Reliability studiesReliability studies for a ...€¦ · reliability model of the driver...

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Mol, Belgium, 6-9 May 2007 Fifth International Workshop on the Utilisation and Reliability of High Power Proton Accelerators Reliability studies Reliability studies for a superconducting driver for an ADS linac for an ADS linac Paolo Pierini, Luciano Burgazzi Work supported by the EURATOM 6° framework program of the EC, under contract FI6W-CT-2004-516520

Transcript of Reliability studiesReliability studies for a ...€¦ · reliability model of the driver...

Page 1: Reliability studiesReliability studies for a ...€¦ · reliability model of the driver superconducting linac o f High Power Pr reliability model of the driver superconducting linac

Mol, Belgium, 6-9 May 2007

Fifth International Workshop on the Utilisation and Reliability of High Power Proton Accelerators

, g , y

Reliability studiesReliability studies for a superconducting driver

for an ADS linacfor an ADS linacPaolo Pierini, Luciano Burgazzig

Work supported by the EURATOM 6°framework program of the EC, under contract FI6W-CT-2004-516520

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The activityot

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or • Starting with FP5 PDS-XADS we have started developing a qualitative FMEA + a lumped-component reliability model of the driver superconducting linac

of H

igh

Pow

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ro reliability model of the driver superconducting linac– preliminary “parts count” assessment presented at HPPA4

f f

and

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o • Extended study to variety of linac configurations» RESS 92 (2007) 449-463

– concentrate on design issues rather than component data

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– fault tolerance implementation– missing of a exhaustive and representative reliability parameter

database

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• FP6 EUROTRANS assumes the same linac layout• Study extended to show sensitivity to component

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reliability characteristics

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Outcome of FP5 PDS-XADS activitiesot

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or • Three project deliverables dedicated to reliability assessments– Qualitative FMEA

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– RBD analysis– Assessment of (lack of) existing MTBF

database for components

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o – Identification of redundant and fault tolerant linac configurations intended to provide nominal reliability characteristics

on th

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n characteristics

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Definition of the reliability objectivesot

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or • Define a Mission Time, the operation period for which we need to carry out estimations – Depends on design of subcritical assembly/fuel cycle

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ro Depends on design of subcritical assembly/fuel cycle

• Define parameter for reliability goal– Fault Rate, i.e. Number of system faults per mission

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– Availability– No concern on R parameter at mission time

• R is the survival probability

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y• relevant for mission critical (non repairable environments)

• Provide corrective maintenance “rules” on elementsComponents in the accelerator tunnel can be repaired only

onal

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p o – Components in the accelerator tunnel can be repaired only

during system halt• Personnel protection issues in radiation areas

Redundant components in shielded areas can be repaired

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– Redundant components in shielded areas can be repaired immediately

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Reliability goalot

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or • Assumed XT-ADS– 3 months of continuous operation with < 3 trips per period– 1 month of long shutdown

of H

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ro 1 month of long shutdown– 3 operation cycles per year– 10 trips per year

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– no constraints on R

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Mission Time 2190 hoursG l MTBF 700 h

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p o Goal MTBF ~ 700 hours

Goal number of failures per mission ~ 3Reliability parameter Unconstrained

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y p

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RAMSot

on A

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or • Baseline idea: use a commercial available RAMS tool for formal accelerator reliability estimations– Powerful RBD analysis

of H

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Pow

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ro Powerful RBD analysis– Montecarlo evalutation– Elaborated connection configurations

H t ll li

and

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o • Hot parallelism• Standby parallelism• Warm parallelism

“k/ ” ll li

on th

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n • “k/n” parallelism– Many options for maintenance schemes and actions (both

preventive & corrective, “kludge fixes”, etc.)E fi h t f il fi h t f il (it’ th

onal

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p o • Eg: fix when system fails or fix when component fail (it’s the same

only for series connection)• can easily account for maintenance cost and repair and spare

logistics

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logistics– Not used at all in accelerator community

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What kind of faults are in component MTBF?ot

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or • MTBF is used for random failure events• Every failure that is highly predictable should get out of

the MTBF estimations and goes into the (preemptive)

of H

igh

Pow

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ro the MTBF estimations, and goes into the (preemptive) maintenance analysis– eg. Components wear out, failures related to bad design, Aging

(if f t t f il t l i )

and

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o (if we perform a constant failure rate analysis)

• Example: CRT Monitor in a RBD block– MTBF of 100.000 h

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n 00 000– But we know that CRT phosphors do not last 11 years! Monitors

need to be changed after 5.000 h of operations or so.– The “bath-tub” curve

onal

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p o The bath tub curve…

• Trivial concepts within communities where reliability standards have been applied since decades

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– Not so clear in accelerator community, hence confusing DB

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Design issuesot

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or • Often many “reliability” problems can be truly identified as component design issues (weak design) or improper operation (above rated values)

of H

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Pow

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ro operation (above rated values)• e.g. very successful SNS operation

