Oil condition monitoring has its unique advantages and disadvantages associated with the monitoring and fault diagnosis of reciprocating machinery. When this technique is conducted independently, only a portion of machine faults are typically diagnosed. However, practical experience has shown that this technique in a machine condition monitoring program provides useful reliable information, bringing significant cost benefits to industry. The objective of this research was to investigate the fault diagnosis for reciprocating machine by oil condition monitoring. This was achieved by investigating different oil analysis of Crane Liebherr LHM-1200. The oil analysis was initially run under regular interval during machine life. A series of tests were then conducted under the operating hours of machine. Oil sample was regularly collected. Numerical data produced by oil analysis was compared with previous data, in order to quantify the effectiveness of the results of oil condition monitoring technique. The results from this paper have given more understanding on the dependent and independent roles of oil analyses in predicting and diagnosing machine faults.
