You are required to write a report treating the subject of Machine Learning Based Condition Monitoring and Fault Detection in Engines. In this assignment you are required to do a literature review and propose an architecture. No implementation is expected. Write a report that covers the following: Introduction/Background where you discuss condition monitoring and fault detection for motors and assets in general as applied to industrial applications. Literature review where you summarise 4 to 6 research papers that apply machine learning to the problem of condition monitoring and fault detection. Requirements to build a model where you discuss the steps to follow if you were to build a machine learning model for condition monitoring and fault detection. In particular, discuss how you would obtain and pre-process the data and the machine learning models that could be used. Conclusion References

Structure and clearness of the report Formatting, writing, and lack of grammatical and spelling errors. Introduction/Background It is expected to provide a clear background on the problem clarifying: what it is, why to solve it, and where it is required to be solved.

Literature review It is expected to provide a comprehensive review of the literature summarising 4 to 6 research papers. Proposed methodology for building a model Suitability of the proposed methodology in terms of data acquisition, pre-processing, and machine learning model. A diagram/flowchart clarifying the steps to follow and the architecture is expected. Conclusion Clarity of the conclusion Referencing style and number of references cited A minimum of 4-6 high quality scholarly papers are expected to be cited.