Page 242 - Subyek Teknik Mesin - Forsthoffers Best Practice Handbook for Rotating Machinery by William E Forsthoffer
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Be st Practice 3 .27          Compressor Best Practices
                                                            to us in the plant, such as DCS systems, etc. The important
                                                            point is to obtain the baseline and trends of data on a periodic
           Define each major component
           List condition monitoring parameters             basis. When trending data, threshold points should also be de-
           Obtain baseline data                             fined for each parameter that is trended. This means that when
           Trend data                                       the pre-established value of the parameter is exceeded, action
           Establish threshold limits                       must be taken regarding problem analysis. Setting threshold
                                                            values at a standard percentage above the normal value is
                                                            recommended. Typically values are of the order of 25e30%
       Fig 3.27.3   Component condition monitoring
                                                            above baseline values. However, these values must be defined
       equipment. However, operations should be consulted to con-  for each component based on experience. Figure 3.27.5 presents
       firm when the unit is operating at rated or lined out conditions.  trending data for a hydrodynamic journal bearing. All of the
       Obtaining baseline information without conferring with opera-  parameters noted in Figure 3.27.5 should be monitored to
       tions is not recommended, since faulty information could be  define the condition of this journal bearing.
       obtained which could thus lead to erroneous conclusions in
       predictive maintenance. Figure 3.27.4 states the basics of
       a baseline condition.                                Specific machinery component and system
                                                            monitoring parameters and their limits

        If you don't know where you started, you do not know where you are  On the following pages is contained information concerning
        going!
                                                            what parameters should be monitored for each major machinery
                                                            component to determine its condition. In addition, typical limits
       Fig 3.27.4   Base line condition                     are noted for each component.
                                                              These limits represent the approximate point at which action
          It is amazing to us how many times baseline conditions are  should be planned for maintenance. They are not intended to
       ignored. Please remember Figure 3.27.4, and make it a practice  define shutdown values.
       to obtain baseline conditions as soon as possible after start-up.
                                                            The rotor
       Trending
                                                            Rotor condition defines the performance condition (energy and
                                                            efficiency) of the machine. Table 3.27.1 presents this value for
       Trending is simply the practice of monitoring parameter con-
       dition with time. Trending begins with baseline conditions, and  a pump.
       will continue until equipment shutdown. In modern day
       thought, it is often conjectured that trending must be performed  Radial bearings
       by micro-processors and sophisticated control systems. This is  Figures 3.27.6 and 3.27.7 present the facts concerning anti-
       not necessary! Effective trending can be performed by periodic  friction and hydrodynamic (sleeve) radial or journal bearing
       manual observation of equipment, or using equipment available  condition monitoring.


                                                                                 Fig 3.27.5   Trending data































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