– problems due to components providing iti l f ti liti b t ith f il

and

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o non critical functionalities but with failure modes with drastic consequences

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non

al W

orks

hop

oFi

fth In

tern

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rsot

on A

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orof

Hig

h Po

wer

Pro

and

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oon

the

Util

isat

ion

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p o

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LHCot

on A

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or Also design reviews and risk analysis

d

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ro proceduresare different in the 2 communities

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March 2007 LHC t

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n LHC magnet failure in tunnel

f

onal

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test condition was not in the design specs

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design specs

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But also cases of significant design effort ot

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or • LHC Machine Protection system– Energy stored in each of the 2 proton beams will be 360 MJ– If lost without control serious damage to hardware

of H

igh

Pow

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ro If lost without control serious damage to hardware• 1 kg of copper melts with 700 kJ

– Analysis meant to trade off safety (probability of undetected beam losses leading to machine damage) and availability

and

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o beam losses leading to machine damage) and availability (number of false beam trips per year induced by the system)

– Complete reliability modeling

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• LHC magnetsQuench Protection System

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– Huge energy stored inSC magnets (10 GJ)

– Needs to be gracefully

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Needs to be gracefullyhandled

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Lumped components databaseot

on A

ccel

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or • Reduce the accelerator complexity to a simple system• System composed of “lumped” components

Various sources: IFMIF SNS APT estimates internal eng judg

of H

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Pow

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ro – Various sources: IFMIF, SNS, APT estimates, internal eng. judg.– + a bit of optimism and realism

System Subsystem MTBF (h) MTTR (h)

and

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o Injector Proton Source 1,000 2

RFQ 1,200 4

NC DTL 1,000 2

Support Systems Cryoplant 3,000 10

on th

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n pp y y p ,

Cooling System 3,000 2

Control System 3,000 2

RF Unit High Voltage PS 30,000 4

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p o Low Level RF 100,000 4

Transmitters 10,000 4

Amplifier 50,000 4

Power Components 100,000 12

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Beam Delivery System Magnets 1,000,000 1

Power Supplies 100,000 1

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MTBF dataot

on A

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or • We cannot rely on MTBF data sources for typical accelerator components (usually special components)

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• The set of data is used to develop a system scheme that guarantees the proper reliability characteristics with the

and

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o given components by using– fault tolerance capabilities– redundancy patterns

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• Experimental activities foreseen within EUROTRANS will provide more knowledge on some of the reliability

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p o provide more knowledge on some of the reliability

characteristics of the key components

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• Also SNS operational experience is very relevant

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EUROTRANS linacot

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96 RF units 92 RF units

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Parts countot

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or • With a “parts count” estimate we come to an obviously short MTBF ~ 30 h

• Split into:

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ro • Split into:– Injector: 7.7%– Spoke linac: 45.4%

and

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– High energy linac: 43.5%– Beam line: 0.6%– Support systems: 2.7%

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pp y

• Of course, the highest number of components is in the li ( l 100 RF it h ith h RF it

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p o linac (nearly 100 RF units each, with each RF units

having an MTBF of 5700 h...• That already suggests where to implement strategies for

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y gg p gredundancy and fault tolerance implementation

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SubsystemsInjector

oton

Acc

eler

ator Injector

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S t S t Standard support systems with MTBFs only moderately

and

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o Support Systems Standard support systems, with MTBFs only moderately tailored to mission time. Each system R(Mission time) = 0.48.

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RF Units

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RF Unit MTBF (full) ~ 5700 hours

RF Unit MTBF (in-tunnel) ~ 6100 hours

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Initial Scenario – All Series, no redundancyot

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or • Worst possible case– similar to parts count

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• All component failures lead to a system failure

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• Poor MTBF• Too many failures

per mission

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• Mostly due to RF units5700/188 30 32 h

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p o • 5700/188 = 30.32 h

System MTBF 31.2 hours

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Number of failures 70.23

Steady State Availability 87.2 %

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Mitigating occurrence of faults by system designot

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or • Clearly, in the region where we are driven by high number of moderately reliable components we don’t want a series connection (where each component fault

of H

igh

Pow

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ro want a series connection (where each component fault means a system fault)– Need to provide fault tolerance

and

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• Luckily, the SC linac has ideal perspectives for introducing tolerance to RF faults:

on th

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n introducing tolerance to RF faults:– highly modular pattern of repeated components providing the

same functions (beam acceleration and focussing)individual cavity RF feed digital LLRF regulation with setpoints

onal

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p o – individual cavity RF feed, digital LLRF regulation with setpoints

and tabulated procedures

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• In the injector low fault rates can be achieved by redundancy

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2 Sources - ∞ Fault Tolerant SC sectionot

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Dream LinacDream Linac

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• Double the injector

and

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o • Double the injector– Perfect switching– Repair can be

immediate

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n immediate• Assume infinite FT

in linac section• Reliability goal is

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System MTBF 796.91 hours

• Reliability goal is reached!

