ANALISIS KEGAGALAN KOMPONEN PITOT PROBE
PESAWAT BOEING 737-900ER MENGGUNAKAN METODE
FAILURE MODE AND EFFECT ANALYSIS (FMEA) DAN
DISTRIBUSI WEIBULL
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Institusion
INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO
Author
Cristhina, Cristhina
Subject
T Technology (General)
Datestamp
2024-02-15 08:15:12
Abstract :
Based on Boeing 737-900ER unscheduled removal data of pitot probe 0851HT-1 January, 2020 to November, 2021 found 14 removal for pitot probe with one of the defect is ?pitot light on?. This indicate that there is a problem with the component and can disrupt the pilot and delay the aircraft. Knowing the result of failure identification and the type of failure be the aim of this research. Analysis using Failure Mode and Effect Analysis used to identify failure modes, causes and effects of failure, severity, occurrence, and detection ranking so that the risk priority number obtained. Weibull distribution calculation to determine the type and time of failure. Based on the FMEA Worksheet, there are 8 failure modes that occur on the pitot probe with the highest Risk Priority Number is 126 on mode ?IAS AND ALT DISAGREE?. Based on Weibull distribution calculations obtained a value of ? = 4.86097 which indicates wear out failure in accordance with the parameter ? > 1 means that component has failed because it has exceeded the service life limit. Based on Mean Time to Failure value obtained 22864 hours which average pitot probe will function until failure up to 22864 hours.
Based on Boeing 737-900ER unscheduled removal data of pitot probe 0851HT-1 January, 2020 to November, 2021 found 14 removal for pitot probe with one of the defect is ?pitot light on?. This indicate that there is a problem with the component and can disrupt the pilot and delay the aircraft. Knowing the result of failure identification and the type of failure be the aim of this research. Analysis using Failure Mode and Effect Analysis used to identify failure modes, causes and effects of failure, severity, occurrence, and detection ranking so that the risk priority number obtained. Weibull distribution calculation to determine the type and time of failure. Based on the FMEA Worksheet, there are 8 failure modes that occur on the pitot probe with the highest Risk Priority Number is 126 on mode ?IAS AND ALT DISAGREE?. Based on Weibull distribution calculations obtained a value of ? = 4.86097 which indicates wear out failure in accordance with the parameter ? > 1 means that component has failed because it has exceeded the service life limit. Based on Mean Time to Failure value obtained 22864 hours which average pitot probe will function until failure up to 22864 hours.
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