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Prediction/analysis programs

CHEOPS (we tested Version 3.0.1) is a program for predicting polymer properties. It consists of two programs The analysis program allows the user to draw the repeat unit structure and will then compute a whole list of properties the synthesis program allows the user to specify a class of polymers and desired properties and will then try the various permutations of the functional groups to find ones that fit the requirements. On a Pentium Pro 200 system, the analysis computations were essentially instantaneous and the synthesis computations could take up to a few minutes. There was no automated way to transfer information between the two programs. [Pg.353]

It is important for predictive maintenance programs using vibration analysis to have accurate, repeatable data. In addition to the type and quality of the transducer, three key parameters affect data quality the point of measurement, orientation, and transducer-mounting techniques. [Pg.687]

The only useful function of broadband analysis is longterm trending of the gross overall condition of machinery. Typically, sets of alert/alarm limits are established to monitor the overall condition of the machine-trains in a predictive maintenance program. However, this approach has limited value and, when used exclusively, severely limits the ability to achieve the full benefit of a comprehensive program. [Pg.692]

Most vibration-based predictive maintenance programs use some form of signature analysis in their program. However, the majority of these programs rely on comparative analysis rather than full root-cause techniques. This... [Pg.798]

Spectrographic analysis allows accurate, rapid measurements of many of the elements present in lubricating oil. These elements are generally classified as wear metals, contaminates, or additives. Some elements can be listed in more than one of these classifications. Standard lubricating oil analysis does not attempt to determine the specific failure modes of developing machine-train problems. Therefore, additional techniques must be used as part of a comprehensive predictive maintenance program. [Pg.801]

There are three major limitations with using tribology analysis in a predictive maintenance program equipment costs, acquiring accurate oil samples and interpretation of data. [Pg.802]

The capital cost of spectrographic analysis instrumentation is normally too high to justify in-plant testing. Typical cost for a microprocessor-based spectrographic system is between 30,000 and 60,000. Because of this, most predictive maintenance programs rely on third party analysis of oil samples. [Pg.802]

The host computer provides all of the data management, storage, report generation, and analysis capabilities of the predictive maintenance program. Therefore, care should... [Pg.807]

The optimum predictive maintenance program developed in earlier chapters is predicated on vibration analysis as the principle technique for the program. It is also the most sensitive to problems created by the use of the wrong transducer or mounting technique. [Pg.812]

Predictive maintenance programs using vibration analysis must have accurate, repeatable data to determine the operating condition of plant machinery. In addition to the transducer, three factors will affect data quality measurement point, orientation and compressive load. [Pg.812]

Figure 6.20 Computer screen capture of the Lib View library analysis program that illustrates the microtiter plate layout with the measured and predicted spectra shown in the foreground. (Reprinted with permission from Yates et al., 2001. Copyright 2001 American Chemical Society.)... Figure 6.20 Computer screen capture of the Lib View library analysis program that illustrates the microtiter plate layout with the measured and predicted spectra shown in the foreground. (Reprinted with permission from Yates et al., 2001. Copyright 2001 American Chemical Society.)...
Successful rotating equipment Predictive Maintenance Programs require several elements. Typical elements include an effective lubrication program with oil analysis to detect residual metal particles, thermography, machine monitoring instrumentation, repair specifications, repair history records, advanced training of mechanics, and the use of data management computers. [10]... [Pg.206]

Effective predictive maintenance programs incorporate multiple features. However, the key to rotating equipment predictive maintenance is a comprehensive vibration surveillance and analysis program. A change in a machines health or operation nearly always causes an easily detectable vibration change long before the machine fails. [Pg.206]

The most popular application of computers involves programs developed for modeling corrosion and cracking as well as programs for diagnosis, failure analysis and prediction/ analysis. The systems developed are ... [Pg.320]

Pyrolysis results are very important for coal characterization, as all conversion processes of coal such as combustion, liquefaction, and gasification start with a pyrolytic step. For this reason, pyrolysis was frequently used for the analysis of coals [17,18). Pyrolysis data were correlated with coal composition, coal characterization and ranking [18a], prediction of coal reactivity as well as of other properties related to coal utilization. Techniques such as Py-MS, Py-GC/MS with different ionization modes, Py-FTIR, or evolved gas analysis (EGA) [19] were described for coal analysis. Programmed temperature pyrolysis is another technique that has been proposed [17] for a complete evaluation of the two types of molecules present in coal. [Pg.418]

Koup JR, Killen T, Bauer LA. Multiple-dose nonlinear regression analysis program Aminoglycoside dose prediction. Chn Pharmacokinet 1983 8 456 62. [Pg.72]

Fig. 20 Simulation of the propagation of the laser-induced stress wave as a function of distance from the irradiation spot. A three-dimensional finite element analysis program has been employed. The simulation shows that the highest probability for delamination is at the interface just behind the irradiation spot. This prediction is verified in the irradiation of nonannealed polymer samples on Suprasil... Fig. 20 Simulation of the propagation of the laser-induced stress wave as a function of distance from the irradiation spot. A three-dimensional finite element analysis program has been employed. The simulation shows that the highest probability for delamination is at the interface just behind the irradiation spot. This prediction is verified in the irradiation of nonannealed polymer samples on Suprasil...

See other pages where Prediction/analysis programs is mentioned: [Pg.664]    [Pg.701]    [Pg.715]    [Pg.727]    [Pg.797]    [Pg.798]    [Pg.798]    [Pg.799]    [Pg.799]    [Pg.813]    [Pg.814]    [Pg.201]    [Pg.121]    [Pg.45]    [Pg.183]    [Pg.206]    [Pg.178]    [Pg.180]    [Pg.197]    [Pg.170]    [Pg.11]    [Pg.176]    [Pg.249]    [Pg.93]    [Pg.428]    [Pg.494]    [Pg.147]    [Pg.492]    [Pg.452]   


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Predictive analysis

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