Power Quality Test Data Processing and Comprehensive Analysis Software Design

2021 ◽  
Author(s):  
Li Guoxin ◽  
Li Linyun ◽  
Yu Sizheng
Keyword(s):  
Data Processing ◽  
Power Quality ◽  
Test Data ◽  
Software Design ◽  
Comprehensive Analysis ◽  
Analysis Software ◽  
Quality Test

Design of Road Test and Evaluation System for Vehicle Handling and Stability

2014 ◽  
Vol 505-506 ◽  
pp. 281-285
Author(s):  
Ming Qiu Gao ◽  
Run Qing Guo ◽  
Rong Liang Liang
Keyword(s):  
Data Processing ◽  
Test Data ◽  
Evaluation System ◽  
Test System ◽  
Stability Test ◽  
Road Test ◽  
Vehicle Handling ◽  
Test And Evaluation ◽  
Test Result

Vehicle handling and stability has effect on positive safety of automotive directly. Test system of handling and stability is built for its road test and the test variables signal can be acquired and stored synchronously. Based on MATLAB GUI, software is developed for the test data processing, so that the stored data is to be analyzed and handling and stability test result is given by the software automatically. Using the test system in paper, handling and stability road test of one domestic sedan is fulfilled and scored, which verifies the applicability of the test system and scoring software in paper.

Design of Power Quality Management Software Based on Virtual Instrument and Oracle

2013 ◽  
Vol 427-429 ◽  
pp. 2441-2444
Author(s):  
Wei Chen ◽  
Long Chen ◽  
Ming Li
Keyword(s):  
Power Quality ◽  
Software Design ◽  
Virtual Instrument ◽  
Quality Analysis ◽  
Quality Data ◽  
Data Handling ◽  
Data Display ◽  
Report Generation ◽  
Management Capacity ◽  
Power Quality Analysis

This paper presents a software design useful for power quality analysis and data management. The software was programmed in LabVIEW and Oracle, running on Windows in a regular PC. LabVIEW acquires data continuously from the lower machine via TCP/IP. Using its database connection toolkit, LabVIEW accesses to Oracle to stores and retrieve the power quality data according to different indicators. A friendly GUI was built for data display and user operation, taking advantage of the powerful data-handling capacity of LabVIEW and its rich controls. Moreover, Excel reports can be exported using report generation toolkit in LabVIEW. The software greatly improves the data analysis and management capacity.

A Processing Method for Combined Fatigue Accelerated Test Data

2017 ◽  
Author(s):  
Songwang Zheng ◽  
Cao Chen ◽  
Lei Han ◽  
Xiaoyong Zhang ◽  
Xiaojun Yan
Keyword(s):  
Data Processing ◽  
Test Data ◽  
Turbine Blades ◽  
Processing Method ◽  
Test Time ◽  
Accelerated Test ◽  
The Real ◽  
Data Processing Method ◽  
Stress Levels ◽  
Vibration Stress

To carry out combined low and high cycle fatigue (CCF) test on turbine blades in a bench environment, it is imperative to simulate the vibration loads of turbine blades in the field. Due to the low vibration stress of turbine blades in the working state, the test time will be very long if the test vibration stress is equal to the real vibration stress in working state. Therefore, an accelerated test will be used when the test life reach the target value (typically 107). During the accelerated test, each blade is tested at two or more times than the real vibration stress. That means some specimens are tested under two vibration stress levels. In this case, a reasonable data processing method becomes very important. For this reason, a data processing method for the CCF accelerated test is proposed in this paper. These test data are iterated on the basis of S-N curve. Finally, ten real turbine blades are tested in a bench environment, one of them is tested under two vibration stress levels. The test data is processed using the method proposed above to obtain the unaccelerated life data.

scholarly journals Flutter Test Data Processing Based on Improved Hilbert-Huang Transform

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Hua Zheng ◽  
Junhao Liu ◽  
Shiqiang Duan
Keyword(s):  
Data Processing ◽  
Test Data ◽  
Model Parameters ◽  
Modal Parameter ◽  
Hilbert Huang Transform ◽  
Modal Density ◽  
Flutter Boundary ◽  
Modal Parameter Estimation ◽  
Nonstationary Conditions ◽  
Typical Mode

Flutter tests are conducted primarily for the purpose of modal parameter estimation and flutter boundary prediction, the accuracy of which is severely affected by the acquired data quality, structural modal density, and nonstationary conditions. An improved Hilbert-Huang Transform (HHT) algorithm is presented in this paper which mitigates the typical mode mixing effect via modulation. The algorithm is validated by theory, by numerical simulation, and per actual flight flutter test data. The results show that the proposed method could extract the flutter model parameters and predict the flutter speed more accurately, which is feasible for the current flutter test data processing.

scholarly journals The FAST-HEP toolset: Using YAML to make tables out of trees

2020 ◽  
Vol 245 ◽  
pp. 06016
Author(s):  
Benjamin Edward Krikler ◽  
Olivier Davignon ◽  
Lukasz Kreczko ◽  
Jacob Linacre
Keyword(s):  
Data Processing ◽  
Analysis Software ◽  
Description Language ◽  
Industry Standard ◽  
Level Data ◽  
European Group ◽  
Proof Of Principle

The Faster Analysis Software Taskforce (FAST) is a small, European group of HEP researchers that have been investigating and developing modern software approaches to improve HEP analyses. We present here an overview of the key product of this effort: a set of packages that allows a complete implementation of an analysis using almost exclusively YAML files. Serving as an analysis description language (ADL), this toolset builds on top of the evolving technologies from the Scikit-HEP and IRIS-HEP projects as well as industry-standard libraries such as Pandas and Matplotlib. Data processing starts with event-level data (the trees) and can proceed by adding variables, selecting events, performing complex user-defined operations and binning data, as defined in the YAML description. The resulting outputs (the tables) are stored as Pandas dataframes which can be programmatically manipulated and converted to plots or inputs for fitting frameworks. No longer just a proof-of-principle, these tools are now being used in CMS analyses, the LUX-ZEPLIN experiment, and by students on several other experiments. In this talk we will showcase these tools through examples, highlighting how they address the different experiments’ needs, and compare them to other similar approaches.

GENERAL FRAMEWORK FOR SIMULATING POWER QUALITY DATA PROCESSING

2021 ◽  
Author(s):  
A. Eisenmann ◽  
T. Streubel ◽  
C. Kattmann ◽  
K. Rudion
Keyword(s):  
Data Processing ◽  
Power Quality ◽  
General Framework ◽  
Quality Data

Study on Experiment Modeling of Human-Gun System

2014 ◽  
Vol 644-650 ◽  
pp. 2137-2142
Author(s):  
Jian Wang ◽  
Yan Liu ◽  
Zhi Guang Zhang ◽  
Zhan Jiang Yu ◽  
Bao Gui Wang ◽  
...  
Keyword(s):  
Parameter Identification ◽  
Dynamic Simulation ◽  
Test Data ◽  
Main Part ◽  
3D Model ◽  
Quality Test ◽  
High Quality ◽  
Model Parameter ◽  
Interaction System ◽  
Experiment Method

A new kind of human-imitate shooting platform is needed, so that the automation and standardization of small arm experiment could be realized. And the main part of shooting platform design is the modeling of human-gun interaction system. The main object of this paper is modeling human-gun interaction system by testing the model of the system. Firstly, the testing scheme is promoted for testing interaction between gun and human shoulder, and high quality test data is collected. Then, the model parameter of human-gun system is calculated by the method of model parameter identification. 3D model of human-gun system is built. At last, the dynamic simulation is made by ADAMS. And human-gun model built by experiment method is verified.

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