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In this study, data form previous maintenance works or activities were collected from both companies.
The data were then analyzed.
Data Collections and Research Methodology The data collection was started by gathering all the information from the breakdowns and maintenance records.
The similar data were also collected from the Ladang Sabah Palm Oil Mill machineries maintenance or breakdown records.
The collected data were then analyzed.

This overview outlines the reduction of quantitative texture data for the use in industrial settings.
Three different levels of data reduction applied in the daily operations will be discussed.
With such data at hand it is possible to assess the performance of a product in a customer process for example involving plastic deformation.
For process control at the pilot or plant scale quantitative texture data either need further reduction to enable texture analysis as a useful tool at the operator level.
An important aspect frequently overlooked when comparing mechanical properties to texture data are through-thickness texture gradients.

This is main issue we are interested in is knowledge simplification and reasoning decision rules from a finite data of a database of an uncertain information system.
Proof：For a knowledge uncertain system, If ，then ( 3.3 ) If the system does not exist a redundant data (i.e. no duplicates of an object, the same conditions correspond to the same result), then all of the objects of equivalent family in contained in equivalent family.
Step 1: Data normalization and discretization of attribute values in a decision information system is realized by way of methods of equal frequency, equal distance or central clustering and so on [10] so that a database of an uncertain information system is generalized.
Step 2: Based on theorem 3, examine whether the data of a comprehensive system is coordinated and the dependency property of condition attribution with decision attribution.
Based on theorem 3, it is easy to find data of CTR car database is coordinated.

Test Data Processing and Analysis To verify the performance of the propose method in this paper for impulsive noise, GPS measurement data in an aircraft test is used to process.
The time domain wave of the data is shown in Fig.3.
From Fig.3 can see the data is interfered with impulsive noise.
Fig.3 The measurement data Fig.4 De-noising by SVD combined with WNN From the data processing result, it can see that, the de-noising by SVD combined with wavelet neural network (WNN) can eliminate the impulsive in the measurement data effectively.
For the GPS measurement data processing, this method is effective to obtain satisfaction results.

Thus, another promising opportunity is a use of graphene oxide with a consequent reduction.
(a) (b) Fig. 4 (a) The influence of hole-extracting GO layer and its reduction on dark and light Cole-Cole diagrams (in log-log scale) and (b) a typical equivalent circuit for BHJ OSC determined from IS spectra (data modeling), where Cg is the geometric capacitance, Cn is the chemical capacitance, Rs is the series resistance, Rt is the resistance due to the accumulation of the charge carriers at the interface and Rrec is the resistance due to the recombination of charge carriers Table 2 Data modeling parameters and calculated values of the time constants (Rs ≈ 82 Ω, Cg ≈ 1.0 nF) Structure of OSC Cn (nF) Rt (Ω) Rrec (Ω) td (ms) tn (ms) Reference dark 1.64 240 1 130 000 0.39 1853.2 Reference light 1.85 210 1 700 0.39 3.1 GO dark 1.52 215 65 000 0.33 98.8 GO light 1.55 250 1 600 0.39 2.5 rGO_UV dark 1.66 240 24 000 0.40 39.8 rGO_UV light 1.87 205 1 400 0.38 2.6 rGO_Th dark 2.21 175 15 000 0.39 33.2 rGO_Th light 2.17 180
5 000 0.39 10.9 rGO_Ch dark 2.78 160 550 0.44 1.5 rGO_Ch light 2.29 200 250 0.46 0.6 In this regard, the results from DC measurements were confirmed by AC measurements, i.e. by IS data analysis.
The diffusion and recombination processes in prepared BHJ OSC were discussed and data modelling enabled us to determine both the diffusion and recombination time constants.
Cheng, The reduction of graphene oxide, Carbon 50 (2012) 3210-3228

So a novel passive detection model based on three-dimensional hyperbeam forming (3D-HBF) and fuzzy support vector data description (FSVDD) is proposed, where these advantages of beam width reduction and side lobe suppression for 3D-HBF and excellent target-detection capability for FSVDD are combined.
For this problem, a new data domain description technique, referred to as SVDD, has recently been presented [5].
Actually, because each input data point may not be fully assigned to one class, it is very difficult for SVDD to correctly detect the development process of motional target from remote range to nearby range.
Fuzzy Support Vector Data Description The sketch of the support vector data description (SVDD) is shown in Fig. 5.
Engineering Applications In order to verify the validity of the passive detection model for the UHSST, the background noise data and the radiated noise data of UHSST are acquired by the plane array in a lake trial.

The higher reduction Δh was required, the higher was the number of passes of the sheet through the rolling stand.
The higher reduction is required, the higher will be the proof stress Rp0.2, and tensile strength Rm and also the smoother will be the forged piece surface.
Fig. 1 –Influence of tensile strength on mean arithmetic deviation of the surface profile in deep-drawing steel The diagram shows linear regressions of the measured data of the samples „C“ and „D“ with the reliability value R2 and equations of linear regression.
On the basis of identification of relations between technological parameters of the technological process we obtained from the regression analysis of experimental data the equations for the reference material KOHAL.
Table 2 presents numerically individual parameters in respect to the real measured absolute reduction ∆h.

Magnesium diboride obtained from magnesium and boron oxide by magnesium-thermal reduction in SHS mode under the high-pressure inert gas (argon) was investigated.
Synthesis of magnesium diboride by magnesium thermic reduction of boric anhydride is another promising approach [7].
Synthesis temperatures were determined by thermocouples with recording of the data in PC.
The main reactions of boric anhydride reduction with formation of magnesium diboride in the presence of potassium chlorate have presumably the following form.
The presence of magnesium diboride in the final products of SHS is verified by the data of X- ray phase analysis and electron microscopy.

The effect of noise reduction is obvious.
Up to now, the effect of noise reduction is obvious.
Thus we can achieve greater noise reduction effect.
The Characteristics of Muffler Noise reduction is effective, noise reduction is greater than 20 dB(A sound grade), loudness is reduced 75%.
Data can refer to table 1.

Based on actual data of vehicle loads on Guangzhou-Shenzhen Expressway and relevant statistical results, mid-span bending moments of long-span virtual simple-supported beams are calculated.
Design vehicle load in General Code for Design of Highway Bridges and Culverts (JTG D60-2004) [1] is based on measured data of vehicle loads in 1990.
Those data were obtained from four representative highway survey stations, daily traffic volume of each station was about 3646 ~ 7114 vehicles and the total data were more than 60000 vehicles [2].
Based on the measured data of vehicle loads in GSE and relevant statistical results, a calculation model of load effects of bridges under random fleet is created.
Based on vehicle load data of different lanes of Guangzhou-Shenzhen Expressway, each-lane load effects of a 1600m simple-supported beam are calculated.