CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Exploitable results
Leak detection in pipelines carrying hazardous substances should ensure a fast identification of even small leaks and a low rate of spurious alarms. The research has developed a system, based on the artificial neural network technology, that receives the measured data on the line, which is able to detect leaks as small as 1% of the line operating flowrate, with a negligible rate of spurious alarms, even in the case of sensor failure or drift.
The system has been developed for a line carrying ammonia and for one carrying liquefied petroleum gas, and has been tested on a small scale experimental rig. The system can be fitted to any existing pipeline, and its performances will depend on the process measurement system already installed.
Searching for OpenAIRE data...
There was an error trying to search data from OpenAIRE
No results available