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Maintenance techniques

Figure 19-7. Comparison between various maintenance techniques. Figure 19-7. Comparison between various maintenance techniques.
Maintenance, defined as the upkeep of property, is one of the most important operations in a plant. The manufacture and maintenance of turbomachinery are totally different. The first involves the shaping and assembly of various parts to required tolerances, while the second, maintenance, involves restoration of these tolerances through a series of intelligent compromises. The crux of maintenance technique is in keeping the compromises intelligent. [Pg.722]

Nelson, E., Maintenance Techniques for Turbomachinery, Proceedings of the 2nd Turbomachinery Symposium, Texas A M University, 1973. [Pg.777]

The fact that vibration profiles can be obtained for all machinery having rotating or moving elements allows vibration-based analysis techniques to be used for predictive maintenance. Vibration analysis is one of several predictive maintenance techniques used to monitor and analyze critical machines, equipment, and systems in a typical plant. However, as indicated before, the use of vibration analysis to monitor rotating machinery to detect budding problems and to head off catastrophic failure is the dominant predictive maintenance technique used with maintenance management programs. [Pg.664]

Science of rotor-bearing-support system design and operation. Predictive maintenance technique that uses spectrographic, wear particle, ferrography, and other measurements of the lubricating oil as a diagnostic tool. [Pg.696]

Motion of fluids in which local velocities and pressures fluctuate irregularly, in a random manner. Predictive maintenance technique that uses principles similar to those of vibration analysis to monitor the noise generated by plant machinery or systems to determine their actual operating condition. Ultrasonics is used to monitor the higher frequencies (i.e., ultrasound) that range between 20,000 Hertz and 100 kiloHertz. [Pg.696]

The addition of predictive maintenance techniques as an outage-scheduling tool reduced the outage to five days and resulted in a total savings of 200,000. The predictive maintenance data eliminated the need for many of the repairs that would normally have been included in the maintenance outage. Based on the ball mill s actual condition, these repairs were not needed. The additional ability to schedule the required repairs, gather required tools and plan the work reduced the time required from three weeks to five days. [Pg.797]

The overall benefits of predictive maintenance management have proven to substantially improve the overall operation of both manufacturing and process plants. In all surveyed cases, the benefits derived from using condition-based management have offset the capital equipment cost required to implement the program within the first three months. Use of microprocessor-based predictive maintenance techniques has further reduced the annual operating... [Pg.797]

Thermography is a predictive maintenance technique that can be used to monitor the condition of plant machinery, structures and systems. It uses instrumentation designed to monitor the emission of infrared energy, i.e. temperature, to determine their operating condition. By detecting thermal anomalies, i.e. areas that are hotter or colder than they should be, an experienced surveyor can locate and define incipient problems within the plant. [Pg.799]

Regular visual inspection of the machinery and systems in a plant is a necessary part of any predictive maintenance program. In many cases, visual inspection will detect potential problems that will be missed using the other predictive maintenance techniques. [Pg.803]


See other pages where Maintenance techniques is mentioned: [Pg.722]    [Pg.723]    [Pg.725]    [Pg.727]    [Pg.729]    [Pg.731]    [Pg.733]    [Pg.735]    [Pg.737]    [Pg.739]    [Pg.741]    [Pg.743]    [Pg.745]    [Pg.747]    [Pg.749]    [Pg.751]    [Pg.753]    [Pg.755]    [Pg.757]    [Pg.759]    [Pg.761]    [Pg.765]    [Pg.767]    [Pg.769]    [Pg.771]    [Pg.773]    [Pg.775]    [Pg.777]    [Pg.28]    [Pg.794]    [Pg.797]    [Pg.797]    [Pg.797]    [Pg.798]    [Pg.798]    [Pg.800]    [Pg.802]    [Pg.802]   


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