.erothermal baseline.In addition to the vibration baselinespectrum, amachine also has an aerothermal performance baseline, or its normal oper-ating point on the aerothermal characteristic. Significant deviation of the operating point beyond its base point should generate alert signals.
When a compressor operates beyond itssurge margin, a danger alert should be activated. A typical compressor characteristic is presented in Figure 19-15. Some of the other monitoring and operating outputs are loss in compressorflow, loss in pressure ratio, and increase in operating fuelcost dueto, for instance, operating at off-design conditions or with a dirty compressor.
Since aerothermal performance of compressors and turbines is very sens-itive to inlet temperature and pressure variations, it is essential to normalizethe aerothermal performance parameters such asflow,speed, horsepower,etc., to standard-day conditions. When these corrections to standard condi-tions are not applied, a performance degradation may appear to occur when in fact it was a performance change resulting merely from ambient pressure and temperature changes. Some of the equations for obtaining correction to standard-day conditions are given in Table 19-3.
.ata Trending
The data received should first be corrected for sensing errors. This usually consists of sensor calibration correction.
Table 19-3
.as Turbine .erothermal .erformance E.uations
for Correction to Standard-.ay Conditions
Factors for Correction to Standard-.ay Temperature & .ressure Conditions
Assumed standard-day pressure 14.7 psia
Assumed standard-day temperature 60 0F (520 0.)
Conditions of test
Inlet temperature Ti 0.
Inlet pressure .i psia
Corrected compressor discharge temperature二 (.bserved temperature) (520/Ti)
Corrected compressor discharge pressure二 (.bserved pressure) (14.7/.i)
V古古古古古古古古古古古古古古古 Corrected speed二 (.bserved speed)520/Ti V古古古古古古古古古古古古古古古
Corrected air flow二 (.bserved flow) (14.7/.i)Ti/520
V古古古古古古古古古古古古古古古
Corrected horsepower二 (.bserved power) (14.7/.i)Ti/520
The trending technique essentially involves evaluating the slope of a curve derived from the received data. The slope of the curve is calculated for both along-termtrend, about 168 hours, and a short-termtrend, based on the last 24 hours. If the short-term slope deviates from the long-term slope beyond asetlimit, it means that the rate of deterioration ischanged, and the main-tenance schedule will be affected.Thus, the program might take into account the biasing of the long-term slope by the short-term slope. Figure 19-16 shows a schematic of this type of trending. .umerous statistical techniques are available for trending.
Trended data is used to obtain predictions that are helpful in the sched-uling of maintenance. .eferring to Figure19-17, for example, it is possible to estimate when compressor cleaning will be necessary. This figure was pre-pared by recording the compressor exit temperature and pressure each day.These points are thenjoined, and a dotted line is projected to predict when
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