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Through simulation and numerical analysis, the algorithm to solve the original non-stationary signal interference spectrum , nonlinear shortcomings, through a series of changes to remove noise, which can reduce the difficulty of data processing and increase the accuracy of the gas signal analysis . 1.
Using the HHT algorithm processing, EFPI spectrum signals were collected to realize interference spectrum signal noise reduction processing, in order to obtain accurate EFPI cavity length information. 2.
HHT is essentially stationary signal processing, including the two main basic processes: One is the Empirical Mode Decomposition (Empirical Mode Decomposition, the EMD), the second is the Intrinsic Mode Function the IMF (the Intrinsic Mode Function) of the Hilbert-transform. 3.1 Empirical Mode Decomposition The essence of EMD decomposition process: Signal in different scale trend of fluctuations or broken down step by step, produce a series of signals with different frequency scale data sequences, each sequence is called an intrinsic mode function (IMF) components.
Determine what the IMF should satisfy the conditions: (1) In the whole data sequence, number of passing zero and extreme value point number equal or differ at most 1; (2) The connection on the local maximum value of the envelope and connection envelope under the local minimum value of the mean is zero.
Noise reduction method of HHT algorithm is better than the previous, suitable for processing non-stationary and nonlinear signals, improves the accuracy of the real signal acquisition.

This research provides basic data for the implementation of the saline aquifer storage in China.
If CCS can play an important role in CO2 emission reduction, saline aquifer storage will be the main geological storage option.
The overall size of storage potential directly determines CO2 emission reductions that CCS can realize.
Specific values ​​can be obtained from the relevant geological data.
Wang: Journal of Chemical & Engineering Data Vol. 57 (2012), p. 3399

For comparison the relative data for larger volume polypropylene grades have been presented as well.
For example 5 ppm Mg content in powder corresponds to the activity of 35kg of PP/g cat., statistically average data for this catalyst lot is 34.9 kg PP/g cat., which is an evidence of the sufficient analysis precision.
This data also points out the necessity to investigate polymer molecular-structural differences for establishing a mechanism.
As is evident from MWD data the deposit polymer has higher polydispersity due to the presence of both low-molecular components as discussed above and high-molecular “tail” contrary to powder.
Fig. 3 shows NMR 13С spectra of the polymers under study and in table 4 the data relating to the content of stereo pentads is given.

However, for the forged piping branch junction of interest here, there is very little experimental data available up to now.
In the end, the existing solutions for limit pressure of forged piping branch junctions were evaluated by using the experimental data.
From the comparison of the predicted results and experimental data, we can see that the predicted values from Eq. (3) are closest to the test results.
The mean error between estimated solutions from Zahoor's formulas and the experimental data exceed of 21%.
Compared with the experimental data, the predicted results from Zahoor's solution are apparently greater except the specimen T8.

The study was done by analyzing wind resource data of the site for 2-years (2008 & 2009) at a height of 40 m and applying the extrapolated wind speed resource at 70m height on four different wind turbine models – Suzlon S66, Gamesa G80, HeWind HW77 and RE Power MM82.
The RETScreen feasibility study report of the 30 MW wind power plant for Bony Island are discussed in section 4.3 to 4.6. 4.2 Climate Data Table 5: Climatic Data of Bonny Island (Source: RETScreen) Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Average Air Temp. (0C) 27.5 28.7 28.0 27.9 27.4 26.3 25.6 25.3 25.5 26.3 27.0 26.7 26.8 Wind speed (m/s) 2.6 4.3 5.0 4.3 4.4 4.8 4.4 5.4 4.3 4.0 3.9 3.7 4.3 Relative Humidity (%) 78.6 80.8 86.2 88.9 89.9 90.4 90.2 89.8 90.7 90.8 88.1 81.3 87.2 4.3 Discussion on Annual Energy Production This analysis was prepared using the RETScreen Energy Management Software.
Table 6a: Financial Viability of 30 MW Power Plant in Bonny Island Financial parameters Unit Inflation rate 2 % Discount rate 9 % Project life 20-years Dept ratio 70 % Debt $ 44,100,000 Equity $ 18,900,000 Dept interest rate 10 % Debt term 10-years Debt payment $ 7,177,072 /year Table 6b: Annual Revenue of a 30 MW Power Plant in Bonny Island Annual Revenue Unit Electricity export to grid 89,684 MWh Electricity export rate 0.1 $/ kWh Electricity export revenue $ 8, 968, 404 Net GHG reduction 38,757 tCO2 /year Net GHG reduction – 20 years 771, 143 tCO2 GHG reduction credit rate $ 40/ tCO2 GHG reduction revenue $ 1,550,286 GHG reduction credit duration 20-years GHG reduction credit escalation rate 2 % From the financial report, the annual revenue generated from electricity export is $8,968,404 with an additional GHG saving of $1,550,286; while the debt payment amounted to $7,177,072.
The RETSCREEN feasibility analysis was carried out based on two years wind speed data, to assess the viability of wind power generation potential for Bonny Island.
[17] Enercon report, 2019 [18] Emmanuel Yeboah Osei, Eric Osei Essandoh, “RETScreen Assessment of Utility Scale Wind Power Generation Based on Historical Wind Speed Data-the Case of Mankoadze in the Central Region of Ghana”, Research Journal of Applied Sciences, Engineering and Technology, vol.7(21), pp. 4593-4600, June 2014.

