Reliability, Availability, Maintainability

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    RAM

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    WHAT IS SAFETY ENGINEERING?

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    Safety engineering is an applied science strongly

    related to systems engineering and the subset System

    Safety Engineering.

    Safety engineering assures that a life-critical system

    behaves as needed even when pieces fail.

    The term "safety engineering" refers to any act of

    accident prevention by a person qualified in the field.

    Failure to identify risks to safety, and the according

    inability to address or "control" these risks, can result in

    massive costs, both human and economic.

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    WHAT ARE FAULTS AND FAILURES?

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    FAILURE UNRELIABILITY

    IT BECOMES COMPLETELY UN

    OPERATABLE

    OPERATES BUT NO LONGER IN A

    POSITION TO PERFORM THE

    REQUIRED FUNCTION

    UNSAFE FOR ITS CONTINUOUS USE

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    A failure is "the inability of a system or component toperform its required functions within specified

    performance requirements", while a fault is "a defect in

    a device or component, for example: a short circuit or a

    broken wire".

    System-level failures are caused by lower-level faults,

    which are ultimately caused by basic component faults

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    CAUSES OF FAILURE

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    DEFICIENCIES IN DESIGN

    DIFICIENCIES IN MATERIAL

    DEFICIENCIES IN PROCESSING

    ERRORS IN ASSEMBLY

    IMPROPER SERVICE CONDITIONS

    INADEQUATE MAINTENANCE

    VARIATIONS IN OPERATING &

    MAINTENANCE CONDITIONS

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    PHASES OF FAILURE AND METHODS

    OF PREVENTION

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    1. INITIAL FAILURES PROBABILITY OF DEFECTIVE

    DESIGN, MANUFACTURE,ASSEMBLY

    -----OPERATING THE ITEM FORSEVERAL HOURS & REPLACING THE

    TYPE OF MATERIAL BECOMING

    DEFECTIVE ---- WARRANTY

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    RANDOM FAILURES: BY CHANCE

    - REDUNDANCY

    WEAR OUT FAILURES: AGEING

    PROPER MAINTENANCE

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    NATURE OF FAILURES

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    AN ITEM MAY FAIL IN MANY WAYS, AN

    UNDERSTANDING OF THIS FAILURES HELPIN TAKING APPROPRIATE CORRECTIVE

    MEASURES FOR ACHIEVING BETTER

    RELIABILITY

    CATASTROPHIC FAILURES: A NORMALLY

    OPERATING ITEM SUDDENLY BECOMES IN

    OPERATIVE

    Ex- BLOWING OF FUSE

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    DEGRADATION(CREEPING OF

    FAILURES)- BECAUSE OF SOMECHANGE OF PARAMETERS

    Ex- CHANGE OF VALUE OF RESISTOR

    INDEPENDENT FAILURES:

    Ex- FAN BELT OF A CAR

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    SECONDARY FAILURES: OCCUR AS A

    RESULT OF PRIMARY FAILURE

    EX:SPOKES OF A CYCLE BENT DUE TOTYRE BURST

    MISUSE FAILURES:FAILURES

    ATTRIBUTABLE TO APPLICATION OFSTRESSES BEYOND THE STATEDCAPABILITIES OF THE ITEM, OWING TOMIS HANDLING OR IMPROPER USE

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    DIFFERENT MODES OF SAFEOPERATION

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    A probabilistically safe system has no single point of failure, and

    enough redundant sensors, computers and effectors so that it is

    very unlikely to cause harm (usually "very unlikely" means, onaverage, less than one human life lost in a billion hours of

    operation).

    An inherently safe system is a clever mechanical arrangement

    that cannot be made to cause harm obviously the bestarrangement, but this is not always possible.

    A fail-safe system is one that cannot cause harm when it fails.

    A fault-tolerant system can continue to operate with faults,

    though its operation may be degraded in some fashion.

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    Analysis techniques

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    The two most common fault modeling techniques are

    FAILURE MODES AND EFFECTS ANALYSIS

    FAULT TREE ANALYSIS

    These techniques are just ways of finding problems and of making

    plans to cope with failures

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    FAILURE MODES AND EFFECTS ANALYSIS

    In the technique known as "failure mode and effects analysis"

    (FMEA), an engineer starts with a block diagram of a system.

    The safety engineer then considers what happens if each block of

    the diagram fails.

    The engineer then draws up a table in which failures are pairedwith their effects and an evaluation of the effects.

