Invited Research Lecture: Multivariate Sensor-Fusion and Signal processing for Condition-based Monitoring
Date: 07 May 2007 - 07 May 2007
Venue: Auditorium, Level 3, SIMTech Tower Block, 71 Nanyang Drive
Most of the major plant, factory, process, equipment and tool disruptions are preventable. The common faults include plugged lines, faulty sensors or actuators, inoperative alarm systems, poor controller tuning or configuration. Over the last decade the fields of multivariate statistics, controller performance monitoring techniques and Bayesian inference methods have merged to develop powerful sensing and condition-based monitoring systems for predictive fault detection and diagnosis. These sensor fusion methods with embedded digital intelligence are at a stage where such strategies are being implemented for off-line and on-line deployment. This invited lecture will outline the field of sensor fusion – the application of signal processing methods, in the temporal as well as spectral domains, on a multitude and NOT singular sensor signals to detect incipient process abnormality before catastrophic breakdown is likely to occur. The talk will be complemented with industrial case studies that are highly relevant to the control of manufacturing systems.
About the Speaker
Prof Sirish L Shah is a leading figure for developing practical and utilitarian process and performance-monitoring tools that are being used by industry to reduce costs, optimise process operations, and improve product quality. Prof Shah’s key research interests lie in the broad areas of advanced process control algorithms and methods for monitoring process and controller performance. Specifically, the focus of Dr Shah’s more recent research activity has been in the area of multivariate statistical analysis of plant data for control loop performance assessment, process monitoring, fault diagnosis, and development of new control-relevant identification algorithms for use in the design of model-based predictive controllers. He is currently Visiting Professor at the National University of Singapore.
2.45 pm: Registration
3.00 pm: Presentation (Session 1)
3.45 pm: Teabreak & Networking
4.15 pm: Presentation (Session 2)
5.00 pm: End
Who Should Attend
Industry professionals, managers, engineers, researchers, academic staff and students.
Pre-registration for the lecture is necessary. Seats are available on a first-come-first-served basis.