Gantara power plant: Predictive Maintenance for an Industrial Machine

Abstract

This chapter is about an energy industry case study where we try to simulate data for predictive maintenance for an industrial machine. The case study is against a backdrop of a fictitious country in the future in the African region. It lays down the challenges of setting up a power plant in a third-world country from taking up the task of land acquisition to conceptualizing its design to actually setting it up. Also covered are the technical requirements for setting up a power plant and the technical specifications, which include industry-relevant land for the power plant so that you understand what a power plant really needs into order to be set up. If you are new or have some exposure to the energy industry, what you will find helpful is the table with the input processing and output format of the requirements of a power plant, which lays down the complete structure and the base of the enterprise. Although the characters, the situation, and the country are all fictitious, they will give you an idea of how socio-political environment pressures work on a basic thing like electricity energy generation. Also included as part of the case study is a machine learning engineer whose character is carefully chiseled in the case study to give you an understanding as to what pressures a typical machine learning engineer would go through when working with these kinds of problems. So let’s dive into our case study.