The team at GE Research has a unique set of capabilities that enable the efficient optimization of designs with high uncertainty in design parameters. Combining test data, with both high and low fidelity analysis, we use advanced mathematical methods to minimize cost and development time while maximizing system performance.
Our team develops, validates and applies novel methods to reduce model complexity, quantify uncertainty and maximize the use of the sparse data usually available in engineering design. These techniques allow us to efficiently achieve optimal designs under engineering uncertainty.
Usage Based Lifing
Using physics of failure, operating information and advanced probabilistic methods, our team can create a physics-based “digital twin” to estimate the performance and remaining life of our machines months or years before a problem arises. This has allowed unprecedented capability in maintenance planning for our customers.