Sentence examples for coefficient of speed from inspiring English sources

The coefficient of speed plays a greater role of action in case of machine M2, which explains the 45.5 % incidence of non-conforming than machine M1 (R2 = 18.9 %).

The dependences analysis between the non-conformities level (PN) and downtime (TP), breakdown time (TA), coefficient of operation (WE), coefficient of speed (WPD), coefficient of useful operating time (UCD) and coefficient of utilization (WW) are shown in Table 4.

The analysis of Fig. 3 shows that for both analyzed machines there are: significant positive correlations between the downtime (TP), breakdown time (TA), forms breakdown (TAF) and the non-conformity level (PN), significant negative correlation between the coefficient of operation (WE), coefficient of speed (DPN), coefficient of utilization (WW) and the level of castings non-conformities (PN).

significant positive correlations between the downtime (TP), breakdown time (TA), forms breakdown (TAF) and the non-conformity level (PN), significant negative correlation between the coefficient of operation (WE), coefficient of speed (DPN), coefficient of utilization (WW) and the level of castings non-conformities (PN).

The impacts of individual factors of TPM: breakdown time (TA), downtime (TP), coefficient of operation (WE), coefficient of utilization (WW), the coefficient of speed (WPD), the useful operating time, time of accident forms (TAF) and the time machine failure (TAM) on the level of quality (BS represented as the level of non-conformity) are presented in the form of the correlation graph (Fig. 3).

(C ) Coefficients of speed and weight for basic stride parameters.

A capacity value is introduced which relates AEP to an integral function of the rated wind speed using Weibull distribution of wind speeds and the constant power coefficient of variable speed wind turbines.

The experimental results show the effects on the discharge coefficient of rotational speed, flow rate, and co- and contra-rotations of the shaft relative to the discs.

In this paper, a Takagi Sugeno (T S) fuzzy system is designed to determine the contribution coefficient of variable speed wind turbine in such a way that variable wind turbine shares the maximum value of its inertia to compensate the reduced production in the power grid.

If the retail rate is above its equilibrium value after a decrease in the monetary policy rate, then the retail rate will adjust by the coefficient of the speed of adjustment above τ in every period.

Conversely, if the retail rate is below its equilibrium value after an increase in the monetary policy rate, then the lending rate will adjust by the coefficient of the speed of adjustment below τ in every period.