SRF2019 - List of Keywords (database)

Paper	Title	Other Keywords	Page
TUP103	Pansophy Data as Used to Develop Metrics and Evaluate Trends Across SRF Projects and Facilities to Further Quality Improvement Initiatives	cryomodule, status, SRF, cavity	718
	M.G. McDonald, V.D. Bookwalter, M. Dickey, E.A. McEwen JLab, Newport News, Virginia, USA
	Pansophy, a JLAB SRF engineering data management system (EDMS), is composed of a collection of technolo-gies that together provide for the collection, management and analysis of data for the production and testing of cavities and cryomodules. From its inception in 2000, when data collection was a priority for such projects as SNS, CEBAF 12GeV upgrade, LCLS-II, and in the future the SNS-PPU, the focus has turned to data analysis and reporting on quality metrics and key performance indica-tors (KPIs). Reporting enhancements include monthly quality metrics, project specific KPIs, and trending across projects. With the use of Pareto Charts to help analyze vendor quality and non-conformance, timelines of pro-ject and facility metrics, project managers and subject matter experts (SME) are able to look for trends and pre-pare further quality improvement initiatives for their projects.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-SRF2019-TUP103
About •	paper received ※ 20 June 2019 paper accepted ※ 30 June 2019 issue date ※ 14 August 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THP099	The ESS Database for Elliptical Cavities	cavity, HOM, SRF, cryomodule	1152
	P. Pierini, C.G. Maiano ESS, Lund, Sweden A. Bosotti, D. Sertore INFN/LASA, Segrate (MI), Italy E. Cenni CEA-IRFU, Gif-sur-Yvette, France M. Wang IHEP, Beijing, People’s Republic of China
	The large inkind scope of the elliptical superconducting RF linac of the ESS facility implies the handling of handover conditions between the cavities fabrication and testing phases performed at INFN and STFC, to the assembly of cryomodules at CEA and later to ESS in Lund. The performance qualification at the module test stand, and later the commissioning and operation phases require the availability of the cavity performance and frequency data under all environmental conditions during preparation (e.g. temperature, vacuum in beam line/He vessel/vacuum vessel, tuner state). Availability of the data needs to be guaranteed for the long term maintainability of the accelerator. For these reasons a cavity database has been set up at ESS, integrating the data contained in the handover documentation from the inkind partners and extending it during the activities at ESS after receiving the modules. The database has been used to analyze the preparation steps of the prototype demonstrator cryomodule for the tests at ESS, by benchmarking with the data collected during the tests at CEA, and is currently used during the series cavities handover phases.
	Poster THP099 [10.434 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-SRF2019-THP099
About •	paper received ※ 03 July 2019 paper accepted ※ 04 July 2019 issue date ※ 14 August 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

Pansophy Data as Used to Develop Metrics and Evaluate Trends Across SRF Projects and Facilities to Further Quality Improvement Initiatives

cryomodule, status, SRF, cavity

718

M.G. McDonald, V.D. Bookwalter, M. Dickey, E.A. McEwen
JLab, Newport News, Virginia, USA

Pansophy, a JLAB SRF engineering data management system (EDMS), is composed of a collection of technolo-gies that together provide for the collection, management and analysis of data for the production and testing of cavities and cryomodules. From its inception in 2000, when data collection was a priority for such projects as SNS, CEBAF 12GeV upgrade, LCLS-II, and in the future the SNS-PPU, the focus has turned to data analysis and reporting on quality metrics and key performance indica-tors (KPIs). Reporting enhancements include monthly quality metrics, project specific KPIs, and trending across projects. With the use of Pareto Charts to help analyze vendor quality and non-conformance, timelines of pro-ject and facility metrics, project managers and subject matter experts (SME) are able to look for trends and pre-pare further quality improvement initiatives for their projects.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-SRF2019-TUP103

About •

paper received ※ 20 June 2019 paper accepted ※ 30 June 2019 issue date ※ 14 August 2019

Export •

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

THP099

The ESS Database for Elliptical Cavities

cavity, HOM, SRF, cryomodule

1152

P. Pierini, C.G. Maiano
ESS, Lund, Sweden
A. Bosotti, D. Sertore
INFN/LASA, Segrate (MI), Italy
E. Cenni
CEA-IRFU, Gif-sur-Yvette, France
M. Wang
IHEP, Beijing, People’s Republic of China

The large inkind scope of the elliptical superconducting RF linac of the ESS facility implies the handling of handover conditions between the cavities fabrication and testing phases performed at INFN and STFC, to the assembly of cryomodules at CEA and later to ESS in Lund. The performance qualification at the module test stand, and later the commissioning and operation phases require the availability of the cavity performance and frequency data under all environmental conditions during preparation (e.g. temperature, vacuum in beam line/He vessel/vacuum vessel, tuner state). Availability of the data needs to be guaranteed for the long term maintainability of the accelerator. For these reasons a cavity database has been set up at ESS, integrating the data contained in the handover documentation from the inkind partners and extending it during the activities at ESS after receiving the modules. The database has been used to analyze the preparation steps of the prototype demonstrator cryomodule for the tests at ESS, by benchmarking with the data collected during the tests at CEA, and is currently used during the series cavities handover phases.

Poster THP099 [10.434 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-SRF2019-THP099

About •

paper received ※ 03 July 2019 paper accepted ※ 04 July 2019 issue date ※ 14 August 2019

Export •

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