EVALUATION OF MACHINE LEARNING USE FOR PREDICTIVE MAINTENANCE OF RAILWAY VEHICLES
In this information age, the use of computers and various digital devices is familiar in everyday life. These devices can assist in human work by processing information and data quickly. Thus, the application of these devices in the industry can increase productivity. In Indonesia, several sectors a...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/62338 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In this information age, the use of computers and various digital devices is familiar in everyday life. These devices can assist in human work by processing information and data quickly. Thus, the application of these devices in the industry can increase productivity. In Indonesia, several sectors are trying to adapt and implement digitalization in their business processes.
One of these sectors is the transportation industry, where now many transportation systems utilize the latest technology in their business processes. Here is the opportunity for PT Kereta Api Indonesia to carry out the Digital Transformation. Among the various business processes that can be digitized, asset maintenance or maintenance is essential in railroad operations.
This thesis will discuss the potential of predictive maintenance can be useful in ensuring that trains vehicles are in good condition by utilizing the artificial intelligence method of machine learning, which can help automate routine checks by classifying its condition from the on-board sensors. |
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