Automated diagnosis of recip compressors: Practical experiences with Fuzzy Logic and neural networks

摘要

The past 20 years have seen continuous progress in the technological means available for monitoring the condition of reciprocating compressors. For years, machine protection relied almost exclusively on indirect state, or condition, variables such as vibration, but more recent systems have been taking account of direct mechanical state variables such as piston rod position or thermodynamic variables like PV curves. This is no longer only being done for purposes of machine protection, but in order to gain the most comprehensive information on the condition of a machine and its components.