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The numeric results show that all the fuzziness, system coverage factor and maintenance have a significant effect on the fuzzy availability of the crystallization system.
Analysis of fuzzy availability of crystallization system helps in increasing the production of sugar.
Fuzzy availability of the system under states 1, 2, 3, 4, 5 and 6, respectively.
The fuzzy availability of the crystallization system is computed for 1 year (i.e., time, t = 60 360 days).
Open image in new window Fig. 5 Effect of variation in the failure rate of the sugar grader subsystem on the fuzzy availability of the system.
Huang et al. (2008) addressed the fuzzy availability and fuzzy MTTF of a system with two components in series and parallel configurations.
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end{aligned}Here, (tilde{P}{(lambda _1,lambda _2,ldots,lambda _n,tau _1,tau _2,ldots,tau _n)}) and (tilde{P}{(t/lambda _1,lambda _2,ldots,lambda _n,tau _1,tau _2,ldots,tau _n)}) are time-independent (system failure rate, repair time, and MTBF) and time-dependent (system reliability, availability, and ENOF) fuzzy reliability parameters, respectively.
Pricing and availability is even fuzzier but it looks like these might be Japan-only for now.
To facilitate the comparison of results obtained by Runge Kutta method with neuro-fuzzy results, we plot the availability by both approaches in Figs. 9, 10, 11.
Chandna and Ram (2014) applied fuzzy time series to forecast the availability of a standby system incorporating waiting time to repair.
To estimate lifetime and repair time, Liu et al. (2014) used random fuzzy exponential distribution and evaluated the availability of a redundant system with non-identical repairable components.
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