Early Warning Prediction System for Jet Engines and Bridges
A Method for System Identification Using Noise-Induced Data
Tags: The Hong Kong University of Science and Technology, Hong Kong, Construction & Smart Cities, Computing Technology
This method predicts potential issues in systems like jet engines or bridges early on, using mathematical models to analyze behavior from safe conditions, avoiding pushing systems to their limits. It identifies system characteristics without crossing instability, validated in jet airflow experiments. It constructs a mathematical model from the system's stochastic response, determining nonlinearity order, bifurcation points, and limit-cycle dynamics. Useful across various fields for early instability warnings, it blends technical precision with practical applications.
IP Type or Form Factor: Patent Pending; Process & Method; Software & Algorithm
TRL: Not specified
Industry or Tech Area: Civil Engineering; Big Data Analytics & Simulations
