model-Based Diagnostics and Control: Validation on Real Driving Data

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3148 ◽  
Author(s):  
Daniel Ritzberger ◽  
Christoph Hametner ◽  
Stefan Jakubek
Keyword(s):  
Fuel Cell ◽  
Real Time ◽  
Combustion Engine ◽  
System Simulation ◽  
Measurement Data ◽  
Fuel Cell Vehicle ◽  
Feedback Controls ◽  
Model Based ◽  
And Control ◽  
Stack Model

Fuel cell systems are regarded as a promising candidate in replacing the internal combustion engine as a renewable and emission free alternative in automotive applications. However, the operation of a fuel cell stack fulfilling transient power-demands poses significant challenges. Efficiency is to be maximized while adhering to critical constraints, avoiding adverse operational conditions (fuel starvation, membrane flooding or drying, etc.) and mitigating degradation as to increase the life-time of the stack. Owing to this complexity, advanced model-based diagnostic and control methods are increasingly investigated. In this work, a real time stack model is presented and its experimental parameterization is discussed. Furthermore, the stack model is integrated in a system simulation, where the compressor dynamics, the feedback controls for the hydrogen injection and back-pressure valve actuation, and the purging strategy are considered. The resulting system simulation, driven by the set-point values of the operating strategy is evaluated and validated on experimental data obtained from a fuel cell vehicle during on-road operation. It will be shown how the internal states of the fuel cell simulation evolve during the transient operation of the fuel cell vehicle. The measurement data, for which this analysis is conducted, stem from a fuel cell research and demonstrator vehicle, developed by a consortium of several academic and industrial partners under the lead of AVL List GmbH.

scholarly journals Research on Image Acquisition Method Model Based on Implicit Association Test

2020 ◽  
Vol 179 ◽  
pp. 02006
Author(s):  
Zhuen Guo ◽  
Li Lin
Keyword(s):  
Cognitive Processing ◽  
Implicit Association Test ◽  
Measurement Data ◽  
Association Test ◽  
Implicit Association ◽  
Perceptual Evaluation ◽  
Model Based ◽  
Implicit Measurement ◽  
Product Image ◽  
Extraction Model

In the process of the traditional quantitative method is easily interfered with by subjective and external environment, and cannot reflect the real emotion of users. The implicit measurement method can better reflect the cognitive of users and has good reliability in perceptual evaluation. In this paper, the implicit cognitive processing process in users’ perceptual evaluation of products is quantitatively analyzed. The correlation between product image attribute values and implicit measurement data is obtained. Thus, an image extraction model based on implicit measurement data is obtained. The implicit association test is introduced into the image extraction process, and the relationship between the implicit association test data of users and the data of product image attribute values is analyzed. Taking UAV as the analysis prototype, the image extraction model is obtained. After verification and analysis, the image extraction results are consistent with the image attribute values.

scholarly journals A Computationally-Efficient Probabilistic Approach to Model-Based Damage Diagnosis

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
James E. Warner ◽  
Geoffrey F. Bomarito ◽  
Jacob D. Hochhalter ◽  
William P. Leser ◽  
Patrick E. Leser ◽  
...  
Keyword(s):  
Probability Distributions ◽  
Probabilistic Approach ◽  
Measurement Data ◽  
Image Correlation ◽  
Sensor Data ◽  
Fe Model ◽  
Computationally Efficient ◽  
Damage Diagnosis ◽  
Full Field ◽  
Model Based

This work presents a computationally-efficient, probabilistic approach to model-based damage diagnosis. Given measurement data, probability distributions of unknown damage parameters are estimated using Bayesian inference and Markov chain Monte Carlo (MCMC) sampling. Substantial computational speedup is obtained by replacing a three-dimensional finite element (FE) model with an efficient surrogate model. While the formulation is general for arbitrary component geometry, damage type, and sensor data, it is applied to the problem of strain-based crack characterization and experimentally validated using full-field strain data from digital image correlation (DIC). Access to full-field DIC data facilitates the study of the effectiveness of strain-based diagnosis as the distance between the location of damage and strain measurements is varied. The ability of the framework to accurately estimate the crack parameters and effectively capture the uncertainty due to measurement proximity and experimental error is demonstrated. Furthermore, surrogate modeling is shown to enable diagnoses on the order of seconds and minutes rather than several days required with the FE model.

