Case Study: a large energy company predicts turbine cracks months in advance with BIRD Analytics

Large Energy Company - Customer Case Study

BIRD Analytics worked with a large energy company that manufactures gas turbines for power generation. The company was facing costly downtime and long repair cycles caused by machinery breakdowns from fissures and cracks, and it needed a highly accurate AI/ML solution to predict crack formation at least six months in advance.

BIRD Analytics analyzed 100GB of data from multiple plants, engineered features to understand failure patterns, and built an automated model to detect cracks before turbine failure and predict future failure timing. The solution also included a UI for loading data and viewing outcomes, resulting in an improved program that estimates the probability of crack formation or growth over the next few months, quarter, six months, and even a year.