Search results

After screening and pre-processing, each fault collected six sets of data as a training sample set {Xi, Yi}, i = 1,2 .... 6.
Extracted 13 data sets Xi composition of the data set to be classified.
Data entry to be diagnostic, after classifier, the class of output belongs engine state.
The process of fault diagnosis system (1) The data collection and upload module is the data entry of system.
(2) Acoustic signal noise reduction and feature extraction module to achieve the main signal processing functions.

Experimentally, oxygen functional groups can be tuned by adjusting the reduction time, the type of reducing agent and the environment of reduction process.
The obtained values of 2Ɵ were compared with Joint Committee on Powder Diffraction Standards (JCPDS) data files.
According to the JCPDS (75-2078) data the prominent peak is at 2ϴ (26.26).
As the reduction increased the films showed increased porosity.
Chemicals such as H2SO4 if used in synthesis process results in impurities like Sulphur (S) and Phosphorous (P) which remain even after the complete synthesis [30] The available impurity data has been summarized in following table 1.

The studies of microstructure of fragments formed from steel perforated tape have shown the reduction of the structure size and the presence of thin colour oxide layers, which is consistent with the results on nanoindentation.
The nanoindentation data obtained allow not only hardness (H) but also Young’s modulus (E) to be derived.
This may be due to the spread of the heating zone in this depth and the reduction of the initial machining influence.
Average data of hardness (H) and elastic modulus (E) for investigated steel samples with carbon content 0.50% untreated and after laser treatment in Fig.6a and 6b are presented.
Hardness data is consistent with the results of microstructure and elastic modulus data.

Fig. 9 the hardware structure of the system, mainly through a variety of sensors to complete data acquisition field physical quantity, after signal conditioning into the data acquisition card, and computer communication, real-time transmission of data information.
Test system monitor the working state of the centrifugal pump according to the received instruction, automatic control and test flow, and data collection and real-time display of corresponding parameters and curves, after completion of test data analysis and processing, the output of the corresponding test reports and curves.
Flow control part of the hardware is mainly composed of computer, data acquisition card, servo amplifier, actuator and electric control valve.
After conversion, curve fitting of different flow point of the VC data using the least squares curve fitting module, get the pump performance curve and curve.
The performance experiment of centrifugal pump in accordance with the national standard, the stability of centrifugal pump parameters in the GB of time, collecting 15 flow point data, and in each of the flow data of 9 groups of data averaging, fitting of the centrifugal pump performance curve is shown in figure 11.

Traditional methods such as stitching and Zpinning, while improving interlaminar properties in woven composites, lead to a reduction of the inplane properties.
Splaying is not dominant in reduction of diameter of nano fibers.
Table 1 shows the data obtained from the current MSBS and SBS tests.
The experimental test data indicates over 20% improvement in shear strength in the electrospun layered hybrid composites compared to the conventional two-phase composites.
Concluding Remarks The MSBS and SBS epxperimental data obtained indicates over 20% improvement in the delamination resistence of the nanoengineered hybrid composite with electrospun nano fiber layers compared to the traditional two-phase composite.

Temperature-programmed reduction (TPR) analysis was conducted with a Quantachrome ChemBET 3000 instrument.
Table 1 presented the nitrogen physisorption data for NiMo sulfide samples, showing BET surface area (SBET) values of 322 m2·g-1, 280 m2·g-1 and 120 m2·g-1 for NiMoS-FM, NiMoS-FM-rapid and NiMoS-H2O, respectively.
Table 1 Nitrogen physisorption data for NiMo sulfide samples Samples SBET, (m2 g-1) BJH AdsorptionVp (cm3 g-1) BJH Desorption Average Pore Size（nm） NiMoS-FM 322 1.90 3.0 NiMoS-H2O 120 0.50 3.3 NiMoS-FM-rapid 280 1.5 8.5 Table 2 Initial rate constants (k) and selectivity HYD/DDS of the NiMoS-FM and NiMoW-Al2O3 catalysts during the HDS reaction of DBT (T = 573 K, P = 5.0MPa).
Table 2 showed the initial rate constants determined by a linear fit of the experimental data according to the equation described by Huang et al[7].
For the NiMoW-Al2O3 catalyst, two main peaks were observed at 263 and 330 °C. the first TPR peak can be further interpreted as reduction of CoMoS(NiMoS) phase, and the second peak is referred as reduction of unpromoted MoS2 or WS2 phase[8].

The atomization can be improved through a combustion chamber which contributes to emission reduction by shortening the nozzle orifice diameter.
It was commonly believed that the purpose of high injection pressure was the reduction of PM and the injection timing was retarded so as to reduce NOx [18]..
Figure 7: Effect of Ambient Pressure on Ignition Delay τ1 and τ1 + τ2 [22] Figure 5: pf - pa and pf - pn versus time [10] The lower injection of 30 MPa and a Pa of 4.2 MPa data from Arrehenius have been plotted as show in Figure 7.
The injection of 14 MPa and a Pa of 3.8 MPa are also plotted by Ikegami and Miwa [23] from their experiment data.
The different injection pressure of 14, 30 and 100 MPa was obtained from the data.

Another statistics published by Western Europe on data gathered from individual plant showed that 10% to 15% of pipework failures are caused by vibration induced fatigue [1].
This paper reviews on the causes of piping vibration, some health monitoring techniques, piping vibration assessment and reduction methods specifically caused by pressure pulsation phenomenon were also presented.
A qualitative assessment, visual inspection and basic measurement are being performed to indentify area of concerns and problem based on measured data.
Special measurement techniques such as Dynamic Strain Measurement and Fatigue Analysis, Experimental Modal Analysis, Operational Deflection Shape and Dynamic Pressure (pulsation) Measurement usually applied to acquire more data for diagnosis purpose.
For reduction of piping vibration, passive control devices offer cheaper price than active control device.

This work provides some guidance for further study of vibration and noise reduction of the soil stabilizer.
It can identify noise sources of cab with the reduction of driver as single-output[4].
Identification of vehicle radiated noise source based on partial coherence analysis is used rarely because that it is difficult to define the output reduction.
Based on time domain data and , the spectral and cross-spectral can be achieved by programming.

The results showed that stable silver nanoparticles collide solution with 20-30 nano, applied on oxidized cotton fabric under certain condition, could produce ideal antibacterial rate over 94% of bacterial reduction to both Staphylococcus aureus (S.aureus) and Escherichia coli (E.coli) after 50 consecutive washings.
The percentage reduction was determined as follows: Reduction in cfu (%) =×100% (1) A and B are the bacterial colonies of the original cotton fabrics and the finished cotton fabrics, respectively.
The antimicrobial activity of silver nanaoparticles finished fabrics was affected little by the increase of laundering circles, with more than 94% of bacterial reduction maintained even after 50 times of washing, which showed the bonds between cotton and HBP-NH2 I were durable enough after repeated launderings.
Table 2 Washing durability of the silver nanoparticles treated cotton fabric Washing times S. aureusa E. colib Surviving cells [CFU/ml] Reduction [%] Surviving cells [CFU/ml] Reduction [%) 0 1.05×104 99.16 1.82×104 99.10 10 1.6×104 98.72 2.84×104 98.60 20 3.13×104 97.50 7.95×104 96.08 50 7.45×104 94.04 1.18×105 94.19 aSurviving cells of raw cotton fabric was 1.25×106CFU/ml; bSurviving cells of raw cotton fabric was 2.03×106 CFU/ml With the laundering circles increasing, the fabric whiteness enhanced because more silver nanoparticles with certain colour were washed off, which were proved by the ICP data.