    The design of the system is then corrected, and the table adjusted

    until the system is not known to have unacceptable problems.

    It is very helpful to have several engineers review the failure

    modes and effects analysis.

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    FAULT TREE ANALYSIS

    In the technique known as "fault tree analysis", an undesired

    effect is taken as the root ('top event') of a tree of logic.

    There should be onlyone Top Event and all concerns must tree

    down from it.

    Then, each situation that could cause that effect is added to thetree as a series of logic expressions.

    When fault trees are labeled with actual numbers about failure

    probabilities, which are often in practice unavailable because of

    the expense of testing, computer programs can calculate failureprobabilities from fault trees.

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    Usually a failure in safety-certified systems is acceptable if, on

    average, less than one life per 109 hours of continuous operation

    is lost to failure.

    FAILURE RATE

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    FAILURE RATE

    The equipment reliability can be expressed with-

    Failure Rate =Number of faults per unit time

    = = 1/ M

    The MTBF is given by M and is expressed in hours and

    corresponding units of are faults per hour. The

    component is extremely small and units may be

    altered to give convenient numbers. Thus failure rates

    may be quoted as a percentage per 100hrs, per 106

    or per 10 9 hour.

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    PROBABILITY

    Probability = P = S/ n; Where , S =No. of results

    and n = Possible results in all( failure and success).

    Ps = Probability of success = a / a+b where a is the

    probability of success and b is the probability of failure.

    Pf = Probability of failure =b / a+b

    Ps+Pf = a / a+b + b / a+b = 1 unit.

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    Given the probability P of some event , the

    probability of its complement, that is event will not

    take place is (1 P).

    If P = P1and P2 are probabilities of success in the two

    events, the probability that both occur is, P = P1x P2 ,the probability that two trials will both succeed is P2

    .

    The product rule is directly applicable to series system ,

    in which input of each unit is connected to the output of

    previous

    COMPOUND EVENTS(PROBABILITY)

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    COMPOUND EVENTS(PROBABILITY)

    In order for the complete system to operate correctly, each

    unit must operate correctly. Thus probability of success or

    in other word the reliability of the units are R1, R2, R3,

    -----Rn.

    The probability that they will all operate correctly, i.e, the

    system will function,is given by R = R1xR2x R3------x

    Rn.

    Forn similar units of reliability Rr, this is R = ( Rr)n

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    The product rule gives the joint probability that a number

    of events will all be successful. For circumstances , we

    require the probability that one or more events will besuccessful.

    For example a box contaminating Eight - 0.1F , seven-

    0.5F and Five- 1 F capacitors. Total No. of capacitors =20. If we pick capacitor randomly the probability of three

    values -

    P1 = 8/20 = 0.4(0.1 F), P2 = 7/20 = 0.35( 0.5 F), P3 =5/20 = 0.25 (1.0 F)

    FAILURE ANALYSIS OF SERIES SYSTEM

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    FAILURE ANALYSIS OF SERIES SYSTEM

    If separate probability of a failure developing in the

    components are P1, p2, P3, P4, P5 the joint probabilityof a fault occurring in one or more of the five components

    is

    P = P1 + P2 + P3 + P4 + P5; P1 To P5 Probabilitiesdepend upon duration of the test or prescribed operating

    period.

    For calculating reliability the failure rate is considered. Ifthe failure rates for the components are 1, 2, 3 etc.

    The expected number of failures are: - n1 = 1xT for

    component-1

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    n2 = 2xT for component 2; Where T is the duration

    of the test or operating period. Since we are considering

    series system, any one of this faults will cause a system

    failure. Thus: -

    Ns = (1 + 2 + 3 + 4 + 5) T , is the total number of

    faults expected during the interval T. Assuming that

    1, 2, 3---- 5 are constant. Reliability R is given byR = 1 - Ns

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    EXAMPLE OF SERIES SYSTEM

    Numerical data are used to estimate reliability.The

    system failure rate is calculated by adding together.

    0.0125capacitor

    0.00590Resistor

    0.0525Silicon Transist.

    0.0245Silicon diode

    Failure rate in percent

    per 1000Hrs

    NumberComponent

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    The total failure rate for each class of component

    Silicon diode - 45 X 0.02 = 0.9

    Silicon Transistor - 25X 0.05 = 1.25

    Resistor - 90X 0.005 = 0.45

    Capacitor- 25 X 0.01 = 0.25

    Total failure rate in percent = 2.85 percent per

    1000Hrs

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    So failure rate = number of failure = 2.85/100 =

    0.0285 failure in 1000Hrs.

