Confluent-analysis algorithm for processing measurement data in calibrating means of measurement

1990 ◽  
Vol 33 (6) ◽  
pp. 537-542
Author(s):  
A. B. Isaev
Keyword(s):  
Measurement Data ◽  
Analysis Algorithm ◽  
Means Of Measurement ◽  
Processing Measurement ◽  
Confluent Analysis

Application of Clustering Analysis Algorithm in Sorting Stochastic Vibration Environment Measured Data

2011 ◽  
Vol 52-54 ◽  
pp. 1433-1437
Author(s):  
Hai Juan Chang ◽  
Jian Jun Zhang ◽  
Shu Zhu
Keyword(s):  
Clustering Analysis ◽  
Traditional Method ◽  
Measurement Data ◽  
Measured Data ◽  
Inductive Method ◽  
Measurement Technology ◽  
Analysis Algorithm ◽  
Stochastic Vibration ◽  
Vibration Data ◽  
Environment Measurement

Environment measurement technology of aircraft platform is the foundation of environment prediction, while inductive technology of environment measurement data is the support of environment prediction. To analysis how the vibration of different channel and in different position affect the equipment on board, it’s awfully needed to classify the vibration data of aircraft platform according to how was the aircraft flying and where was the sensor placed. However, the traditional method for categorizing gives the sort first, and then make certain if one sample belongs to this category, which is easy to withstand the influence of man-made factors. As it hard to fix the categories first for the vibration on aircraft platform, we put forward using clustering analysis into the categorizing of vibration measured data to eliminate the influence of man-made factors. This method is the improvement of the current inductive method for vibration environment measured data.

scholarly journals A Novel Stochastic Approach for Static Damage Identification of Beam Structures Using Homotopy Analysis Algorithm

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2366
Author(s):  
Zhifeng Wu ◽  
Bin Huang ◽  
Kong Fah Tee ◽  
Weidong Zhang
Keyword(s):  
Measurement Errors ◽  
Damage Identification ◽  
Measurement Data ◽  
Beam Structures ◽  
Analysis Algorithm ◽  
Static Measurement ◽  
Homotopy Analysis ◽  
Identification Approach ◽  
Stochastic Damage ◽  
Modelling Error

This paper proposes a new damage identification approach for beam structures with stochastic parameters based on uncertain static measurement data. This new approach considers not only the static measurement errors, but also the modelling error of the initial beam structures as random quantities, and can also address static damage identification problems with relatively large uncertainties. First, the stochastic damage identification equations with respect to the damage indexes were established. On this basis, a new homotopy analysis algorithm was used to solve the stochastic damage identification equations. During the process of solution, a static condensation technique and a L1 regularization method were employed to address the limited measurement data and ill-posed problems, respectively. Furthermore, the definition of damage probability index is presented to evaluate the possibility of existing damages. The results of two numerical examples show that the accuracy and efficiency of the proposed damage identification approach are good. In comparison to the first-order perturbation method, the proposed method can ensure better accuracy in damage identification with relatively large measurement errors and modelling error. Finally, according to the static tests of a simply supported concrete beam, the proposed method successfully identified the damage of the beam.

scholarly journals Measurement Data Processing with the Use of Art Networks

2018 ◽  
Vol 28 (2) ◽  
pp. 186-195
Author(s):  
Maria Mrówczyńska ◽  
Jacek Sztubecki
Keyword(s):  
Measurement Data ◽  
Strong Impact ◽  
Resonance Theory ◽  
Adaptive Resonance ◽  
Control Networks ◽  
Vertical Displacements ◽  
Processing Measurement ◽  
And Control ◽  
Measurement And Control

Abstract ART (Adaptive Resonance Theory) networks were invented in the 1990s as a new approach to the problem of image classification and recognition. ART networks belong to the group of resonance networks, which are trained without supervision. The paper presents the basic principles for creating and training ART networks, including the possibility of using this type of network for solving problems of predicting and processing measurement data, especially data obtained from geodesic monitoring. In the first stage of the process of creating a prediction model, a preliminary analysis of measurement data was carried out. It was aimed at detecting outliers because of their strong impact on the quality of the final model. Next, an ART network was used to predict the values of the vertical displacements of points of measurement and control networks stabilized on the inner and outer walls of an engineering object.

scholarly journals Universality of the Top-Level Software Structure for Noninvasive Spectrophotometric Diagnostic Devices

2019 ◽  
pp. 104-115
Author(s):  
A.P. Tarasov ◽  
D.A. Rogatkin
Keyword(s):  
Level Structure ◽  
Measurement Data ◽  
Modular Structure ◽  
Textual Information ◽  
Software Structure ◽  
Processing Measurement

The paper justifies the possibility of creating software with a universal top-level structure using LabVIEW for noninvasive spectrophotometric diagnostic devices. To attain these ends it is proposed to use a modular structure of the program where specialized modules directly associated with measurements and processing measurement data work independently of common modules designed for working with service textual information and databases, and having no strong differences for different noninvasive medical spectrophotometry methods

scholarly journals Triangulation methods for effusion holes measurements in combustion chambers of aircraft engines

Mechanik ◽  
2017 ◽  
Vol 90 (12) ◽  
pp. 1164-1168
Author(s):  
Piotr Lampa ◽  
Mariusz Mrzygłód ◽  
Jacek Reiner
Keyword(s):  
Measurement Data ◽  
Small Diameter ◽  
Measurement Methods ◽  
Aircraft Engines ◽  
Combustion Chambers ◽  
Engine Combustion ◽  
Processing Measurement ◽  
Aero Engines ◽  
Combustor Liner

An important problem of modern aero-engines’ construction is effective cooling of combustor liner attained by effusion holes. The laser-drilled channels are a critical metrological challenge resulting from their small diameter (below 1 mm), irregular shape and angular orientation to the surface. Hence, in this case, the tactile CMM measurement methods are timeconsuming, error-susceptible and hazardous to the measuring stylus. The paper compares two methods of triangulation scanning of the surface of the engine combustion chamber with angular effusion holes (according to normal to surface and coaxially with hole). Additionally, four algorithms for processing measurement data were developed and evaluated, aiming at determination of the position and holes diameter. The paper also discusses the problem of measurement and calculation disturbance.

scholarly journals Parallel kd-Tree Based Approach for Computing the Prediction Horizon Using Wolf’s Method

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
J. J. Águila ◽  
E. Arias ◽  
M. M. Artigao ◽  
J. J. Miralles
Keyword(s):  
Dynamical System ◽  
Time Series ◽  
Lyapunov Exponent ◽  
Measurement Data ◽  
Original System ◽  
Model Parameters ◽  
Maximal Lyapunov Exponent ◽  
Science And Engineering ◽  
Prediction Horizon ◽  
Means Of Measurement

In different fields of science and engineering, a model of a given underlying dynamical system can be obtained by means of measurement data records called time series. This model becomes very important to understand the original system behaviour and to predict the future values of that system. From the model, parameters such as the prediction horizon can be computed to obtain the point where the prediction becomes useless. In this work, a new parallel kd-tree based approach for computing the prediction horizon is presented. The parallel approach uses the maximal Lyapunov exponent, which is computed by Wolf’s method, as an estimator of the prediction horizon.

scholarly journals The algorithm for processing measurement data of attenuation of optical radiation by nanoparticles

2016 ◽  
Vol 21 (3) ◽  
pp. 83-87
Author(s):  
N. Kokodii ◽  
◽  
V. Timaniuk ◽  
E. Levitin ◽  
M. Kaydash ◽  
...  
Keyword(s):  
Optical Radiation ◽  
Measurement Data ◽  
Processing Measurement
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