Learnings in predictive maintenence since my introduction to the topic during my masters thesis.
Experience
Welcome to my portfolio on predictive maintenance, which began with my master's thesis. Predictive maintenance is a proactive approach to maintaining equipment and machinery, utilizing data and analytics to predict when maintenance is needed before a failure occurs. As you explore my portfolio, you will see the various approaches that can be taken to predict failures on hardware, including the use of data analytics, machine learning algorithms, and sensor technologies, and the practical application of these techniques in real-world industrial settings.
Novelty Detection of Jet Engine Data
This project details the approach taken to the classification problem of novelty detection using Rolls Royce supplied data. The problem is movtivated by non-critical maintaince testing in the static test-bed environment.
