Lecture: April 24, 2012

www.stanford.edu/class/ee392n


Advanced Sensors and Monitoring & Diagnostics for Gas Turbines in GE

Vivek V. Badami, General Electric Energy Engineering

Bio

Vivek did his Bachelor’s degree in Electrical Power Engineering, from the Indian Institute of Technology, Madras, Master’s in Electrical Engineering from the University of Rhode Island, and a Ph.D in Electrical & Computer Systems Engineering from Rensselaer Polytechnic Institute in 1998.

He started his career as a software engineer in Computervision Corp., Boston in 1977, moving to Digital Equipment Corp., in Andover, MA in 1981, working on Robotics.

Vivek joined GE in 1984 into the Automation Systems Lab., and spent 16 years at the Niskayuna Global Research Center, designing and developing a number of sensor and control technologies and products for various GE businesses, such as consumer products, medical systems, and aircraft engines. This work has resulted in GE products over the years, such as process controls for industrial diamonds, energy-saving controls for appliances, and on-board fault diagnostics for aircraft engines. Vivek is 6Sigma certified, and served as quality leader for the Control Systems & Electrical technologies laboratory at GRC in 1998. Since 2000, he has been with GE Energy in Schenectady, leading projects in the areas of steam turbine remote monitoring and diagnostics, environmental control technologies, fuel flexibility products for Gas Turbines, and sensors for gas turbines.

Vivek is currently a Principal Engineer in the GE Energy Engineering organization in the Advanced Technology Operation, located in Schenectady. He leads the advanced sensors, and turbine monitoring & diagnostics activity in ATO.

Vivek has 15 publications, and holds 37 patents.

Abstract

Advanced sensing and analytics are being used increasingly in power systems, to improve diagnostic and prognostic capabilities for expensive power generation equipment, increase performance and operability, estimate remaining useful life, and manage risk. A wide variety of technologies, from recent sensing technologies to advanced analytics, are being used by power generation equipment manufacturers, and utilities.

This talk will focus on sensor and monitoring & diagnostics (M&D) technologies for gas turbines. Case studies in the development and field deployment of sensor and M&D technologies, covering the aspects of signal processing, feature extraction, anomaly detection, and real-world implementation issues will be described.

Lecture Notes

Advanced Sensors and Monitoring & Diagnostics for Gas Turbines in GE (PDF)