Thesis Open Access
Use of artificial intelligence for predictive maintenance and management of Addis Ababa Light Rail Transit
Liban Ali Abdi
Condition based monitoring is gaining much importance in the industry because of the need to increase machine reliability and reduce the potential loss of production due to breakdowns caused by different defects. In this thesis, we are interested in a condition based monitoring techniques using artificial neural network approach, especially Multiple Layer Perceptron (MLP). The multiple layer perceptron networks trained with backpropagation algorithm are very frequently used to solve a classification problems. In order to keep the machine performing at its best, one of the principal tools for the diagnosis of signaling equipment problems is the acoustic analysis and also vibration analysis which can be used to extract the fault features and then identify the fault patterns. In addition, there is a demand for techniques that can make decision on the running health of the machine automatically and reliably
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- Publication date:
- December 1, 2017
- DOI:
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- License (for files):
- Creative Commons Attribution