Accurate Noise-Reduced Strain Computation via PCA Analysis
A Method of Computing Strains from Full-Field Data
Tags: IIT Madras, India, Computing Technology, Consumer Goods & Services
IIT Madras has developed a method to compute strains from full-field data using Principal Component Analysis (PCA) to reduce dimensionality and eliminate noise in displacement data. This technique applies to homogeneous and inhomogeneous strain fields, yielding accurate and memory-efficient results. Applications include analyzing full-field deformation data for LCD/LED screens and other displacement-dependent systems. The method provides physical insights into deformation patterns, enhancing accuracy and speed in strain computation. A patent (IN 516322) has been granted, securing the intellectual property of this innovative approach.
IP Type or Form Factor: Patent Granted; Software & Algorithm
TRL: 3 - proof of concept with needs validated
Industry or Tech Area: Big Data Analytics & Simulations; Home Appliances & Consumer Electronics
