Data Science in Heavy Industry and the Internet of Things
Completion requirements
This paper provides a case study highlighting the difficulties of building and implementing analytics in IoT using equipment data in an industrial setting. How do you see these same issues applying to other industries? What are similar issues that may exist in your industry?
3. Predictive Maintenance
Machines and components inevitably wear, degrade, and break. Per the examples in Section 2, this can be costly and negatively affect key productivity measures. Companies using heavy equipment create reliability strategies to deal with wear-out and breakages while simultaneously maintaining productivity. Periodic oil changes, for example, are part of a reliability strategy. A decision to run a piece of equipment to failure is a valid reliability strategy as well. Given that reliability is important for companies across many different industries, we provide a deeper dive on predictive maintenance, one of the more technical ways data scientists can help improve equipment reliability.