A Continuous System Model of Adrenocortical Function

1968 ◽  
pp. 141-184 ◽  
Author(s):  
F. E. Yates ◽  
R. D. Brennan ◽  
J. Urquhart ◽  
M. F. Dallman ◽  
C. C. Li ◽  
...  
Keyword(s):  
Continuous System ◽  
System Model ◽  
Adrenocortical Function

scholarly journals Effect of System Parameters on Natural Frequency of the Pelton Turbine

2018 ◽  
Vol 4 ◽  
pp. 75-81
Author(s):  
Laxman Motra ◽  
Sanjeev Karki
Keyword(s):  
Natural Frequency ◽  
Rotational Speed ◽  
Turbine Unit ◽  
Continuous System ◽  
System Model ◽  
System Parameters ◽  
Pelton Turbine ◽  
Backward Whirl

The effect of diameter, length and rotational speed of shaft, and mass of runner-buckets assembly on the natural frequency of the Pelton turbine unit was analyzed. Effect of the decisive parameters on the natural frequency of the unit showed that it was directly proportional to the diameter of the shaft and inversely proportional to the length of the shaft and mass of the runner-buckets assembly. For the continuous system model, when the rotational speed of the shaft increased, the natural frequency for the forward whirl also increased but the natural frequency decreased for the backward whirl.

Critical Speeds of Geared Rotors by Including Mesh Stiffness and Using a Continuous System Model

1990 ◽  
Author(s):  
O. Sedat Sener ◽  
H. Nevzat Ozguven
Keyword(s):  
Dynamic Analysis ◽  
High Speed ◽  
Natural Frequencies ◽  
Continuous System ◽  
Transmission Error ◽  
System Model ◽  
Graphical Form ◽  
Critical Speeds ◽  
Gear Mesh ◽  
Dynamic Factors

Abstract Dynamic analysis of high speed gearing for the computation of critical speeds and dynamic factors is a must in a proper design, while some other dynamic characteristics of the system such as dynamic transmission error are to be determined for more critical designs. Numerous different models have been suggested for the dynamic analysis of geared systems. These models differ both in the effects included and in the basic assumptions made. A continuous system model is used in this analysis in order to determine the torsional natural frequencies of a gear shaft system composed of two gears, two shafts and two inertias representing the drive and the load. Gear mesh is modelled as a spring connected between two gears. The natural frequencies of the same system are also calculated by using a four degree of freedom classical discrete model in which shaft masses are ignored. The percentage differences in the natural frequencies calculated with the discrete and continuous system models are determined for several values of some nondimensional system parameters. The results are presented in graphical form in terms of the nondimensional parameters defined. Some conclusions which may be important for designers are drawn.

The Demonstration of the Generalized Kalman Filter

2014 ◽  
Vol 490-491 ◽  
pp. 719-722
Author(s):  
Ming Zhan Zhao ◽  
Jie Yue ◽  
Chun Mei Du
Keyword(s):  
Kalman Filter ◽  
Linear Model ◽  
Generalized Linear Model ◽  
Minimum Mean Square Error ◽  
Continuous System ◽  
Recursive Formula ◽  
System Model ◽  
Mean Square ◽  
On Line ◽  
Generalized Kalman Filter

The generalized Kalman filter (GKF) is a method which is based on a generalized linear model. The coefficients of the linear model are fixed, and are not needed to be distinguished on-line or predefined. The GKF can be used to estimate the real-time estate of the continuous system, especially; the GKF can be used to estimate the estate of the mobile objective. The GKF is based on the minimum mean-square error. The recursive formula of the generalized kalman filter was also presented. Different from the EKF published on the magazines, the GKF doesn’t need to build the system model, so its ability of calculate and accuracy is improved.

Dynamic Analysis of Geared Shaft Systems By Using a Continuous System Model

1993 ◽  
Vol 166 (3) ◽  
pp. 539-556 ◽  
Author(s):  
Ö.S. Şener ◽  
H.N. Özgüven
Keyword(s):  
Dynamic Analysis ◽  
Continuous System ◽  
System Model

Changes in Adrenocortical Function with Aging and Therapeutic Implications

1999 ◽  
Vol Volume 17 (Number 4) ◽  
pp. 0327-0338 ◽  
Author(s):  
Andrew J. Harper ◽  
John E. Buster ◽  
Peter R. Casson
Keyword(s):  
Adrenocortical Function ◽  
Therapeutic Implications
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