Search results

Introduction Quantitatively determine the time that the failure appeared and extract signal features during devices fault diagnosis process,in source orientation or equipment fault diagnosis,the vibration signal data sampled by data collector often superpose noise,useful feature information always submerges in the noise．In order to restore data into practical vibration condition veritably as far as possible,it need to denoise the jamming signal and extract the feature of the signal[1].
In the paper the authors propose a combination of the EMD method and the wavelet analysis to suppress the noise and fault detection and diagnosis, It adopts empirical mode decomposition to current signal ,obtained a series of IMFs,removing the first IMF to denosing,and then analyzed multi-scale ,using signal become mutated have the maximum modulus determine the time that the failure appeared. 1 Hilbert-Huang Transform Hilbert-Huang Transform(HHT) is a novel analysis method for nonlinear and non-stationary data.It was proposed by Huang et al.It consists of two parts:(1)Empirical Mode Decomposition (EMD), and(2)Hilbert Spectral Analysis.With EMD,any complicated data set can be decomposed into a finite and often less number of intrensic functions(IMFS)[3].Any IMF is defined as a function satisfying the following conditions(1)The number of extrema and the number of zero=crossings must either equal or differ at most by one;(2) At any point,the mean value of the envelope defined by the local
,until we get a residue whose amplitude is smaller than a predetermined value,or becomes a monotonic function[5].The original signal can then be reconstructed,using the folowing equation: (6) Thus,we achieved a decomposition of the data into n-enpirical nodes,and a residue ,which can be either the mean trend or a constant.
In this paper a method is presented to noise reduction .
A system is working, acquisition signal of output points is a creep signal when they're working properly, when it gets out of order., acquisition signal of output points is will appear abrupt signal(abrupt mainly displays on amplitude and frequency) ,and is now given the system from normal to the failure of a sampling sequence, analysis the fail appear in time. analyzed multi-scale ,using signal become mutated have the maximum modulus determine the time that the failure appeared. 3 Analysis and simulation results The original vibration signal data sampled by data collector is as Fig1 shown, Figure 2 is vibration signal EMD after twelve scales of the mode function graph; Fig 3 is the filtered signal and coefficient of Wavelet decomposition. as can be seen from the diagram 3 these algorithms mentioned in this paper was showed a remarkable effect in signal denoising,Keep the details of the original signal characteristics,and Has higher application value.at the same time,frome coefficient

According to the fault tree analysis results, the evaluation index system could be established combined with a water source data in the Dongying city.
We can draw the following conclusions that the cause of outbreak of water bloom mainly includes the following several parts through consulting a large number of data.
We establish evaluation system according to the water algae’s growth characteristics [6] combined with fault tree analysis results and the data afford by some tap water company.
The data of the water source in Dongying are shown in table 2.
Determining the single factor evaluation matrix.Each index level standard values is put forward by evaluation index system and the surface water environment quality standard, the cause of blooms factors [7] combining with the relevant data analysis in the Dongying city as shown in table 3.

United Nations determined the year 1990-2000 as the decade for natural disaster reduction.
The main analysis steps are data acquisition-system analysis-system design-system implementation four procedures.
Data Acquisition.
Data acquisition is collecting information and data about the history, current situation and development trend of water resources security early warning and verifying the data collected to ensure the scientific and authenticity of data at the same time.
Warning threshold could be determined through qualitatively analyzing the large amount of historical data, studying the warning threshold according to the various parallel principle or standard and making appropriate adjustments combined with the actual situation, experience in the past and multiply views integrated.

The residual stress fields determined have been related to experimental fatigue strength data in terms of constant amplitude fatigue testing data (S-N data).
Experimental S-N data was determined to gain better knowledge about the real fatigue strength of this weld detail in the specific available condition.
Fig 3 (a) shows experimental S-N data for this specimen type as well as design S-N curves [8] for the aforementioned FAT-classes.
In addition, this Fig. 3 (a) shows two data points of samples containing cracks (without failure) that were used for the neutron diffraction measurement.
The crack length and the experimental S-N data indicate that the “medium crack” sample was at approximately 50 % of the expectable life time and “long crack” sample was at approximately 75 % respectively.

