Monitoring de turbine hydraulique

Hydraulic turbine monitoring

Société Neyrpic-GEC Alsthom, Grenoble

Abstract

Early detection of a unit failure greatly increases its reliability. To do this, an accurate knowledge of the unit behaviour is required. Obviously, computer aided data storage and analysis will increase this knowledge. However, its success depends on the good choice of sensors and an efficient method of data analysis. We propose a concrete approach to set up progressively an accurate and efficient remote unit supervision.