Statistic Correlation Algorithm for Reliability in Operation: Case Study for a Textile Process Cover Image

Statistic Correlation Algorithm for Reliability in Operation: Case Study for a Textile Process
Statistic Correlation Algorithm for Reliability in Operation: Case Study for a Textile Process

Author(s): Adrian Vilcu, Ion Verzea, Ionut Viorel Herghiligiu, Marius PISLARU
Subject(s): Social Sciences, Education
Published by: Carol I National Defence University Publishing House
Keywords: textile technological process; statistic modeling; reliability in operation; correlation statistics; statistic distribution; educational software;

Summary/Abstract: Reliability in operation (RO) of the technical device is logically ensured through a design scheme in device construction stages, through a rightfully elaborated technology accomplished through an adequately organized exploitation system. That is why one cannot separate the task of providing a reliable operation, from the problems of designing the device, organizing the production and its exploitation. The RO estimation requires objective precise criteria and with this purpose in mind, one resorted to a probabilistic approach of the RO problem applied to a quantitative investigation of the technical systems. This approach resulted from the classical definition of RO, its meaning being the probability of operation within a time interval. Complementary to this definition, one defines another element of RO, namely devices shutdown, characteristic that can be examined as a series of random events. The random character of the breakdown event is related to the insufficient or erroneous character of the real known information about the events that generate it. The researches carried out until now about the statistic evaluations of experimental data led to the conclusion that the stage that correlates statistically the experimental data with theoretical distributions was slipped over, because there is no generally applicable algorithm for this stage of the analysis of reliability in operation. This leads to the necessity of a new algorithmic approach for the solution of this problem. The general objective of our research consists in designing a statistical procedure for the correlation of the two distributions: experimental and theoretic. In this connection, we propose an integrated software application that determines, based on statistic coefficients, the type of experimental distribution of a series of values, quantitatively determined from the study of a technical textile system. The work one defines the problem of reliable operation management, applies the quantitative study to a system belonging to the field of textile spinning (one determines the time of reliable operation and the mean intensity of the technical system failures during a prescribed time horizon). The work also proposes the correlation algorithm, determines mathematically the statistic test coefficients and draws the conclusions.

  • Issue Year: 14/2018
  • Issue No: 03
  • Page Range: 214-221
  • Page Count: 8
  • Language: English