ICALEPCS2013 - List of Authors (Ounsy, M.)

Paper

Title

Page

Using an Expert System for Accelerators Tuning and Automation of Operating Failure Checks

1434

M. Ounsy, S. Pierre-Joseph Zéphir, G. Viguier
SOLEIL, Gif-sur-Yvette, France
E. De Ley
iSencia Belgium, Gent, Belgium

Today at SOLEIL abnormal operating conditions cost many human resources involved in plenty of manual checks on various different tools interacting with different service layers of the control system (archiving system, device drivers, etc.) before recovering a normal accelerators operation. These manual checks are also systematically redone before each beam shutdown and restart. All these repetitive tasks are very error prone and lead to a tremendous lack in the assessment of beam delivery to users. Due to the increased process complexity and the multiple unpredictable factors of instability in the accelerators operating conditions, the existing diagnosis tools and manual check procedures reached their limits to provide practical reliable assistance to both operators and accelerators physicists. The aim of this paper is to show how the advanced expert system layer of the PASERELLE* framework, using the CDMA API** to access in a uniform way all the underlying data sources provided by the control system, can be used to assist the operators in detecting and diagnosing abnormal conditions and thus providing safe guards against these unexpected accelerators operation conditions.
*http://www.isencia.be/services/passerelle
**https://code.google.com/p/cdma/

Slides THCOCB04 [1.636 MB]

Paper	Title	Page
THCOCB04	Using an Expert System for Accelerators Tuning and Automation of Operating Failure Checks	1434
	M. Ounsy, S. Pierre-Joseph Zéphir, G. Viguier SOLEIL, Gif-sur-Yvette, France E. De Ley iSencia Belgium, Gent, Belgium
	Today at SOLEIL abnormal operating conditions cost many human resources involved in plenty of manual checks on various different tools interacting with different service layers of the control system (archiving system, device drivers, etc.) before recovering a normal accelerators operation. These manual checks are also systematically redone before each beam shutdown and restart. All these repetitive tasks are very error prone and lead to a tremendous lack in the assessment of beam delivery to users. Due to the increased process complexity and the multiple unpredictable factors of instability in the accelerators operating conditions, the existing diagnosis tools and manual check procedures reached their limits to provide practical reliable assistance to both operators and accelerators physicists. The aim of this paper is to show how the advanced expert system layer of the PASERELLE* framework, using the CDMA API** to access in a uniform way all the underlying data sources provided by the control system, can be used to assist the operators in detecting and diagnosing abnormal conditions and thus providing safe guards against these unexpected accelerators operation conditions. http://www.isencia.be/services/passerelle *https://code.google.com/p/cdma/
	Slides THCOCB04 [1.636 MB]