ARTIFICIAL NEURAL NETWORK IMPLEMENTATION ON IDENTIFICATING MAINTENANCE ACTION OF PLTGU PT BEKASI POWER’S HEAT RECOVERY STEAM GENERATOR

• Main Author: NARADI (NIM : 131060137); Pembimbing 1 : Dr. FX Sangriyadi Setio; Pembimbing 2 : Prof. Wiranto, JALU
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/16156
• Institution: Institut Teknologi Bandung

Maintenance is all activities needed to keep a goods condition to stay in the situation operation wanted. There are a few of tools which can used as a guide on choosing maintenance action. FMEA table is one of the examples. <br /> <br /> <br /> After evaluating process, table FMEA can't be used to solve a discrete maintenance problems. That defects can make a delay maintenance action when a discrete maintenance problems in the field happen. That's why a software which can think by itself and can give a maintenance act suggestion is needed. <br /> <br /> <br /> This final project talks about implementing Artificial Neural Network (ANN) to identificate maintenance action of PLTGU PT Bekasi Power’s Heat Recovery Steam Generator. ANN works based on recognizing a pattern of maintenance cases <br /> <br /> <br /> which often happen in the field, analyze a discrete maintenance cases, then match the analyzing result of the discrete data with the maintenance cases pattern which already recognized before. By implementing ANN into maintenance software, the software can analyze a maintenance problems discrete data and give a recommendation about a maintenance act should do.