CNAM Webinar - Cost-Effective Infrastructure Monitoring Using Data-Driven Methods

Join the Canadian Network of Asset Managers (CNAM) on Wednesday, November 25, 2020 at 12:00 pm ET for a presentation on an emerging research topic by one of the members of CNAM’s New Professional Network.

Infrastructure monitoring and condition assessment is integral to asset management. Large‐scale civil infrastructure such as buildings, bridges, wind turbines, and pipeline systems are exposed to various external loads throughout their lifetime. Vibration caused by earthquakes, wind, temperature, or human‐made excitation initiates structural deterioration during their service lives and subsequently triggers catastrophic failure if not monitored continuously.

Sandeep Sony proposes advanced signal processing methods and deep learning-based computational tools to detect, localize, and quantify the severity of the damage in the structures. An approach is also developed to minimize the number of sensors required to create a financially viable option for infrastructure monitoring with limited sensors. A stadium prototype laboratory structure and a well-known Z24 bridge dataset are used to validate the proposed algorithms.

Learning objectives:

• Discover how to utilize vibration-based data for effective structural health monitoring.
• Understand the difference between parametric and non-parametric methods for structural health monitoring.
• Learn about various advanced signal processing methods to identify and visualize damage in structures.
• Get acquainted with deep learning-based methods to classify various types of damage

Speaker

Sandeep Sony, Ph.D. Candidate at Western University

Cost

FREE for all to attend

Register here:

CNAM NPN Webinar – Cost-Effective Infrastructure Monitoring Using Data-Driven Methods