Skip to main content
SpringerLink
Log in

Analysis Methodologies

  • Chapter
Reliability Data Banks

Abstract

As indicated in Chapter 2, assumptions made in the design of the data base, such as a restriction to a fault-count structure, severely affect the analysis of data. Further, the validity of any analysis that is possible is dubious if the assumptions are not valid. In this chapter we discuss both the analysis methods that can be applied in various circumstances and the investigation of the validity of the assumptions on which they are based.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. British Standard BS 5760, Reliability of Systems, Equipments and Components. British Standards Institution, London.

    Google Scholar 

  2. Billington R. & Allen, R. N., Reliability Evaluation of Engineering Systems, 1982.

    Google Scholar 

  3. Mann N. R., Schafer, R. E. & Singpurwalla, N. D., Methods for Statistical Analysis of Reliability and Life Data. John Wiley, New York, 1974.

    Google Scholar 

  4. Johnson L. G., The median ranks of sample values in their population with an application to certain fatigue studies. Ind. Math., 2 (1951) 1–6.

    Google Scholar 

  5. Ferrell E. B., Probability paper for plotting experimental data. Ind. Quality Control, XV(1) (1958).

    Google Scholar 

  6. Bompas-Smith, J. H., Mechanical Survival: The Use of Reliability Data. McGraw-Hill, New York, 1973.

    Google Scholar 

  7. Nelson W., Hazard plotting for incomplete failure data. J. Quality Technol, 1(1) (1969).

    Google Scholar 

  8. Kao, J. H. K., Graphical estimation of mixed Weibull parameters in life testing of electron tubes. Technometrics, 1 (1959) 389–407.

    Article  Google Scholar 

  9. Kao, J. H. K., A summary of some new techniques on failure analysis. Proc. 6th Nat. Symp. Reliab. Quality Control in Electronics, 1960, pp. 190–20

    Google Scholar 

  10. King, J. R., Probability Charts for Decision Making. Industrial Press, 1971.

    Google Scholar 

  11. Kimball B. F., On the choice of plotting positions on probability paper. J. Am. Statist. Assoc, 55 (1960) 546–560.

    Article  Google Scholar 

  12. Hinds P. R., Newton, D. W. & Jardine, A. K. S., Problems of Weibull parameter estimation from small samples. National Reliability Conf., Nottingham. National Centre of Systems Reliability (UKAEA), 1977, NRC 5/3/1-32.

    Google Scholar 

  13. Walls A. & Bendell A., Human factors and sampling variation in graphical identification and testing for the Weibull distribution. Reliab. Engng (1984).

    Google Scholar 

  14. Lomnicki Z. A., Some aspects of the statistical approach to reliability (with discussion). J. R. Statist. Soc, B, 136 (1973) 395–419.

    Google Scholar 

  15. Walls L. A., & Bendell A., The structure and exploration of reliability field data; what to look for and how to analyse it. Proc. 5th Nat. Reliab. Conf., 1985, 5B/5/1-17.

    Google Scholar 

  16. Bendell A. & Walls L. A., Exploring reliability data. Quality Reliab. Engng Int., 1 (1985) 37–52.

    Article  Google Scholar 

  17. Bendell A., New methods in reliability analysis. Proc. Euroconf., Copenhagen, 1986.

    Google Scholar 

  18. Lawless J. F., Statistical methods in reliability (with discussion). Technometrics, 25 (1983) 305–355.

    Article  Google Scholar 

  19. Duane J. T., Learning curve approach to reliability. IEEE Trans. Aerospace (1964) 563–566.

    Google Scholar 

  20. Crow L. H., On tracking reliability growth. Proc. Annual Reliability and Maintainability Symp., 1975, pp. 438–443.

    Google Scholar 

  21. Singpurwalla N. D., Estimating reliability growth (or deterioration) using time series analysis. Naval Res. Logistics Quart., 25 (1978) 1–4.

    Article  Google Scholar 

  22. Singpurwalla N. D., Analysing availability using transfer function models and cross-spectral analysis. Naval Res. Logistics Quart., 27 (1980).

    Google Scholar 

  23. Singpurwalla N. D., & Soyer R., Assessing (software) reliability growth using a random coefficient autoregressive process and its ramifications. IEEE Trans. Software Engng, SE-11 (1985) 1456–1464.

    Article  Google Scholar 

  24. Walls L. A., & Bendell A., Time series methods in reliability. Proc. 9th ARTS, Bradford, April 1986 (to appear in Reliab. Engng).

    Google Scholar 

  25. Buckland, W R., Reliability of nuclear power plants. Statistical techniques for analysis. Task Force on Problems of Rare Events in the Reliability of Nuclear Power Plants. Commission of the European Communities, Joint Research Centre, Ispra, 8-10 June 1976, CSNI Rep. 10, 1976.

    Google Scholar 

  26. Libberton G. P., Bendell A., Walls L. A., & Cannon A. G., Reliability data collection and analysis for automatic fire detection systems on a large industrial site. Proc. Seminar on Data Collection and Analysis for Reliability Assessment. Inst. Mech. Engrs, 1986.

    Google Scholar 

  27. Kalbfleisch, J. D. & Prentice, R. L., The Statistical Analysis of Failure Time Data. John Wiley, Chichester, 1980.

    Google Scholar 

  28. Wightman, D. W & Bendell A., The practical application of proportional hazards modelling. Reliab. Engng, 15 (1986) 29–55.

    Article  Google Scholar 

  29. Colombo A. G., & Saracco O., Bayesian estimation of the time-independent failure rate of an item, taking into account its quality and operational constraints. Proc. 4th EuReDatA Conf., 1983.

    Google Scholar 

  30. Crow L. H., & Singpurwalla N. D., An empirically derived Fourier series model for describing software failures. IEEE Trans. Reliab., R-33 (1984) 176–183.

    Article  Google Scholar 

  31. Cox D. R., Regression models and life-tables (with discussion). J. R. Statist. Soc, B, 34 (1972) 187–220.

    Google Scholar 

  32. Bendell A., Proportional hazards modelling in reliability assessment. Reliab. Engng, 11 (1985) 175–183.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mathematics, Statistics and Operational Research, Nottingham Polytechnic, Burton Street, Nottingham, NG1 4BU, UK

    A. Bendell

Authors
  1. A. Bendell
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. 2 Colletts Close, Corfe Castle, Dorset, BH20 5HG, UK

    A. G. Cannon

  2. Department of Mathematics, Statistics and Operational Research, Nottingham Polytechnic, Burton Street, Nottingham, NG1 4BU, UK

    A. Bendell

Rights and permissions

Reprints and permissions

Copyright information

© 1991 ELSEVIER SCIENCE PUBLISHERS LTD

About this chapter

Cite this chapter

Bendell, A. (1991). Analysis Methodologies. In: Cannon, A.G., Bendell, A. (eds) Reliability Data Banks. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3858-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-94-011-3858-1_3

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-85166-513-6

  • Online ISBN: 978-94-011-3858-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation