Search results

But, the fault diagnosis process by human operators is time consuming and human error may lead to a faulty diagnosis, therefore a fuzzy inference system, as a consulting system that simulates the problem solving ability of human experts, which provides the correct and timely diagnosis of shearer faults would have a major effect on reduction of repair time, unnecessary expenditures for upgrades, and improvement of the performance of industrial maintenance programs and moreover will increase the reliability of the system.
Next, the membership functions and rules are desiged, and the inference system is defined for the data base.
Implementation Fuzzification is a process in which the input data, precise or imprecise is converted into fuzzy variable.
Table. 1 The data sheet of Rij abtained from worker’s experience and practice X1 Underpressure X2 Small flow X3 High temperature X4 Noise X5 Oil leak F1 Main pump fault F2 Motor fault F3 Slippagepump fault F4 Rectifying valve fault F5 Overpressurevalve fault F6 high pressure safety valve fault F7 low-pressure safety valve fault F8 Back pressure valve fault F9 Relief valve fault F10 Filter fault F11 Main oil loop fault F12 Switchingvalve fault F13 Slave valve fault F14 Oil quality F15 Cooling system problem 0.6 0.7 0.6 0.6 0.4 0.4 0.2 0.3 0.1 0.3 0.6 0.2 0.2 0.3 0.2 0.6 0.6 0.2 0.7 0.5 0.5 0.2 0.4 0 0.3 0.6 0.4 0.3 0.3 0.1 0.3 0.2 0.1 0.7 0.1 0.1 0.1 0.1 0.1 0 0 0.1 0.1 0.2 0.8 0.5 0.6 0.1 0.4 0.1 0.1 0.1 0.1 0 0.3 0.3 0.1 0.1 0.4 0 0.2 0.4 0.5 0.4 0.2 0.2 0.2 0.2 0.2 0 0.7 0.2 0.2 0 0 Because the fault occurs randomly, membership function reflects the relation
The study has shown that a fuzzy FDI system of shear, capable of learning from example data to improve performance, is a viable option worthy of further investigation.

Data Reduction and Statistical Analysis To determine the distribution of random test data or the probability distribution of observations, which would be made a reasonable hypothesis H0 based on its distribution, and then test the hypothesis.
In order to obtain a more accurate evaluation of the results, the instrument must be advanced, work must be serious and data processing must be reasonable in process of collecting data.

c c Experimental results 2 Title of Publication (to be inserted by the publisher) Raw PAS data for the samples annealed in nitrogen are shown in Fig. 1(a), and the values of S at the positron energy corresponding to maximum sensitivity to the nc-Si/SiO2 interface (~ 4keV) are plotted in Fig. 1(b).
Implantation-induced volume compaction of SiO2 leads to the suppression of the formation of INCIDENT POSITRON ENERGY (keV) 0 2 4 6 8 10 S PARAMETER 0.455 0.460 0.465 0.470 0.475 0.480 0.485 0.490 0.495 0.500 (a) SiO2/Si SiO2 ann as implanted as prepared 400ºC 700ºC 900ºC 800ºC 550ºC ANNEALING TEMPERATURE IN NITROGEN (ºC) 0 200 400 600 800 1000 MEAN S PARAMETER 0.469 0.470 0.471 0.472 0.473 0.474 0.475 0.476 0.477 AS PREPARED Fig.1 (a) Raw PAS data for nc-Si in SiO2,annealed in N2 at five temperatures, together with as-implanted, asformed and SiO2/Si data.
The reduction of the interface volumes is compensated by the increase in the intrinsic open-volume of the SiO2 matrix.
Boden, Diffusion and Defect Data 53-54 (1987) 173

Due to the reduction of the drive, light weight, low cost, low power consumption numerous advantages for other systems, it was caused widespread concern of many scholars, including physics, mechanics, applied mathematics, robotics and automation.
Fuzzy Detection Algorithm Make use of the parameter identify (the data flow) the examination mode with read to break down.
The spot when code produce data examination when the mode carried on break down examine a patient, have to right distinction the acquisition gets of the property of the examination parameter.
In this breakdown, the most valid diagnosis of method is to combine the work principle to enter, data in line is analytical.
Tradition of the method is the basis experience, data to statistics first, is a mechanism secondly cent expert assess, the end still needs to consider as follows factor: (1) Breakdown compared to expel easily, it belongs to one degree value to take big and some; (2) Break down frequency high of, it belongs to a degree to take a value big and some; (3) Usually use and come in contact with easily of take big and some; (4) More simple but again easily the breakdown neglect by person belongs to the degree take big.

This is due to the removal of surface defects and/or reduction of the weld toe angle that results in a decrease of stress concentration at weld toes [1].
S-N data for each model obtained from the fatigue test are compared between As-weld and Burr-ground specimens based on nominal stress range.
Fig. 3 summarizes the S-N data obtained from the fatigue test for each model.
� Fig. 3 S-N data of test specimens for the evaluation of fatigue strength improvement The fatigue test data shown in Fig. 3 are fitted based on Eq. 1.

Experiment results and data analysis 4.1 Tensile Test Data Analysis As shown in figure 1, it was observed that the tensile property of PE film became lower.
There was a nearly linear reduction in curve while ultraviolet aging, the change rate of tensile strength was lowered from 5.13% to 15.08% at 48h to 120h.
These results suggested that the effect on the tensile strength of PE film was more significant by ultraviolet aging, the tensile strength declined fast, and the film became easy to break. 4.2 Air permeability test data analysis The air permeability results of PE film by ultraviolet and thermal aging were shown as figure 4, the unit is cm3/m2*24h*0.1MPa.
Fig. 5 The moisture permeability curves of PE film by ultraviolet and thermal aging Fig.4 The air permeability curves of PE film by ultraviolet and thermal aging 4.3 Moisture permeability test data analysis The moisture permeability results of PE film by ultraviolet and thermal aging were shown as figure 5, the unit is g/m2*24h.

Impact of climate change on regional economy HAO Xiaolin1, 2, a,WU Jingdong1, 3, b* and Li Ning1, 2, c 1Academy of Disaster Reduction and Emergency Management,MCA & MOE, Beijing 2State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 3Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education of China, Beijing Normal University, Beijing a xiaolin@mail.bnu.edu.cn ,b wujidong@bnu.edu.cn ,cningli@bnu.edu.cn *Corresponding author Key words:climate change, regional economy, industry impact Abstract.This study has carried out the economic impact of output by industry in Beijing, making meteorological factors as a productivity input with capital, and labor.
Jeffrey found those analysis tools economists had used could be also applied to the meteorological economic value and there were three ways to assess such as stated preference, economic models and data analysis [1].Larsen took traditional capital, labor and energy consumption, as well as the temperature and precipitation observations to estimate the sensitivity of U.S. economy for changes in the weather.
Data and Method Data.
The study takes Beijing as research area and uses two kinds of dada: economic indicator and meteorological element, including 1978-2012 labor population, investment in fixed assets and general domestic production by industry from the statistical yearbook of China; 1978-2012 annual precipitation observations and annual average temperature measurements from China meteorological data sharing service system.

In this paper, a standardized method, based on a large number of measured data or Monte Carlo experiment to get the maximum distance or minimum distance, use the following formula to normalize.
Similarly, the presence of the simulator will be distributed in a plurality of spaced apart intervals, the interval needed for the reduction processing.
There are two main methods currently, expert advice and data analysis.
Data analysis is performed according to the logic and statistical analysis of the relationship between simulation data and indicators.

The natural disturbing fields are mainly caused by earth current field, fluctuations in the ionosphere, lightning activity, groundwater flow, oxidation reduction and so on.
When we were graphically fitting lines to the observed data, one of our criteria minimized the total sum of the absolute deviations between the data points and their corresponding points on the fitted line.
This criterion can be generalized: Given some function type and a collection of data points, minimize the sum of the absolute deviations.
Now the polynomial with order () is built in the local range of the () points: (6) The so-called “Least-Square approach” is to reduce the sum of squared deviation between value of polynomial and the observing value to a minimum, that is: (7) The sum of squared deviation is function of the parameters, because that of polynomial is known and unknown data re of the parameters of polynomial.

For one thing it guarantees adequate financial support to development zone, for anther it resistance risk from supporting high-tech industry and from reduction in revenue followed by tax-cut policy, etc, which could block the development of urban, and it can avoid adversely affect from the urban.
Tab.1 HLM indicators and statistics data Indicators Quantity Mean Standard deviation Min Max First level LNGDP 144 4.33 1.57 1.04 8.38 T(TIME) 144 -2.50 1.71 -5.00 0.00 Second level I(Investment) 24 3.87 0.72 2.77 5.34 Y(Year) 24 23.00 4.18 16.00 26.00 D(Distance) 24 23.00 8.24 6.00 40.00 Based on the above analysis, we will construct individual development model of the development zone, and model data was in Tab.1.
It made the initial data through a logarithmic conversion, in order to eliminate heteroscedasticity.
Full model First level: (3) Second level: (4) (5) Where, T: time, 18 years data (1993-2010) was divided into six nodes’ time, and encoded -5,-4,-3,-2,-1,0; Y: development zone’s established life; I: urban investment through a logarithmic conversion.