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WEPOPRPO18 |
Automated Availability Statistics |
ion, operation, controls, feedback |
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- P. Duval, H. Ehrlichmann, M. Lomperski
DESY, Hamburg, Germany
- J. Bobnar
Cosylab, Ljubljana, Slovenia
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The availability of any large machine with users is not only of paramount importance but is also an oft quoted number, taken to represent the overall health of the facility, reflecting on the maintenance, operation, and engineering of the machine. The officially quoted availability is typically generated by hand after perusing the operation statistics over the time period in question. When humans are involved in such calculations there might be a subtle tendency to avoid the stigma of low availability or otherwise inflate performance. This could lead to skepticism at 'impossibly high' availability, as well as render the comparison of availability from one machine with another moot. We present here a method for calculating the machine availability automatically, based on the known machine states and the known alarm states of the machine. Although sufficient, in order to be accurate and useful, the method requires a perfect representation of all possible machine states and of all possible fatal alarms. As achieving perfection is an ongoing affair, the ability for a human to 'post-correct' the automated statistics is also described.
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Poster WEPOPRPO18 [1.229 MB]
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-PCaPAC2016-WEPOPRPO18
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