Reduction in bar diameter leads to a lower resistance, which can result in brittle failure of the bar.
The reduction percentage in reading is about 7.7%.
Based on the statistical analysis of the data obtained from the experimental tests, empirical equations that can fit the relationship between destructive and nondestructive tests were obtained. 5.
Due to steel corrosion, the reduction percentage of the manual rebound hammer reading was about 7.7%.
XLSTAT, Data analysis and statistics with MS Excel.

Indeed, intra-laminar damage and inter-laminar damage often take place concurrently, causing a significant strength reduction up to composite structure collapse.
This failure mode is the most dangerous because can easily evolve, causing a substantial strength reduction of whole structure up to the collapse.
Figure 2: Impact results charts The correlations between the experimental data and the proposed numerical approach is excellent.
Figure 3: Intra-laminar damage- comparison between numerical results (a) and experimental data (Thermography (b); Ultrasonic C-SCAN (c) and Ultrasonic A-scan(d)) In Figure 3, a comparison among NDT techniques output (Thermography, Ultrasonic C-SCAN and Ultrasonic A-scan) and the numerical results, in terms of impact induced delaminations enveloped area is presented.
Indeed, numerical results in terms of force-time and force-displacement delamination have been compared to experimental data and numerically predicted delamination size has been compared with Non Destructive Technique results showing a very good agreement.

The readings from string pot and the load applied were collected through a Ni Compact Rio Data acquisition system with a sampling rate of 10 Hz.
The PDF curves were developed based on the test data obtained from multiple cracks on the specimens at different corrosion levels over time.
A linear regression analysis was performed based on 50 test data points including two uncorroded steel bars.
The small data scattering based on the critical cross-sectional area loss is attributed to the unintentional eccentric loading during the tensile tests.
The slight scattering of test data around the linear relation between the loads and the critical cross section loss is attributed to the load eccentricity.

The focus of the approach is on cost reduction by eliminating non-value added activities.
Ideally, organizations have come to realization that when costs of reduction are reduced through reduction of wastes, profits improves since there is an improvement of quality and market share.
A case study protocol was constructed to assist the data collection.
Yes (3 years) Yes (13 years) Yes (21 years) Yes (22 years) Statistical process control Yes (3 years) Yes (15 years) Yes (21 years) Yes (21 years) Total preventive maintenance Yes (10 years) Yes (15 years) No Yes (3 years) Visual stream mapping Yes (3 years) Yes (13 years) Yes (7 years) No Develop customer satisfaction measures No Yes (13 years) No No Develop a six sigma programme No, company using sumitomo way No No No Supplier development No Yes (5 years) No No Quality assurance system No No No No Develop a systematic training and education Yes (3 years) Yes (13 years) Yes (13 years) No Develop a data collection and measurement system No No No No From the Tables 3, it can be observed that both companies A and D are quite advanced in their application of kaizen compared to the other two.
There are no companies applied the lean initiative of six sigma programme, quality assurance system and data collection and measurement system.

In summary, when the edger reduction is more than 10 mm, the SSC will work.
In summary, the correct setting of the edger reduction and the taper length of the every segment are the key to SSC, and the edger reduction is more important.
Therefore, the edger reduction is one of the important factors in the SSC, and the effect of the edger reduction on the SSC must be considered.
By the FEM and according to the better data of SSC applied in the field, the SSC model can be regressed as follows: (2) Where x is the distance along the taper length from the head end or tail end; a1, a2, a3, and a4 are the multiple regression coefficient of SSC model, and the coefficient will be changed with the different kinds of steel grade, width and different rolling pass; Δf(T) is the coefficient for temperature compensation; T is rolling temperature.
(2) The edger reduction and the number of segments along the taper length are the key to SSC, and the setting value of edger reduction is more important