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School of IE&M Seminar

A Product Monitoring Framework for Holistic Lifecycle Management via Embedded Sensors

Sagar Kamarthi

Associate Professor

Dept. of Mechanical and Industrial Engineering

Northeastern University, Boston

Time: 1:30PM-2:30PM, Friday April 27 2007

Venue: EN 511

Abstract:

This talk presents a vision for holistic product lifecycle management via embedded sensors. The main goal of the proposed product monitoring framework is to cut down the product repair/service costs, ratchet up the recovery of end-of-life products, and curtail the product disposal rate. The talk focuses on desktop computers to demonstrate the approach; however the concepts and methods presented herein are equally applicable to a wide variety of electronic consumer products such as printers, copiers, home/office networking devices, aerospace systems, automotive electronics, and medical electronics. It is in this context that the talk presents the details of a novel feature extraction method through discrete wavelet transform coefficients.

Discrete wavelet transform has become a widely used feature extraction tool in pattern recognition and pattern classification applications. In most practical applications using all wavelet coefficients as features is not desirable – the enormity of data and irrelevant wavelet coefficients are likely to adversely affect the performance of the classifier. In the proposed feature extraction method, Shannon’s entropy measure is used for identifying competent wavelet coefficients. The features are formed by calculating the energy of coefficients clustered around the competent clusters. The method is tested on several benchmark classification problems. The experimental results show that the new method performs better than or on par with other leading feature extraction methods.

Bio:

Professor Kamarthi is an Associate Processor of Industrial Engineering and Associate Director of the Laboratory for Responsible Manufacturing at the Northeastern University, Boston, MA. He received his MS and PhD degrees from the Pennsylvania State University. He teaches courses in CAD/CAM, Mass Customization, and offers the capstone design courses at the Northeastern University. His research on Product Realization for Recylability and Reusability, Advanced Sensor Data Processing, Mass Customization Approaches and Engineering Education has yielded over 40 peer-reviewed publications, received multiple best paper awards, and over $2.5M worth of research funding, including three current awards from NSF.