    The failure rate in 1 hour = .0285/1000 = =0.0000285

    M = 1/ = 1/0.0000285 = 35100Hrs

    A ship having the components of above failure ratemust operate 750 Hrs continuously until the ship

    return.

    So expected No. of faults in 750Hrs = n = (750x0.0285)/1000

    = 0.0214 ; Thus reliability of each voice R = 1 n =

    0.9786

    REIABILITY OF PARALLEL SYSTEM

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    REIABILITY OF PARALLEL SYSTEM

    Suppose three systems are connected in parallel. Any oneof three systems, if works, the system will not fail . The

    system will fail if all the three systems fail.Thus the

    probability of failure are

    Ps = P1 X P2 X P3; Where Probability of failures are

    P1, P2& P3 for a specified interval of time. The system

    reliability , assuming P is Small, is then

    R = 1 - Ps = 1 P1 X P2 X P3

    EXAMPLE OF PARALLEL SYSTM

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    EXAMPLE OF PARALLEL SYSTM

    A generating system having mean time between failures

    of 5000Hrs. What will be the reliability of the system for

    a 500 Hrs operating period if there are five identical units

    and if three of them supply the required load?

    The condition imply that if three or five or five machines

    fail, the system will fail. The combined probability of

    any one of three situations occurring is given by some of

    three separate probability.

    L P b h b bili f f il f hi d i

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    Let P be the probability of failure of one machine duringthe 500Hrs interval.

    The total probability of failure = Ps = 10 P3(1- P)2 +5 P4 (1-

    P) + P5

    Where, 2x5 P3(1- P)2 - Three faulty machines and oneworking.

    5x1 P4

    (1-P) - Four faulty machines and one working.Thus total probability of failure is -

    Ps = 10 P3 - 15 P4 - 6P5 --------1

    The mean time between failures for a single machine is5000Hrs. Thus the probable number nf of failures in a500Hrs period is

    nf = 500/5000 = 0.1

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    RELIABILITY

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    EVERY FAILURE MUST BE REGARDED AS

    SIGNIFICANT UNTIL ACTION HAS BEEN

    TAKEN TO PREVENT ITS REOCCURENCE

    RELIABILITYRELIABILITY IS THE ABILITY OF AN ITEM

    TO PERFORM A REQUIRED FUNCTION

    UNDER STATED OPERATING &ENVIRONMENTAL CONDITIONS FOR A

    GIVEN PERIOD OF TIME

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    The probability of survival, R(t), plus the probability of failure, F(t),

    is always unity.

    Expressed as a formula: F(t) + R(t) = 1 or, F(t)=1 - R(t).

    The required function includes both a definition of satisfactory and

    unsatisfactory operation (failure).The stated conditions are the total physical environment, including

    mechanical, thermal, and electrical conditions.

    The stated period of time is the time during which satisfactory

    operation is desired.

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    CONCEPTS : IT IS EXPRESSED IN TERMS OF

    PROBABILITY Ex. 0.95 FOR 60 HRS

    REQUIRED FUNCTION:EX. LIGHTING OF 10

    CANDLESTIME: Ex. MISSILE

    OPERATING & ENVIRONMENTAL

    CONDITION: Ex. TYRE & ROAD CONDITIONS

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    1. FAILURE RATE1. FAILURE RATE

    EXPRESSED IN TERMS OF FAILURES PER

    HOUR, 100 HR, 1000 HR OR % FAILURES PER

    1000 HRS.

    Ex: FAILURE RATE OF RELAYS HAS BEEN

    CALCULATED AS 0.4623 PER 1000 Hrs, FROM

    THE PAST EXPERIENCE. THIS MEANS THAT

    OUT OF 10,000 RELAYS, 4623 ARE EXPECTED

    TO FAIL DURING 1000 Hrs OPERATION

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    2.PROBABILITY OF SURVIVAL2.PROBABILITY OF SURVIVAL

    THE PROBABILITY OF SURVIVAL ISEXPRESSED AS A DECIMAL FRACTION ORPERCENTAGE WHICH INDICATES THE

    PROBABLE OR EXPECTED NUMBER OFITEMS THATWILL OPERATE FOR AREQUIRED PERIOD OF TIME.

