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Study of the characteristics about insulation damage based on the accelerated life tests

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Warianty tytułu
PL
Badanie charakterystyk uszkodzeń izolacji w oparciu o testy przyspieszonego starzenia
Języki publikacji
EN
Abstrakty
EN
In this study the Maximum Likelihood Estimator is taken to identify the characteristics of insulation failure about the class-H motors by considering the accelerated life testing data under censored situation from Nelson. Based on the Weibull survival modeling the failure is expressed as the series connection of three modes, namely the turn, phase, and ground, respectively, the so-called competing failure. The main concern in present investigation is about the variation of shape parameters, β with the temperature. The Gompertz-type relation of βi(T) is suggested with the reference temperature, Tri for the i-th failure mode. It is found that the Tri ’s not only distinguish the characteristics of cumulative damage process about the insulation, but also involve the estimation of mean-time-to-failure (MTTF). Physically Tri denotes the turning point of varied βi as the i-th failure mode becomes moderate in a sense of less capability about the accumulation of insulation damage at higher temperature where corresponds the thermal degradation process. The numerical results indicate that the insulation technique used is acceptable as the operation temperature kept in the use condition 363K. According to the predicted lifetime as the temperature rises up to 440K, which still within the allowed range in application, the turn structure needs to be rearranged primarily, then the phase next. The ground mode has only influence on the failure at much higher temperature.
Rocznik
Strony
325--331
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
  • Department of Mechanical Engineering National Central University Taoyuan 32001, Taiwan
autor
  • Department of Mechanical Engineering National Central University Taoyuan 32001, Taiwan
Bibliografia
  • 1. Bai DS, Chun YR, Kim JG. Failure-censored Accelerated Life Tests Sampling Plans for Weibull Distribution under Expected Test Time Constraint. Reliability Engineering and System Safety 1995; 50: 61–68.
  • 2. Beyler CL, Hirschler MM. Thermal Decomposition of Polymers. The SFPE Handbook of fire protection engineering (Section 1, Chapter 7). NFPA, Quincy, MA, 1988.
  • 3. Bunea C, Mazzuchi TA. Competing Failure Modes in Accelerated Life Testing. Journal of Statistical Planning and Inference 2006; 136: 1608–1620.
  • 4. Electrical Insulation Deterioration Treated as a Chemical Rate Phenomenon. Transactions of the American Institute of Electrical Engineers 1948; 67: 113–122.
  • 5. Dempster AP, Laird NM, Rubin DB. Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society 1977; 39: 1, 1–38.
  • 6. Tai HS, Hsu CH. Kinetic Analysis of Thermal Degradation of Polypropylene Using a Modified Gompertz Model. Journal of Hazardous, Toxic, and Radioactive Waste Management 2012; 15: No. 1, 39–50.
  • 7. Karolczuk A. The probabilistic model of fatigue life estimation for structural elements with heterogeneous stress distribution. The Archive of Mechanical Engineering 2008; LV, 3: 209–221.
  • 8. Klein JP, Basu AP. Accelerated Life Test under Competing Weibull Causes of Failure, J. Commun. Statist. Theor. Meth. 1982; 11: 2271–2286.
  • 9. Kuwahara H, Sudo S, Iijima M. and Ohya S. Dielectric Properties of Thermally Degraded Chloroprene Rubber. Polymer Degradation and Stability 2010; 95: 2461–2466.
  • 10. Miller R, Nelson W. Optimum Simple Step-Stress Plans for Accelerated Life Testing. IEEE Transactions on Reliability 1983; 32: 59–65.
  • 11. Nelson W. Graphical Analysis of Accelerated Life Test Data with a Mix of Failure Modes, IEEE Transactions on Reliability 1975; R-24: 230–237.
  • 12. Nelson W. Accelerated Testing, Statistical Model, Test Plans, and Data Analyses. John Wiley & Sons, Inc., N.Y., 1990.
  • 13. Nelson W. Theory and Applications of Hazard Plotting for Censored Failure Data. Technometrics 2000; Special 40th Anniversary Issue, 42: 1, 12–25.
  • 14. Seo JH, Jung M, Kim CM. Design of Accelerated Life Test Sampling Plans with a Nonconstant Shape Parameter. European Journal of Operational Research 2006; 197: 659–666.
  • 15. Standard Test Method for Rapid Thermal Degradation of Solid Electrical insulating Materials ByThermogravimetric Method. ASTM D3850-94, reapproved in 2000.
  • 16. Tanaka T, Montanari GC. Polymer Nanocomposites as Dielectrics and Electrical Insulation-Perspectives for Processing Technologies. Material Characterization and Future Application, IEEE Transactions on Dielectrics and Electrical Insulation 2004; 11: 5, 763–784.
  • 17. Winsor CP. The Gompertz Curve as a Growth Curve. Proceedings of the National Academy of Sciences 1932; 18: 1–8.
  • 18. Zwietering MH, Jongenburger I, Rombouts FM. and VantRietK. Modelling of the bacterial growth curve. Applied andEnvironmental Microbiology 1990; 56(6): 1875–1881.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0fb2d1de-8a43-4210-a9cc-1b3e546cd09f
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