Determination Program Priority by Applying Variance Analysis Method in Controlling Electricity Main Supply Cost

2021 ◽  
Vol 0 (3) ◽  
pp. 6
Author(s):  
Danang Mustika Widya ◽  
Bambang Syairudin
Keyword(s):  
Variance Analysis ◽  
Analysis Method

Multi-Locus Penetrance Variance Analysis Method for Association Study in Complex Diseases

2005 ◽  
Vol 60 (3) ◽  
pp. 143-149 ◽  
Author(s):  
Xiangqing Sun ◽  
Zhongqi Zhang ◽  
Yulong Zhang ◽  
Xuegong Zhang ◽  
Yanda Li
Keyword(s):  
Association Study ◽  
Complex Diseases ◽  
Variance Analysis ◽  
Analysis Method

Research of Shell PTDF Shrink Model

2014 ◽  
Vol 494-495 ◽  
pp. 332-336 ◽  
Author(s):  
Hong Jun Li ◽  
Dong Feng Wang ◽  
Long Yan ◽  
Xing Tang ◽  
Zhi Quan Xiao
Keyword(s):  
Regression Analysis ◽  
Analysis Data ◽  
Variance Analysis ◽  
Analysis Method ◽  
Pressure Time ◽  
Two Factors ◽  
Main Factors ◽  
Set Up ◽  
The Relationship ◽  
Tube Shell

Stress (P) and pressure time (T) are the two main factors which affect the bayonet tube shell shrinking size. In this paper, we study this two factors. Double factors regression analysis and variance analysis method were used to analysis data. PT tube shell shrinkage model is set up to explore the correlation of tube shell shrinkage size and pressure (P) and the pressure time (T) and its change rule. Results show that the established PT contraction model can well reflect the relationship between the tube shell shrinkage size and the PT factors.

scholarly journals Dynamic Allan Variance Analysis Method with Time-Variant Window Length Based on Fuzzy Control

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Shanshan Gu ◽  
Jianye Liu ◽  
Qinghua Zeng ◽  
Shaojun Feng ◽  
Pin Lv
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Allan Variance ◽  
Variance Analysis ◽  
Identification Accuracy ◽  
Evaluation Index ◽  
Window Length ◽  
Analysis Method ◽  
Accuracy Requirement ◽  
Performance Evaluation Index

To solve the problem that dynamic Allan variance (DAVAR) with fixed length of window cannot meet the identification accuracy requirement of fiber optic gyro (FOG) signal over all time domains, a dynamic Allan variance analysis method with time-variant window length based on fuzzy control is proposed. According to the characteristic of FOG signal, a fuzzy controller with the inputs of the first and second derivatives of FOG signal is designed to estimate the window length of the DAVAR. Then the Allan variances of the signals during the time-variant window are simulated to obtain the DAVAR of the FOG signal to describe the dynamic characteristic of the time-varying FOG signal. Additionally, a performance evaluation index of the algorithm based on radar chart is proposed. Experiment results show that, compared with different fixed window lengths DAVAR methods, the change of FOG signal with time can be identified effectively and the evaluation index of performance can be enhanced by 30% at least by the DAVAR method with time-variant window length based on fuzzy control.

Optimization of Polymer Injection Program for Second-Class Oil-Bearing Layer

2013 ◽  
Vol 734-737 ◽  
pp. 1213-1218
Author(s):  
Li Yang Song ◽  
Ling Zhi Zhang ◽  
Hao Yang ◽  
Ji Cheng Zhang
Keyword(s):  
Oil Production ◽  
Injection Rate ◽  
Polymer Flooding ◽  
Optimal Concentration ◽  
Variance Analysis ◽  
Evaluation Index ◽  
Analysis Method ◽  
Polymer Injection ◽  
Optimal Injection ◽  
Bearing Layer

This paper, taking cumulative incremental oil production per unit thickness as evaluation index through variance analysis method, optimizes the injection rate and concentration of types of well groups with polymer flooding in the second-class oil-bearing layer of Daqing oilfield. The results show that for the ontocline and poorly communicated well groups, the optimal injection rate ranges from 0.10 to 0.15 PV/a and the optimal concentration ranges from 800 to 950 mg/L; for the supermature but poorly communicated well groups, the optimal injection rate ranges from 0.10 to 0.15 PV/a and the optimal concentration should be over 1200 mg/L; for the ontocline but well communicated well groups, the optimal injection rate ranges from 0.15 to 0.20 PV/a and the optimal concentration ranges from 850 to 950 mg/L; for the supermature and well communicated well groups, the optimal injection rate should be over 0.20 PV/a and the optimal concentration should be over 1100 mg/L.

scholarly journals The Effects of Some Drugs Used to Treat Honeybee (Apis mellifera L.) Diseases and Pests on Lifespan of Honeybees

2017 ◽  
Vol 5 (7) ◽  
pp. 720
Author(s):  
Duran Özkök ◽  
Ethem Akyol
Keyword(s):  
Statistical Analysis ◽  
Apis Mellifera ◽  
Variance Analysis ◽  
Control Group ◽  
Analysis Method ◽  
Control Groups ◽  
Average Lifespan ◽  
Group A ◽  
Observation Hive ◽  
And Control

This study was conducted to determine the effects of Bayvarol®, Fumidil-B®, Neo-Terramycin® on adult honeybee lifespan. Total twenty honeybee colonies were used and randomly divided into four groups (each group consisted of five colonies). Experimental groups: Bayvarol ®, Fumidil-B® and Neo-Terramycin® were treated to first, second and third groups, respectively. No treatment was done to forth group taken as control group. A hundred one day old worker bees were taken from each group and marked with different colors and numbered on the thorax. After the marked, all worker bees were given into the observation hive. Marked worker bees were controlled and counted daily. Statistical analysis of data was done by variance analysis method and between groups comparisons were done with Duncan's multiple range tests. Average lifespans of the first, second, third and control groups were 44.97±4.90, 46.86±6.56, 45.38±6.12 and 47.72±6.06 days, respectively. There were found statistically significant differences among average lifespan of first, second, third and control groups (P

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