    EX. 90%- 90 OUT OF 100 MACHINESEXCEEDED THE PROBABILITY OFSURVIVAL

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    3.MEAN TIME BETWEEN FAILURES (MTBF)3.MEAN TIME BETWEEN FAILURES (MTBF)

    APPLICABLE FOR REPAIRABLE ITEMS.

    EXPRESSED IN HOURS

    The MTBF of a system (givenby M), may be measured by

    testing it for a total period (given by T) during which N

    faults occurred. Each fault is repaired and equipment put backon test,the repair time being excluded from the total test time

    T. The observed MTBF is then given by M = T/N

    IF AN EQUIPMENT FAILS 6 TIMES OVER APERIOD OF 3000 Hrs, THE MTBF WOULD BE

    3000/6=500 HRS.

    THIS IS ALWAYS TAKENAS AN AVERAGE

    TIME.

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    4.MEAN TIME TO FAILURE(MTTF)4.MEAN TIME TO FAILURE(MTTF)

    APPLICABLE TO NON REPAIRABLE ITEMS.

    EXPRESSED AS AN AVERAGE TIME

    IT IS THE TIME AN ITEM IS EXPECTED TO

    FUNCTION BEFORE FAILING

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    The observed MTTF is given by -

    i=n

    M =( ti)/ni=1

    For Example: -If six units were tested until failure , and

    the times to failure were 320 , 250, 380, 290, 310 and 400

    hrs. The total test time would be 1950hrs and the MTTF

    would be M = 1950/6=325Hrs

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    MAINTAINABILITY

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    THE ACTIVITY BY WHICH THE USEFULLIFE OF AN ITEM CAN BE EXTENDED BY

    CARRYING OUT CORRECTIVE ACTIONS AT

    SPECIFIED INTERVALS

    GOOD MAINTENANCE AIMS TO KEEP

    PRODUCTION MACHINERY & EQUIPMENT

    IN EFFICIENTWORKING CONDITION ALLTHE TIME

    MAINTAINABILITY

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    DEFNITION: MAINTENANCE IS A COMBINATIONOF ANY ACTIONS CARRIED OUT TO RETAIN ANITEM IN OR RESTORE IT TO AN ACCEPTABLESTANDARDS.-BRITISH SPEC. 3811(1974)

    MAINTAINABILITY IS A CHARECTERISTICS OFEQUIPMENT DESIGN 7 INSTALLATION WHICH ISEXPRESSED IN TERMS EASE & ECONOMY OF

    MAINTENANCE AVAILABILITY OF THEEQUIPMENT, SAFETY & ACCURACY IN THEPERFORMANCE OF MAINTENANCE ACTIONS

    MAINTAINABILITY

    OBJECT OF MAINTAINABILITY

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    OBJECT OF MAINTAINABILITY

    TO DESIGN & DEVELOP SYSTEMS &

    EQUIPMENTS WHICH CAN BE

    MAINTAINED AT THE LEAST TIME &

    AT THE LEAST COST AND WITHMINIMUM EXPENDITURE OF

    SUPPORTING RESOURCES WITHOUT

    ADVERSELY AFFECTING THE ITEMPERFORMANCE OR SAFETY.

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    OBJECTIVES OF MAINTENANCE

    TO EXTEND THE USEFUL LIFE

    TO ASSURE OPTIMUM AVAILABILITY OF

    THE INSTALLED EQUIPMENT

    TO ENSURE OPERATIONAL READINESS OF

    ALL EQUIPMENTS REQUIRED FOR

    EMERGENCY.

    TO ENSURE SAFETY FOR PERSONNEL

    USING SUCH FACILITY

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    FORMS OF MAINTENANCE

    PREVENTIVE MAINTENANCE(PM)

    CORRECTIVE MAINTENANCE(CM)

    PREVENTIVE MAINTENANCE(PM)

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    PREVENTIVE MAINTENANCE(PM)

    TUNING OR ADJUSTMENTS

    LUBRICATION

    INSPECTIONCLEANING ETC

    MAJOR PART OF PM IS INVOLVES

    INSPECTION BY LOOK, FEEL & LISTEN

    MAJOR ADVANTAGES OF PM

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    MAJOR ADVANTAGES OF PM

    LESS PRODUCTION DOWN TIME

    LESS OVER TIME PAY FOR MAINTENANCE FOR

    ORDINARY ADJUSTMENTS

    FEWER LARGE SCALE REPAIRS

    LESS REDUNDANCY REQUIRED

    BETTER SPARE PART CONTROL- MIN.

