Abstract :
Based on the pitot probe 0851HT-1 Boeing 737-900ER removal data, 14 removal
events were found on this component. One of the defects that occurs is "pitot light
on". Therefore, the author will increase the optimization of the Pitot probe
components by carrying out problem solving analysis using the RCM (Reliability
Centered Maintenance) method, after which the results will be compared with
research that has been carried out previously. Observing damage data, especially
on the Pitot Probe component of the Boeing 737-900ER aircraft. The data
observation process was carried out by grouping problems contained in the
unscheduled component removal data on the Boeing 737-900ER aircraft. then
carry out an analysis and provide appropriate treatment recommendations. The
analysis carried out is in the form of quantitative RCM and qualitative RCM
analysis. Maintenance recommendations can be known from the results of the
calculations carried out. Based on the worksheet table that has been calculated, the
highest RPN value is 126 in the failure mode "IAS AND ALT DISAGREE" with
parameter values of severity 6, Occurance 7 and detection 3 where the aircraft can
be operated but there is interference minor and some tools cannot be operated with
the probability of failure being 1 in 20 and the chance of detection is high. After
calculating the RPN values for eleven Boeing 737-900ER Pitot Probe failure data
for the period January 2020 to November 2021, it can be concluded that of the
eleven failure modes that occurred in the Static and Total Air Pressure System, they
were in the low to high level category.