The optical absorption coefficient (α) of the films was calculated from the optical transmittance (T) data using the relation, α = - (1/t) ln T (2) where t is the film thickness.
The refractive index (n) of the films was determined from the optical transmittance interference data employing Swanepoel’s envelope method [25] using the relation, n(λ) = [N + (N2 – n02n12)1/2]1/2 (4) and N = 2n0n1[(Tmax - Tmin)/TmaxTmin] + (n02+n12) / 2 (5) where no and n1 are the refractive indices of air and substrate, and Tmax and Tmin the successive optical transmittance maxima and minima respectively.
A small peak observed at around 0.13 V may be attributed to Mo6+ reduction.
The presence of molybdenum leads to the existence of an additional peak related to the oxy-reduction of the molybdenum ions.
The presence of two reduction peaks was attributed to the existence of two predominant forms of tungsten and molybdenum oxide.

Reduction of theoretical measurement point Fig.2 Algorithm diagram of actual contour surface (1) (2) (3) Firstly, the coordinate value of probe center is reduced to the coordinate value of actual contact point.
Its coordinate value is: In the same way, the data of point A' C' D' etc. are obtained.
A surface point data of the turning workpiece is measured every 5 mm.
The measurement data is induced into algorithm program to obtain the comprehensive error, then deal with the data respectively to fit out a new tool tracks.
Parts contrast (1-Full compensation; 2-PID compensation) Fig.6 Contrast of experimental data Conclusions The comprehensive error greatly influences profile accuracy of the surface, the machining accuracy can be greatly improved after compensating it.

AD9914 contains a high speed 32-bit parallel data input port which can support polar modulation scheme, such as high data rates and fast programming phase, frequency and amplitude of the tuning word.
Parallel programming consists of eight address lines and either eight or sixteen bidirectional data lines for read/write operations.
The logic state on pin 22 determines the width of the data lines used.
A logic low on pin 22 sets the data width to 8 bits and logic high sets the data width to 16-bits.
A Study on Phase-Noise Reduction Method in Phase–Locked Loop Systems.

Characteristics of Reliability Analysis of Slope Stability As is well known, the following factors may impose adverse effects on slope stability calculation during design and analysis with respect to geological engineering: Uncertainty of soil calculation parameters; Coherent uncertainty of slope soil; Soil randomicity that can not be revealed by calculation methods and slope calculation models; Randomicity of calculation results caused by randomicity of parameters used for calculation models; Uncertainty of resultant data; Errors in processing of measured data; Pore water pressure; Fluctuations such as earthquake, etc.
Finite element slope stability analysis by shear strength reduction technique[J].
Strength reduction factor of the finite element method to calculate the accuracy of slope stability factor of safety research [J].

After comparing all the noise images with the reconstructed image, an average after the worst and the best cases is removed will be the data for comparison.
With the data, the idea of filter only Value/Intensity is verified.
Chang, “Noise Reduction in High-ISO Images Using 3-D Collaborative Filtering and Structure Extraction from Residual Blocks,”IEEE Trans.
Kim, “Noise Reduction for Image Signal Processor in Digital Cameras,”Convergence and Hybrid Information Technology, pp. 474-481, 2008 [5] R.C.

So-called macro- and nanosteps at the semiconductor-oxide interface are responsible for a further reduction of the channel mobility.
The simulations are performed without any mobility degradation model and are qualitatively consistent with the experimental data derived by [6].
The deviation of the simulated results from the experimental data in the range of ND = 1017 … 1019, see Fig. 3, is due to the differences between the experimental device and the ideal theoretical structure.
Acceptor-like traps result on the one hand in a direct reduction of the carrier current and on the other hand, in Coulomb scattering once they are occupied.