THE OPTIMIZATION TECHNIQUE-BASED BALANCING OF FLEXIBLE ROTORS WITHOUT TEST RUNS

2000 ◽  
Vol 238 (5) ◽  
pp. 877-892 ◽  
Author(s):  
B. XU ◽  
L. QU ◽  
R. SUN
1984 ◽  
Vol 106 (2) ◽  
pp. 163-169
Author(s):  
J. L. Yang ◽  
F. H. Chu ◽  
Ting W. Lee

This paper presents a new approach to the dynamic balancing of flexible rotors. The unbalance of a rotor is treated as a combination of a number of discrete unbalancing components, which are identified and subsequently removed using an effective heuristic optimization technique. The method allows the treatment of nonlinear rotor response and design constraints. A specific example is used to illustrate the approach and the results are compared with the ones obtained using another optimum balancing technique.


2011 ◽  
Vol 131 (4) ◽  
pp. 654-666
Author(s):  
Qingliang Zhang ◽  
Takahiro Ueno ◽  
Noboru Morita

Author(s):  
Krishna Rudraraju Chaitanya ◽  
P. Mallikarjuna Rao ◽  
K. V. S. N. Raju ◽  
G. S. N. Raju

Author(s):  
. Geetanjli

The power control in CDMA systems, grant numerous users to share resources of the system uniformly between each other, leading to expand capacity. With convenient power control, capacity of CDMA system is immense in contrast of frequency division multiple access (FDMA) and time division multiple access (TDMA). If power control is not achieved numerous problems such as the near-far effect will start to monopolize and consequently will reduce the capacity of the CDMA system. However, when the power control in CDMA systems is implemented, it allows numerous users to share resources of the system uniformly between themselves, leading to increased capacity For power control in CDMA system optimization algorithms i.e. genetic algorithm & particle swarm algorithm can be used which regulate a convenient power vector. These power vector or power levels are dogged at the base station and announce to mobile units to alter their transmitting power in accordance to these levels. The performances of the algorithms are inspected through both analysis and computer simulations, and compared with well-known algorithms from the literature.


2020 ◽  
Vol 2 (3) ◽  
pp. 145-152
Author(s):  
V. D. KOVALEVA ◽  
◽  
Z. R. KOCHKAROVA ◽  
L. V. IONIDI ◽  
◽  
...  

The article is devoted to the urgent problem of taxation of the EAEU countries, the methods of tax burden optimization are disclosed, the feasibility of using the tax burden indicator as a criterion for the level of economic development of a business entity is substantiated, the tax burden of the countries of the Eurasian and post-Soviet space is analyzed, a tax burden optimization technique based on controlling tools is proposed.


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