Abstract

This paper presents the influence of modelling on the mechanical natural frequencies, the effect of inertia loads on the structure vibration, the impact of the crank gear damping on speed fluctuation to ensure a safe operation and increasing the reliability of reciprocating compressors. In this paper it is shown, that conventional way of modelling is not sufficient. For best results it is required to include the whole system (bare block, frame, coupling, main driver, vessels, pipe work, etc.) in the model (see results in Table 1).

Highlights

  • Vibration analysis of reciprocating machines creates some unique challenges

  • Vibration measured at the frame results principally from the response of the mechanical system to the forces and movements that are occurring in the machine at the normal running conditions. These include the following factors: Gas load forces: These forces act on the piston and stationary components at 1X and at integer multiples of running speed

  • Inertial load forces: These forces are caused by the acceleration of the reciprocating components

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Summary

Compressor frame vibration

Vibration measured at the frame results principally from the response of the mechanical system to the forces and movements that are occurring in the machine at the normal running conditions These include the following factors: Gas load forces: These forces act on the piston and stationary components at 1X and at integer multiples of running speed. Reciprocating & rotating masses unbalance forces: These forces are predominant at 1X and 2X compressor speed, and are caused by asymmetrical crankshaft design and imperfect manufacturing tolerances They are usually much smaller than inertial and gas load forces. This drawing shows typical vibration monitoring locations for a reciprocating compressor. The higher frequency components are typical of the characteristic vibration produced by the interaction of the rolling elements with the bearing races

Timebase waveform of a crosshead acceleration signal
Requirements for monitoring systems
Amplitude measurement
Crank angle domain analysis
Understanding frequency content
Diagnostic approach

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