IMPLEMENTATION OF FAILURE MODE AND EFFECT ANALYSIS (FMEA) AND FAULT TREE ANALYSIS (FTA) IN RELIABILITY CENTERED MAINTENANCE (RCM): APPLICATION ON MICRO HYDRO POWER PLANT CASE

• Main Author: Muhammad Hadiutama, Nur
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/53726
• Institution: Institut Teknologi Bandung

As general, failure is defined as inability of components to fulfill its function. Failure is also about inappropriate with the design specification or lack of performance of a system is also accounted to a failure of system. If a system fails, it is importance that the failure is corrected quickly. There are two failure analysis methods that are commonly used for failure analysis, which are Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). This bachelor thesis proposed the implementation of Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) in Reliability Centered Maintenance (RCM) methodology to the develop a structured maintenance method is proposed that is effective to determine all relevant failure modes effectively, while also calculate the reliability of the system thoroughly for a micro hydro power plant. The micro hydro power plant consists of civil building, mechanical-electrical and distribution. The step is by defining the micro hydro power plant critical system, boundaries and it function and functional failure. From that information, FMEA and FTA can be built. FMEA specify the severity, occurrence, and detection of the failure, also the recommendation action to mitigate the failure. FTA describe the causative relationship between the failure and the top event, also calculate the reliability of the overall hydro power plant system. From those two analyses, proper maintenance task can be define based on Logic Tree Analysis (LTA) from RCM program. By using LTA, choosing appropriate maintenance task can be easier and consistent. After the analysis, by designing the guide vane screw protection, the reliability of turbine can be increase significantly on guide vane sub-system, which lead to overall system reliability from 49.4% to 53.3%.