Wendy Laursen of The Motorship magazine covers DEXTER in the November 2012 issue. She explains how alarm flooding due to poor sensor maintenance can desensitize operators and hide important machinery plant problems. Read More
Sensors are the eyes and ears of your automation. Their health is essential to all shipboard monitoring and control functions that require reliable data to synthesize decisions.
In Part 2 of this series, we present some advanced research involving two multivariate machine learning algorithms; nonlinear state estimation and support vector machines, both applicable to shipboard sensor diagnostics. Data collected from a ship’s main propulsion gas turbine engine is used in the case study.
Sensors are the eyes and ears of your automation. Their health (i.e. accuracy and reliability) is essential to all shipboard monitoring and control functions that require reliable data to synthesize decisions, which pretty much includes everything. What is surprising is that, even with this critical role in machinery control, sensor health has received scant attention in the marine industry. In fact, they represent the weak link in modern automation and control systems, from both a safety and a health monitoring perspective.