Conference paper
FaultBuster: data driven fault detection and diagnosis for industrial systems
In
7th Workshop on Advanced Control and Diagnosis
—
2009
Abstract
Efficient and reliable monitoring systems are mandatory to assure the required security standards in industrial complexes. This paper describes the recent developments of FaultBuster, a purely data-driven diagnostic system. It is designed so to be easily scalable to different monitor tasks. Multivariate statistical models based on principal components are used to detect abnormal situations.
Tailored to alarms, a probabilistic inference engine process the fault evidences to output the most probable diagnosis. Results from the DX 09 Diagnostic Challenge shown strong detection properties, while further investigations of the diagnostic system are still needed.
| Language: | English |
|---|---|
| Year: | 2009 |
| Proceedings: | 7th Workshop on Advanced Control and Diagnosis |
| Types: | Conference paper |
