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It is in need of the sensor configuration data and information about its intact boundary conditions, but the necessary information regarding the structure is limited to its thickness and material properties.
The used physical quantities were taken from the materials data sheets or equivalent literature (see [13], [14], [15]).
The calculated damage index exhibits a clear separation between the undamaged PWAS and the two different damages of the PWAS, showing even a big difference between the outlying measurement data point and the damage (Figure 13).
Finally the proposed sensor fault detection concept was validated with experimental data.
Moreover different types of data processing after estimation should be checked, including the calculation of threshold.

When this occurs, it is necessary to artificially heat or chill the sample during data acquisition, which is called active thermography.
The lamps were controlled by a data acquisition unit (Fig. 1(5)) from National Instruments (model NI-6211).
Table 1: Linear retraction, apparent density, apparent porosity and water absorption data.
The optical microscopy data indicated that the samples had similar thermal behaviors.
The porosity data measured by optical microscopy were similar to those obtained by thermography.

The data indicates that width of cross-section decreases in size by 1.5m and height decreases in size by 0.3m[7].
The data from the Practical Engineering Application indicates that the total saving primary investment of the engineering is 20.41 million dollars, accounting for 30% of the total tunnel investment, and 0.734 million dollars is saved every year on operations and management[7].
The data from Chinese NDRC(national development and reform commission) shows that standard coal that is needed to generate per kilowatt-hour by thermal power plant is reduced from 392g in 2002 to 360g in 2008, and the data is expected to be 320g in 2020.
The tunnel is 4430 meters long, then the data is converted into kilometric data, as the Table 5 shows.
Also save 565 ton standard coal per year per kilometre, emission reduction of CO2,SO2, NOX are respectively 1500, 4.8, 4.2 ton per year per kilometre.

Considering Control System Versions A large amount of data are produced in a typical manufacturing system as thousands of sensors record position, velocity, flow, temperature and other variables hundreds of times every minute.
According to [8], two design rules can help guard against data corruption problems Communication within the process: - identifies and protect critical regions; - identifies and isolates all data exchanges among tasks.
Through the proper application of these rules, software can be written which is protected from data corruption by task pre-emption.
A logical controller should be able, according to the predefined algorithm, to manage the causes of faults, send alarms to the requested destination using smart control principles, transmit signals via GSM, Wi-Fi, ETHERNET, etc. according to data transition standards [9].
Tilbury, The control networks for manufacturing control, diagnostics, and safety data, in: Proceedings of the IEEE, 95(1) (2007) 29–47

Beijing 100191, P.R.China a rabbit-tian@163.com, b ztd@buaa.edu.cn Keywords: Quality Management (QM); Concurrent Engineering (CE); Integrated Product Team (IPT); Product Data Management (PDM) Abstract.
Investigate the records of quality control and data of quality inspection to identify why quality problems occur.
Efficient and smooth information transmission and processing can be achieved by means of Product Data Management (PDM) which is an important support platform for CE.
The data of numerical control machining is delivered from CAM system to PDM, and the data of product models and technique from PDM to CAM at the meantime.
In each quality control, there are specialized personnel who check and monitor input and output of data in PDM.

The numerical results and the flow details are concluded and compared with published experimental data, .Results displayed in good agreement with theoretical analysis results.
According to the method that literature [6] provided, using powerful data processing function of excel to programe transform the 2d coordinate to 3d data points.
Afterwards, import the data to CFD processor Gambit software, using spline curve to fit values at each section point so as to establish a smooth three-dimensional propeller surface.
Table 3 Calculated results compared with test data J KT 10KQ η0 Test Calculated Error Test Calculated Error Test Calculated Error 0.1 0.3036 0.2900 4.48 0.2679 0.2847 6.30 0.1839 0.1720 6.47 0.2 0.2526 0.2485 1.59 0.2585 0.2600 0.59 0.3406 0.3042 2.23 0.3 0.2193 0.2160 1.48 0.2450 0.2530 3.26 0.4496 0.4077 1.64 0.4 0.1723 0.1652 4.11 0.2204 0.2225 0.98 0.5248 0.4727 5.09 0.5 0.1193 0.1158 2.93 0.1920 0.1978 3.02 0.5171 0.4658 5.83 0.6 0.0423 0.0392 7.32 0.1526 0.1521 0.30 0.3749 0.3599 4.00 0.7 -0.0135 -0.0142 4.82 0.1097 0.1029 3.44 -0.1555 -0.1492 8.51 Calculated value and test value Curve fitting comparison is shown in figure 3.
The numerical results are compared with published experimental data and the flow details are concluded, as a whole it can meet the needs of the engineering design.

There was no comparison data available for phosphate bonded bricks at elevated temperatures.
Manufacturers publish only cold modulus of rupture data for bricks but it can be deduced (see Table 2) that those published numbers would not lead to higher hot strengths than shown in Fig.4.
Table 2 below represents data from various publications and compares different materials based on fracture toughness, work of fracture and modulus of rupture.
All data shown was evaluated at ambient temperature.
Table 4: Furnace operation data Furnace Capacity 90 t Production Rate 180 t / day Fluxing Salt per day 14.5 t Circulation through Archways 13.6 t/min.

However this does not explain the decrease in weld metal hardness as the recorded data infers in clearly identical welding conditions.
However, the microhardness data of the weld profiles shows indicates the relative aluminium hardnesses.
Hardness data collected for laser weld figure 5(f) collates interestingly.
Without measuring weld cooling rates, the hardness data infers that slower cooling results in higher microhardness.
However, as the data indicates, post-welding ageing takes place and the weld metal softens in the majority of cases.

X-ray crystallographic data has been obtained for two of the compounds and this suggests that incorporation of these molecules into such a trichomophore bundle is a valid strategy for minimizing dipole-dipole interactions, and therefore aggregation in these compounds.
Table 1: UV-vis absorption data and decomposition temperatures for compounds 4-9.
As result it is clear that the incorporation of chromophore 4 into a trichromophore bundle leads to a significant net reduction in aggregation, and that the strong dipole-dipole interactions observed in 4 are now replaced by only weak intermolecular interactions in 7.
Key data for compounds 4-6 Compound 4.
Key data for compounds 7-9 Compound 7.

Wavelet analysis is one of the various kinds of identification methods, which has been used in linear and nonlinear system response data since it can decompose signals simultaneously both in time-domain and frequency-domain with adaptive windows.
Field data sampling is using Orient vibration and noise technical institute DASP2003 software.
[4] Brown D L, et al .Parameter Estimation Technique for Modal Analysis, SAE paper 790221, 1979 [5] Vold H,Rocklin G F.The Numerical Implementation of a Multi-Input Modal Estimation Method for Mini-Computer,IMAC,1982 [6] Juang J N,Pappa R S.An Eigensystem Realization Algorithm for Modal Paremeter Identification and Modal Reduction, J.Guid.Control,and Dyn.,8,1985,620~627