Transmission System Faults Detection - Engineering Assignment Help

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Assignment Task:

Task:

THE BRIEF/INSTRUCTIONS This design study is to give you an insight into selected aspects of machine intelligence (MI) applied to detection and classification of faults in a mechatronic system. You are asked to solve various tasks related to a design of a MI system, including features selection, dimensionality reduction, classification and the MI system quantitative evaluation.
This design study will test your ability to:
Design methods and processes necessary for deployment of an artificial intelligence system for quantitative evaluations of a mechatronic system. Recognize software design challenges behind implementations of machine learning algorithms. Design and optimise software to meet specified requirements. Design and provide a working solution for faults detection in a transmission system. These correspond to point 1, 2, 3 and 4 of the module learning outcomes. The objective of this design study is to conceive a system for detecting defects in a transmission system. Three types of defects are considered: gear tooth, sensor drift and shaft wear faults. The transmission system was modelled using Simulink. For various configuration and severity of the faults, a vibration of the transmission casing was recorded for the further analysis. For the purpose of this assignment 1,000 simulations were executed with eight possible different combinations of the three faults, including simulations without any faults of the transmission system. Subsequently, 18 different features calculated from the time and frequency domains of the casing vibration signal were recorded. All the results have been logged in the TrainingData table.

 

Marking scheme
Your report should contain the following elements; it will be marked in accordance with the following
marking scheme:

Item Weight (%)

1. Feature selection / dimensionality reduction 15
2. Machine Learning algorithm selection and training 40
3. Quantitative evaluation of the proposed system 30
4. Presentation of the report 15

 

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