SU-E-T-226: Correction of a Standard Model-Based Dose Calculator Using Measurement Data

2015 ◽  
Vol 42 (6Part15) ◽  
pp. 3384-3384
Author(s):  
M Chen ◽  
S Jiang ◽  
W Lu
Keyword(s):  
Standard Model ◽  
Measurement Data ◽  
Model Based

Model-Based Estimation of Mechanical Characters of Arterial Vessels Using Experimental Dynamic Response Data

2011 ◽  
Author(s):  
Rahil Vali ◽  
Takashi Saito
Keyword(s):  
Mechanical Model ◽  
Damping Ratio ◽  
Elastic Shell ◽  
Measurement Data ◽  
Circulatory System ◽  
Stiffness Index ◽  
Working Fluid ◽  
Model Based ◽  
Ring Model ◽  
Downhill Simplex

As both the geometric and stiffness changes may occur in atherosclerosis, it is necessary to estimate respective contribution from structural and material characteristics in the stiffness index. In this study, we employ the primary mechanical model based on one of elastic shell theory, Love’s theory and look upon a blood vessel as a ring model. Furthermore in order to confirm validity of the model, the experiments were carried out on artificial tubes. The circulating circuit is applied as the circulatory system of human body including tubes, and water is designated as the working fluid of the circulating circuit. Experimental data are applied for mechanical model and mechanical parameters are identified using Downhill simplex method as the inverse problem. In this study stiffness index and damping ratio were identified and the result of Love’ theory was compared with measurement data and Donnell’s theory. The result shows that present study can confirm the measurement data with the fine approximation.

scholarly journals A Model-Based Anomaly Detection Approach for Analyzing Streaming Aircraft Engine Measurement Data

2014 ◽  
Author(s):  
Donald L. Simon ◽  
Aidan W. Rinehart
Keyword(s):  
Steady State ◽  
Anomaly Detection ◽  
Piecewise Linear ◽  
Measurement Data ◽  
Aircraft Engine ◽  
Dynamic State ◽  
Test Case ◽  
Model Based ◽  
Detection Approach ◽  
Case Data

This paper presents a model-based anomaly detection architecture designed for analyzing streaming transient aircraft engine measurement data. The technique calculates and monitors residuals between sensed engine outputs and model predicted outputs for anomaly detection purposes. Pivotal to the performance of this technique is the ability to construct a model that accurately reflects the nominal operating performance of the engine. The dynamic model applied in the architecture is a piecewise linear design comprising steady-state trim points and dynamic state space matrices. A simple curve-fitting technique for updating the model trim point information based on steady-state information extracted from available nominal engine measurement data is presented. Results from the application of the model-based approach for processing actual engine test data are shown. These include both nominal fault-free test case data and seeded fault test case data. The results indicate that the updates applied to improve the model trim point information also improve anomaly detection performance. Recommendations for follow-on enhancements to the technique are also presented and discussed.

scholarly journals A Novel Slope Failure Operator for a Non-Equilibrium Sediment Transport Model

10.29007/3rtl ◽  
2018 ◽  
Author(s):  
Jiaheng Zhao ◽  
Ilhan Özgen ◽  
Dongfang Liang ◽  
Reinhard Hinkelmann
Keyword(s):  
Sediment Transport ◽  
Slope Failure ◽  
Transport Model ◽  
Computational Cost ◽  
Measurement Data ◽  
Bank Failure ◽  
Total Load ◽  
Model Based ◽  
Sediment Transport Model ◽  
Non Equilibrium

Complex transport mechanism and interaction between fluid and sediment make the mathematical and numerical modeling of sediment transport very challenging. Different types of models can lead to different results. This paper investigates a non-equilibrium sediment transport model based on the total load. In this type of model, it is assumed that a bed slide will occur if the bed slope reaches a critical angle. This is enabled by means of a slope failure operator. Existing slope failure operators usually suffer from the high computational cost and may fail at wet/dry interfaces. The main contribution of this work is the development of a novel slope failure operator for the total load transport model, based on a modified mass balance approach. The proposed approach is verified in three test cases, involving bank failure, dyke overtopping and a two-dimensional bank failure. It is shown that the proposed approach yields good agreement with analytical results and measurement data.

Sign in / Sign up

Export Citation Format

Share Document