ICALEPCS2017 - List of Authors (Liu, J.)

Paper	Title	Page
TUPHA001	Research on Fault Diagnosis of Power Supply Control System on BEPCII	361
	D. Wang, J. Liu, X.L. Wang IHEP, Beijing, People's Republic of China
	The reliable and stable operation of the accelerator is the premise and foundation of physics experiments. For example, in the BEPCII, the fault of the magnet power supply front-end electronics devices may cause accelerator energy instability and even lead to beam loss. Therefore, it is very necessary to diagnose and locate the device fault accurately and rapidly, that will induce the high cost of the accelerator operation. Faults diagnosis can not only improve the safety and reliability of the equipment, but also effectively reduce the equipment's cycle costing. The multi-signal flow model proposed by Pattipati K.R is considered as the preferred method of industrial equipment faults detection. However, there are still some problems about fault probability conflict in the processing of correlation matrix diagnosis due to the hierarchical nature of multi-signal flow modeling. Thus we develop the fault diagnosis strategy based on the important prior knowledge of the fault. This method is applied to the front-end electronic devices of BEPCII magnet power supply control system and improves the fault diagnosis and analysis ability of magnet power supply control system.
	Poster TUPHA001 [0.446 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA001
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Research on Fault Diagnosis of Power Supply Control System on BEPCII

361

D. Wang, J. Liu, X.L. Wang
IHEP, Beijing, People's Republic of China

The reliable and stable operation of the accelerator is the premise and foundation of physics experiments. For example, in the BEPCII, the fault of the magnet power supply front-end electronics devices may cause accelerator energy instability and even lead to beam loss. Therefore, it is very necessary to diagnose and locate the device fault accurately and rapidly, that will induce the high cost of the accelerator operation. Faults diagnosis can not only improve the safety and reliability of the equipment, but also effectively reduce the equipment's cycle costing. The multi-signal flow model proposed by Pattipati K.R is considered as the preferred method of industrial equipment faults detection. However, there are still some problems about fault probability conflict in the processing of correlation matrix diagnosis due to the hierarchical nature of multi-signal flow modeling. Thus we develop the fault diagnosis strategy based on the important prior knowledge of the fault. This method is applied to the front-end electronic devices of BEPCII magnet power supply control system and improves the fault diagnosis and analysis ability of magnet power supply control system.

Poster TUPHA001 [0.446 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA001

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)