New PDF release: Reliability and Availability of Quality Control Based on

By Ivica Kuzmanić, Igor Vujović

This brief booklet offers a framework for assessing the reliability and availability of visible qc structures, putting specific emphasis on wavelet-based research. It provides experimental effects touching on the sensitivity of visible qc to noise, for example of dependencies. The influencing parameters are analyzed and integrated within the reliability version. those parameters are divided among the software program and the crew, with one representing a mixture of software program and undefined, and one other representing a mix of and environmental stipulations. In ultimate, the publication indicates power replacement methods and examines method availability and reliability versions, in addition to calculations in their solutions.

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3. 1 shows original experimental results for the used algorithm. It is analyzed how Gaussian, Salt & Pepper and Speckle noise influence the algorithm performance and tolerance to the error. 167 %) and the lowest to the Salt & Pepper noise. Hardware and software influencing parameters were discussed in Chap. 4. Analysis of relationships between influencing parameters was taken into account when developing model for reliability and model for availability. Analytical results of the system of differential equations are obtained in Matlab for reliability case.

E. 115). 65), we have: 0:05 ¼ C Á e6b ðA:66Þ 0:115 ¼ C Á e8b ðA:67Þ and When solving the system of two equations with two unknowns, we get: C ¼ 0:05 Á eÀ6b ðA:68Þ 0:115 ¼ 0:05 Á eÀ6b Á e8b ¼ 0:05 Á e2b ðA:69Þ and The solutions for unknown parameters of the function are: b ¼ 0:5 Á lnð0:115=0:05Þ ¼ 0:41645 ðA:70Þ C ¼ 0:00411 ðA:71Þ and Appendix Fig. 4 Graphs for solutions in simplified case: from PS0 (a) to PSF (j) 59 60 Appendix Fig. 4 (continued) The final form of the solution for exponential expression is: PSF ¼ 4:11 Á e0:41645Át Á 10À3 ðA:72Þ Similar can be executed for all availability functions (probabilities).

Namely, simulation time in Simulink is not the same as in real availability functions. In reality, seconds could be days, months or even years. The second case is closer to reality, but the exact real-world values should still be obtained from the manufacturer. Appendix 61 Fig.

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