    INVENTORYGREATER SAFETY FOR MAINTENANCE STAFF

    & WORKING STAFF

    LOWER UNIT COST OF MANUFACTURE

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    FACTORS EFFCTING

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    FACTORS EFFCTING

    MAINTAINABILITY

    DESIGN-RELIABILITY, COMPLEXICITY,

    INTERCHANGEABILITY,

    REPLACEABILITY, COMPATIBILITY,VISIBILITY & CONFIGURATION.

    INSTALLATION-GENERALLY RELATE TO

    HUMAN BEING-EXPERIENCE,TRAINING,SKILL &

    SUPERVISION

    Maintainability

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    Maintainability

    In telecommunication and several other engineering fields, the

    term maintainability has the following meanings:

    1.A characteristic of design and installation, expressed as the

    probability that an item will be retained in or restored to a

    specified condition within a given period of time, when the

    maintenance is performed in accordance with prescribed

    procedures and resources.

    2.The ease with which maintenance of a functional unit can be

    performed in accordance with prescribed requirements.

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    Maintainability is defined as the probability of performing a

    successful repair action within a given time.

    In other words, maintainability measures the ease and speed withwhich a system can be restored to operational status after a

    failure occurs.

    For example, if it is said that a particular component has a 90%maintainability in one hour, this means that there is a 90%

    probability that the component will be repaired within an hour.

    In maintainability, the random variable is time-to-repair, in the

    same manner as time-to-failure is the random variable in reliability.

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    AVAILABILTY

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    AVAILABILTY

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    Availability = A = U/ U+D ; Where U = Up time ,

    during which the machine is in working order; D = Downtime , During which the machine is faulty and being

    repaired.

    A = M/M+R = 1/ / (1/ +1/ ) = / + ; Where = failure rate = 1/M or M = 1/ and R = mean repair time

    . Repair rate = = 1/R or R = 1/

    Unavailability = B = D/ U+D

    B = R/M+R = / +.

    A+B = (U/U+D + D/ U+D) = 1

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    Availability is defined as a percentage measure of the degree to

    which machinery and equipment is in an operable and committable

    state at the point in time when it is needed.

    This definition includes operable and committable factors that are

    contributed to the equipment itself, the process being performed, and

    the surrounding facilities and operations.

    This statement incorporates all aspects of malfunctions and delays

    relating to equipment, process, and facility issues.

    If one considers both reliability (probability that the item will not fail)

    and maintainability (the probability that the item is successfully restored

    after failure), then an additional metric is needed for the probability that

    the component/system is operational at a given time, t(i.e. has not failed

    or it has been restored after failure). This metric is availability.

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    Availability Classifications

    The definition of availability is somewhat flexible and is largely based

    on what types of downtimes one chooses to consider in the analysis. As aresult, there are a number of different classifications of availability, such

    as:

    Instantaneous (or Point) Availability.

    Average Up-Time Availability (or Mean Availability).

    Steady State Availability.

    Inherent Availability.

    Achieved Availability.

    Operational Availability.

    Instantaneous or Point Availability, A(t)

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    s eous o o v b y, (t)

    Instantaneous (or point) availability is the probability that a system (or

    component) will be operational (up and running) at any random time, t.

    Average Uptime Availability (or Mean Availability)

    The mean availability is the proportion of time during a mission or time

    period that the system is available for use. It represents the mean value

    of the instantaneous availability function over the period (0, T)Steady State Availability

    The steady state availability of the system is the limit of the

    instantaneous availability function as time approaches infinity

    The instantaneous availability function will start approaching the steady

    state availability value after a time period of approximately four times

    the average time-to-failure.

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    AVAILABILITY (INHERENT)

    THE PROBABILITY THAT A SYSTEM,WHEN USED UNDER STATED

    CONDITIONS,WITHOUT CONSIDERATION

    FOR ANY PREVENTIVE ACTION IN ANIDEAL SUPPORT FACILITIES SHALL

    OPERATE SATISFACTORILY AT ANY

    GIVEN POINT OF TIMEAi = MTBF/MTBF+MTTR

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    AVAILABILITY (OPERATIONAL)

    Ao = MEAN TIME BETWEEN FAILURES/MTBF+MEAN TIME WAITING FOR

    SPARES+ ADMINISTRATIVE TIME+ MEAN

    TIME FOR REPAIRS

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    THANK YOU