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Number of failures 2.75

Steady State Availability 99.5 %

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2 Sources – Redundant RF Systemsot

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or • Keep 2 sources• Assume that we can

deal at any moment with

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ro any 2 RF Units failing at any position in the SC sections

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n system is in operation– ideal detection and

switching

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System MTBF 757.84 hours

• Still within goals

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Number of failures 2.89

Steady State Availability 99.5 %

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Realistic RF Unit correction provisionsot

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or • When assuming parallelism and lumped components we should be consistent in defining repair provisions

• For example the components in the RF system that are

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o that are inside the protected-access tunnel– Even if the in-tunnel component can be considered in parallel

(we may tolerate failures to some degree), all repairs are

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n executed ONLY when the system is stopped– This greatly changes system MTBF

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Final Scheme – Split RF Systemsot

on A

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or • Keep 2 sources• Split RF Units

– Out of tunnel

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• Immediate repair• Any 2 can fail/section

– In tunnel

and

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o • 1 redundant/section• Repair @ system

failure

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System MTBF 550 hours

Number of failures 3.8

Steady State Availability 97.9 %

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System MTBF 720 hours

• Increasing only MTBFx2 of support systems

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System MTBF 720 hours

Number of failures 2.80

Steady State Availability 99.1 %

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System MTBF “evolution”ot

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# Inj. Fault Tolerance degree RF unit repair System MTBF

1 None, all in series At system stop 31

of H

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2 Infinite Immediate 797

2 94/96 in spoke, 90/92 in ell are needed Immediate 758

and

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o p ,

2 94/96 in spoke, 90/92 in ell are needed, more realistic correction provisions, by splitting the RF system

• Immediate for out of tunnel

• at system stop for

558

on th

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n splitting the RF system • at system stop for in tunnel

2 94/96 in spoke, 90/92 in ell are needed, split RF

• Immediate for out of tunnel

720

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SUPPORT SYSTEM MTBF * 2 • at system stop for in tunnel

2 94/96 in spoke, 90/92 in ell are needed, split RF

• Immediate for out of tunnel

760

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split RFIN-TUNNEL MTBF * 10

of tunnel• at system stop for

in tunnel

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Lesson learnedot

on A

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or • Type of connection & corrective maintenance provisions change dramatically the resulting system reliability, independently of the component reliability characteristics

of H

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ro independently of the component reliability characteristics

• This analysis allows to identify choices of components f

and

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o for which we need to guarantee high MTBF, due to their criticality or impossibility of performing maintenance– in-tunnel components/more robust support systems

on th

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p pp y

• Analysis here is still crude, while similar MTBF values t d i lit t th MTTR i t d i l

onal

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p o are reported in literature, the MTTR are inserted mainly

for demonstration purposes– several issues ignored: decay times before repair, logistic

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issues, long times if cooldown/warmup is needed...

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Example: acting on in-tunnel componentsot

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Here MTBF*10 in the in tunnel

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• In terms of fault rates in mission (2.9 total)

on th

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n – Injector contributes to 3%– Support systems amounts to 75%!– Linac is down to 5%

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– BDS is 17%

• Clearly longer MTBF in the conventional support t i d i bl

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systems is desirable...

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Example: acting on support systemsot

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Here MTBF*2 in the support systems

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pp y

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• In terms of fault rates in mission (2.8 total)

on th

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n – Injector contributes to 3%– Support systems amounts to 35%– Linac is 45%

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– BDS is 16%

• More balanced share of fault areas

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• MTBF increase only in conventional support facilities

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Fault toleranceot

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or • Still, analysis assumes a high degree of fault tolerance, where the failure of an RF unit is automatically recovered without inducing beam trips on target in timescales ~ 1 s

of H

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ro without inducing beam trips on target in timescales 1 s– challenging technical issue in LLRF and beam control systems

and

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• Two tasks of the EUROTRANS accelerator program (Tasks 1.3.4 and 1.3.5) are dedicated to reliability analysis and LLRF issues for providing fault tolerance in

on th

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n analysis and LLRF issues for providing fault tolerance in the high power linac

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Conclusionsot

on A

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or • Even in the absence of a validated reliability database for accelerator components the standard reliability analysis procedures indicate where design effort should

of H

igh

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ro analysis procedures indicate where design effort should be concentrated:– providing large degree of fault tolerance whenever possible

M i f lt d t ti i l ti d ti d

and

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o • Meaning: fault detection, isolation and correction procedures– providing additional design effort aimed at longer MTBF only in

critical components

on th

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• Study here is an illustration of how, with minimal “tweaking” of the component MTBF a simple model for

onal

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an accelerator system can be altered (adding redundancy and fault tolerance capabilities) in order to

t th ADS l

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meet the ADS goals