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Process control using reliability based control charts

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
PL
Abstrakty
EN
Purpose: The paper presents the method to monitor the mean time between failures (MTBF) and detect any change in intensity parameter. Here, a control chart procedure is presented for process reliability monitoring. Control chart based on different distributions are also considered and were used in decision making. Results and discussions are presented based on the case study at different industries. Design/methodology/approach: The failure occurrence process can be modeled by different distributions like homogeneous Poisson process, Weibull model etc. In each case the aim is to monitor the mean time between failure (MTBF) and detect any change in intensity parameter. When the process can be described by a Poisson process the time between failures will be exponential and can be used for reliability monitoring. Findings: In this paper, a new procedure based on the monitoring of time to observe r failures is also proposed and it can be more appropriate for reliability monitoring. Practical implications: This procedure is useful and more sensitive when compared with the λ-chart although it will wait until r failures for a decision. These charts can be regarded as powerful tools for reliability monitoring. λr gives more accurate results than λ-chart. Originality/value: Adopting these measures to system of equipments can increase the reliability and availability of the system results in economic gain. A homogeneous Poisson process is usually used to model the failure
Rocznik
Strony
498--504
Opis fizyczny
Bibliogr. 9 poz., wykr.
Twórcy
autor
  • Department of Mechanical Engineering, School of Engineering, Cochin University of Science and Technology,Cochin, Kerala, India, pssreejith@cusat.ac.in.pl
Bibliografia
  • [1] D. Kumar, B. Klefsjo, U. Kunar, Reliability analysis of power-transmission cables of electric loaders using a proportional-hazard model, Reliability Engineering and System Safety 37/2 (1992) 17-22.
  • [2] P. E. Barringer Reliability engineering principles, Barringer and Associates, Humble, TX 77347, hpaul@barringer.com 2000.3.
  • [3] D. Warburton, J. E. Strutt, K. Allsop, Reliability-prediction procedures for mechanical components at design stage, Proceedings of the Institution of Mechanical Engineers 212/Part E (1998) 213-24.
  • [4] P. E. Barringer, P. D. Weber, Life-cycle cost. proceedings of the 5th International Conference on Process-plant Reliability, Maarriost Houston Westside, Houston, Texas, 1996.
  • [5] L. Y. Chan, M. Xie, T. N. Goe, Cumulative control charts for monitoring production process, International Journal of Production Research 38/2 (2000) 397-408.
  • [6] J. G. Katter, J. F. Tu, L. E. Monacelli, M. Gartner, Predictive cathode maintenance of an industrial laser using statistical process control charting, Journal of Laser Applications 10/4 (1998) 161-169.
  • [7] S. H. Steiner, R. J. Mackay, Monitoring processes with data censored owing to competing risks by using exponentially weighted moving average control charts, Applied Statistics 50/3 (2001) 293-302.
  • [8] C. R. Cassady, R. O. Bowden, L. Liew, E. A. Pohl Combining preventive maintenance and statistical process control: a preliminary investigation, IIE Trans 32 (2000) 471-478.
  • [9] D. A. Haworth, Regression control charts to manage software maintenance, Journal of Software Maintenance and Evolution: Research and Practice 8/1 (1996) 35-48.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAW-0002-0048
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