Sensitivity Analysis on Factors Influencing Motion Reliability of Space Manipulator Based on the Multilayer Mapping Model

2017 ◽  
Vol 53 (11) ◽  
pp. 10
Author(s):  
Qingxuan JIA
Keyword(s):  
Sensitivity Analysis ◽  
Space Manipulator ◽  
Mapping Model ◽  
Factors Influencing

Weight Calculation and Operation Adjustment of Factors that Influence Boiler Efficiency

2015 ◽  
Vol 723 ◽  
pp. 996-1002
Author(s):  
Fen Fen Gao ◽  
Yu Jiong Gu ◽  
Ping Zhu ◽  
Lei Song
Keyword(s):  
Neural Network ◽  
Sensitivity Analysis ◽  
Clustering Algorithm ◽  
Sensitivity Coefficient ◽  
Factors Influencing ◽  
Boiler Efficiency ◽  
Weight Calculation ◽  
Fuzzy C Means Clustering ◽  
Main Factors ◽  
Output Indicators

For the problem that factors influencing boiler efficiency are complex and have strong coupling, Firstly, artificial neural network was used to establish the model of boiler efficiency, sensitivity analysis based on the model was introduced to calculate the sensitivity coefficient ,which reflecting the weights of input parameters on output indicators. According to the orders of weights, the main factors were chosen to be paid more attention and adjusted. Secondly, considering the effects of power and ambient temperature, the target-value of parameters in various conditions were obtained based on fuzzy c-means clustering algorithm, and were introduced as accordance for operation adjustment . The boiler efficiency of 600MW coal-fired boiler in Tashan plant was studied, the results indicate that the method can improve the economy of boiler effectively, guide operators to improve the pertinence of operation adjustment and have a certain significance in making the direction of operation adjustment clear.

Factors influencing the acid–base (pH) balance in the Baltic Sea: a sensitivity analysis

Tellus B ◽  
2010 ◽  
Vol 62 (4) ◽  
Author(s):  
Anders Omstedt ◽  
Moa Edman ◽  
Leif G. Anderson ◽  
Hjalmar Laudon
Keyword(s):  
Sensitivity Analysis ◽  
Baltic Sea ◽  
The Baltic Sea ◽  
Acid Base ◽  
Factors Influencing ◽  
The Baltic

scholarly journals Long-term predictions of the energy development - possibilities and challenges

2016 ◽  
Vol 20 (suppl. 1) ◽  
pp. 69-75
Author(s):  
Gligor Kanevce ◽  
Aleksandar Dedinec ◽  
Aleksandra Dedinec ◽  
Ljubica Kanevce
Keyword(s):  
Sensitivity Analysis ◽  
Future Development ◽  
Global Scale ◽  
Energy Development ◽  
Republic Of Macedonia ◽  
Factors Influencing ◽  
The Future ◽  
The Republic

In this paper the possibilities, disadvantages and benefits of long-term planning of energy development, are analysed. The factors influencing the development of energy and the factors influencing the accuracy of forecasting of the future development of energy are presented. The uncertainties that make the differences in modelling on a global scale, as well as the uncertainties that make the differences in modelling of the energy development of the Republic of Macedonia are also presented. Sensitivity analysis of the influence of different factors on the development of energy in the Republic of Macedonia was carried out. For those purposes the energy development of the Republic of Macedonia for the period up to 2035 year is calculated by using MARKAL model. The main features of the MARKAL model are also presented.

Factors influencing the acid–base (pH) balance in the Baltic Sea: a sensitivity analysis

Tellus B ◽  
2010 ◽  
Vol 62 (4) ◽  
pp. 280-295 ◽  
Author(s):  
Anders Omstedt ◽  
Moa Edman ◽  
Leif Anderson ◽  
Hjalmar Laudon
Keyword(s):  
Sensitivity Analysis ◽  
Baltic Sea ◽  
The Baltic Sea ◽  
Acid Base ◽  
Factors Influencing ◽  
The Baltic

Modeling and Sensitivity Analysis for Railway Passengers’ Public Transit Mode Choice

2014 ◽  
Vol 641-642 ◽  
pp. 678-684
Author(s):  
Jian Zhang ◽  
Chun Jing Ma ◽  
Xiang Feng Ji ◽  
Gang Zhong
Keyword(s):  
Sensitivity Analysis ◽  
Prediction Accuracy ◽  
Mode Choice ◽  
Test Results ◽  
Accuracy Test ◽  
Factors Influencing ◽  
Development Level ◽  
Mnl Model ◽  
Study Mode ◽  
Statistical Indicators

Comprehensive terminal integrates different modes of transport and sharing rates of different traffic modes influence its planning greatly. To determine the sharing rates, it’s necessary to study mode choice probability of passengers. Based on the theory of disaggregate choice, with the survey of mode choices of passengers arriving by rail in Nanjing south railway station, this paper establishes multinomial logit (MNL) model and nest logit (NL) model, considering three types of modes of transport including the subway, regular bus, and taxi. Models are calibrated with SPSS and validated through statistical indicators. Therefore, important factors influencing choice are obtained. The accuracy test results of two kinds of models show that NL model has higher prediction accuracy, and can overcome the shortcomings of traditional logit model’s independent and irrelevant alternatives (IIA). Finally, this paper develops the sensitivity analysis using the NL upper model as an example, and gives the sensitivity physical meaning, namely the development level of taxi.

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