Application of Statistical Methods to Analyze the Quality of Electronic Circuits Assembly

被引:1
|
作者
Gorecki, Krzysztof [1 ]
Kowalke, Wojciech [2 ]
机构
[1] Gdynia Maritime Univ, Fac Elect Engn, Dept Marine Elect, Morska 81-87, PL-81225 Gdynia, Poland
[2] Flextron Int Poland Sp zoo, Malinowska 28, PL-83100 Tczew, Poland
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 24期
关键词
quality; ISO standards; Six Sigma; RF networks; assembly process; thermal parameters; measurements; 6; SIGMA; THERMAL PARAMETERS; TEMPERATURE;
D O I
10.3390/app122412694
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Featured Application The presented results can be applied in the analysis of properties of the assembly process of RF networks. The paper discusses selected statistical methods enabling the effective assessment of the influence of selected factors on the efficiency of the assembly process of RF systems. The considerations were carried out on the example of the investigations into the influence of the size of the voids appearing in the soldering area of RF power transistors on the value of selected electrical parameters of these devices in a considered electronic module. Selected quality tools were described and additional analyses were performed using the Six Sigma methodology and the Minitab application. With the use of the QFD (Quality Function Deployment) method and the HoQ (House of Quality) tool, all the relevant output quantities of the tested system and its components were defined. The obtained results of statistical analyses allow determining the existing correlations between particular quantities, which include, among others, the temperature of the transistor case, the size of the void spaces in the soldering area or the location of transistors on the PCB (Printed Circuit Board). From the performed investigations, it is clear that no correlation between the void size and the thermal resistance of the tested transistors was observed.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Quality experiences in aerospace electronic assembly
    Murthy, PBVR
    Prasad, R
    DEFENCE SCIENCE JOURNAL, 2006, 56 (01) : 81 - 86
  • [42] New prototype assembly methods for biosensor integrated circuits
    Graham, Anthony H. D.
    Bowen, Chris R.
    Surguy, Susan M.
    Robbins, Jon
    Taylor, John
    MEDICAL ENGINEERING & PHYSICS, 2011, 33 (08) : 973 - 979
  • [43] REVERSIBLE LINE - STATISTICAL COMPARISON OF 2 METHODS OF MEASUREMENT - APPLICATION TO ELECTRONIC PARTICLE COUNTERS
    SALMON, D
    CARTRON, J
    GIARD, MH
    GREMY, F
    HAUTENAU.M
    JULLIEN, AM
    SALMON, C
    EUROPEAN JOURNAL OF CLINICAL AND BIOLOGICAL RESEARCH, 1970, 15 (10): : 1132 - +
  • [44] USE OF STATISTICAL METHODS IN THE CERTIFICATION TESTS OF INTEGRATED CIRCUITS
    Tomashevskiy, O. V.
    Pogosov, V. V.
    Snizhnoy, G. V.
    RADIO ELECTRONICS COMPUTER SCIENCE CONTROL, 2009, 1 : 38 - 41
  • [45] Application of statistical methods in physiology
    Dunn, HL
    PHYSIOLOGICAL REVIEWS, 1929, 9 (02) : 275 - 398
  • [46] Statistical Methods in Assembly Quality Management of Multi-Element Products on Automatic Rotor Lines
    Pries, V. V.
    Proskuriakov, N. E.
    METROLOGY, STANDARDIZATION, QUALITY: THEORY AND PRACTICE, (MSQ-2017), 2018, 998
  • [47] Application of statistical classification methods for predicting the acceptability of well-water quality
    Cameron, Enrico
    Pilla, Giorgio
    Stella, Fabio A.
    HYDROGEOLOGY JOURNAL, 2018, 26 (04) : 1099 - 1115
  • [48] THE APPLICATION OF STATISTICAL-METHODS
    ROLSTADAS, A
    PRODUCTION PLANNING & CONTROL, 1994, 5 (06) : 511 - 511
  • [49] STATISTICAL DISTRIBUTION MODELING - FUNCTION, METHODS AND APPLICATION TO AIR-QUALITY MANAGEMENT
    JUN, B
    JAKEMAN, AJ
    TAYLOR, JA
    MATHEMATICS AND COMPUTERS IN SIMULATION, 1988, 30 (1-2) : 3 - 9
  • [50] Evaluation of A Medical Records Archive through the Application of Statistical Methods for Quality Control
    Asensio Villahoz, Paula
    Vicente Virseda, Juan Antonio
    REVISTA ESPANOLA DE SALUD PUBLICA, 2011, 85 (04): : 391 - 404