DIESEL ENGINE CONDITION MONITORING USING BACKPROPAGATION NEURAL NETWORKS METHOD

• Main Author: ARIFAKHROJI (NIM : 13106101); Tim Pembimbing : Dr. Ir. FX Sangriyadi Setio, Prof. Wiranto Aris, DENI
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/15325
• Institution: Institut Teknologi Bandung

Maintenance based on monitoring conditions at the present time widely used in industry because it can increase the reliability of a machine that will be monitored. On maintenance based on monitoring condition, vibration is used to indicate the actual condition of a machine being monitored. One condition monitoring based care which is mostly done on a with high power diesel engine. Diesel is one type of engine that produces a large vibration compared with the type of rotation engine, therefore the analysis used to determine the health condition of a diesel engine vibration data is important, because of the diesel engine vibration data contain information of the condition from diesel engine. And one of the method which can be used to diagnostic health of the diesel engine based on symptom-symptom of the vibration analysis data that can be used by using the method of neural network. This research purposed to make a program that can be used to analyze the condition of a diesel engine from vibration measurenment data. Program that are created using the method of back propagation neural network. By providing the patterns and studying the data damage that occurs in a diesel engine, the program can predict the condition that occurs in a diesel engine to be monitored.