The Georgia Tech Research Corporation will use two industry-class gas turbine component test rigs to generate first-of-its-kind data for critical gas turbine faults with varying severity levels. These gas turbine test facilities will be examined using instrumentation techniques to build an open data collection that will support predictive algorithm development for combustors and turbines. The test conditions in the two test facilities will include, common, critical events that occur in the operation of power plants. The data will be correlated with physics-based models and first-principle relationships to improve component life predictions. Additionally, a comprehensive Big Data analytics methodology will be developed guided by the generated experimental data, industrial data from collaborators, and physics-based models with engineering domain knowledge. The effort will leverage existing research facilities that will generate the first publicly available data with simulated combustor and turbine faults.