A MODEL-BASED APPROACH FOR DETERMINING DATA QUALITY METRICS IN COMBUSTION PRESSURE MEASUREMENT

被引:1
|
作者
Rogers, D. R. [1 ]
Mason, B. A. [2 ]
Pezouvanis, A. [2 ]
Ebrahimi, M. K. [2 ]
机构
[1] AVL List GMBH, Graz, Austria
[2] Univ Bradford, Sch Engn & Informat, Bradford BD7 1DP, W Yorkshire, England
关键词
Combustion measurement; Combustion pressure; Data quality; Error simulation; Internal combustion; Modeling; Result calculation; Simulation;
D O I
10.1080/00102202.2014.958222
中图分类号
O414.1 [热力学];
学科分类号
摘要
Measuring and monitoring the cylinder pressure in relation to the instantaneous cylinder volume allows the engineer to gain a great deal of information about the quality and efficiency of the energy conversion process taking place inside the cylinder. Many useful metrics can be derived or extracted from the pressure curve and these parameters are well established. This article forms the basis to propose a set of basic combustion data metrics that can be used to establish the quality of measured data. The proposed indicators can be used to establish fitness for purpose of the proposed system set-up for various measurement applications, prior to undertaking the critical measurement task. In addition, these metrics can be used or monitored during system run time, to ensure consistent data quality throughout short-or long-term test procedures, in addition to allowing identification of measurement drift or step change factors that could affect data quality over time. This article shows the application of DoE-based testing and a model-based approach in order to establish the response of newly developed metrics when stimulated with target error variations. The output could be used to understand the variation and interactions of the newly developed metrics, and also to understand if they would be usable for the application suggested. It was found that not all of the results that were tested could be utilized, but the test and measurement environment, plus the unique application of model-based testing, facilitated an efficient working environment to support future development work.
引用
收藏
页码:627 / 641
页数:15
相关论文
共 50 条
  • [1] Model-Based Approach for Evaluation of Pooled Measurement Data
    Chunovkina, A. G.
    2017 11TH INTERNATIONAL CONFERENCE ON MEASUREMENT, 2017, : 3 - 8
  • [2] Towards a Model-based Fuzzy Software Quality Metrics
    Masmali, Omar
    Badreddin, Omar
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING AND SOFTWARE DEVELOPMENT (MODELSWARD), 2020, : 139 - 148
  • [3] A model-based data mining approach for determining the domain of validity of approximated models
    Quaglio, Marco
    Fraga, Eric S.
    Cao, Enhong
    Gavriilidis, Asterios
    Galvanin, Federico
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2018, 172 : 58 - 67
  • [4] A model-based approach to object-oriented software metrics
    Hong Mei
    Tao Xie
    Fuqing Yang
    Journal of Computer Science and Technology, 2002, 17 : 757 - 769
  • [5] A model-based approach to object-oriented software metrics
    Mei, H
    Xie, T
    Yang, FQ
    JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2002, 17 (06) : 757 - 769
  • [6] A Model-Based Approach for Retrospective Analysis of Enterprise Architecture Metrics
    Bhat, Manoj
    Reschenhofer, Thomas
    Matthes, Florian
    ENTERPRISE INFORMATION SYSTEMS (ICEIS 2015), 2015, 241 : 595 - 611
  • [7] Model-based Approach to Measuring Quality of Experience
    Gong, Yan
    Yang, Fangchun
    Huang, Lin
    Su, Sen
    2009 FIRST INTERNATIONAL CONFERENCE ON EMERGING NETWORK INTELLIGENCE (EMERGING 2009), 2009, : 29 - +
  • [8] Normalizing bead-based microRNA expression data: a measurement error model-based approach
    Wang, Bin
    Wang, Xiao-Feng
    Xi, Yaguang
    BIOINFORMATICS, 2011, 27 (11) : 1506 - 1512
  • [9] An Approach for Determining the Number of Clusters in a Model-Based Cluster Analysis
    Akogul, Serkan
    Erisoglu, Murat
    ENTROPY, 2017, 19 (09):
  • [10] A MODEL-BASED ANOMALY DETECTION APPROACH FOR ANALYZING STREAMING AIRCRAFT ENGINE MEASUREMENT DATA
    Simon, Donald L.
    Rinehart, Aidan W.
    PROCEEDINGS OF THE ASME TURBO EXPO: TURBINE TECHNICAL CONFERENCE AND EXPOSITION, 2014, VOL 6, 2014,