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    October 8, 2010 SKF Group Slide 0

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    Establishing a successfulCondition Based Maintenance programme

    Presented to IMarEST Conference 2010

    Prepared by Gerald Rolfe

    Executive Business Manager Marine

    SKF Service Division

    2010-09-28

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    October 8, 2010 SKF Group Slide 2

    Brief introduction to SKF

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    41 172 employees 124 factories 56 227 MSEK turnoverin 130 countries 450 channels >10 % operating margin7 000 distributors in 29 countriesEnvironment: Global ISO 14001 certification, OHSAS 18001 certifcation

    SKF 2009

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    October 8, 2010 SKF Group Slide 4

    SKF Group Vision

    To equip the worldwith SKF knowledge

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    October 8, 2010 SKF Group Slide 5

    What is SKF knowledge?

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    October 8, 2010 SKF Group Slide 6

    Idea or concept

    Design & manufacture

    Install & commission

    Operate & monitor

    Maintain & repair

    Restore & upgrade

    OEMPerspective

    End UserPerspective

    Overall customer & business perspective

    Transferableknowledge

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    October 8, 2010 SKF Group Slide 7

    SKF in the Marine Segment

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    October 8, 2010 SKF Group Slide 8

    SKF and the ship life cycle

    Maintain andimprove

    Operate and monitor

    Build and install

    Concept and design

    Product delivery

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    October 8, 2010 SKF Group Slide 9October 8, 2010 SKF Group Slide 9

    SKF Marine Key capabilities & Values

    Concept and design

    Product delivery

    Build and install

    Operate andmonitor

    Maintain & improve

    Design and engineering Calculation, simulation and verificationTesting & validation

    Quality SKF products

    Efficient global distribution network Wide portfolio (five platforms)

    Complete propulsion line installation Supervision of alignment and installation

    Mounting and alignment services andsystems

    Condition based maintenance (CBM) Condition monitoring systems (CMS)

    Analysis and remote monitoring (RDC)

    Maintenance tools and recommendations Root Cause Failure Analysis Validation and optimisation of design

    Enable new reliable designs& minimise risk of machineryfailures and warranty costs

    One-stop-shop for proven

    world class products,available worldwide

    Ensure optimised operationalperformance through best

    practice installation services

    Safer and more profitableoperations with increasedavailability and streamlined

    classification agency surveys

    Range of maintenanceengineering and consultingservices to boost asset

    uptime

    End-User

    OEM

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    October 8, 2010 SKF Group Slide 10October 8, 2010 SKF Group Slide 10

    SKF Marine Key capabilities & Values

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    October 8, 2010 SKF Group Slide 11

    Bringing value to the Marine End User

    Availability & Reliability Reduced need for Class inspection

    Improved machinery design

    Reliability in operation

    Health, Safety & Environment Reduced risk of severe failures

    Reduced time in hazardous areas

    Efficient ship operation (SOX/NOX/CO2)

    Maintenance efficiency Reduced time required for maintenance

    Reduced consumption of spares

    A safer and more profitable End User business

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    October 8, 2010 SKF Group Slide 12

    Profit

    Cost of Plant

    (CAPEX)

    Time

    Operating

    Cost

    (OPEX)

    Reve

    nue

    (Outp

    ut)

    Payback point

    The basic business model

    2010-10-08 SKF Slide 12 [Code]SKF [Organisation]

    Cost &

    Revenue

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    October 8, 2010 SKF Group Slide 13

    Payback point

    Downtime

    Payback point

    Additional cost to repairmachinery

    Loss of availability & revenue

    Profit ?

    Why should we use condition monitoring?

    Cost of Plant

    (CAPEX)

    Time

    Cost &

    Revenue

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    October 8, 2010 SKF Group Slide 14

    Condition based maintenance

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    October 8, 2010 SKF Group Slide 15

    Condition Based Maintenance process

    System set-up

    Data collection

    Maintenancestrategy

    Maintenance complexity

    Bu

    sinessimpact

    1

    23

    4

    Upgrade andimprovement

    Remote analysis

    Correction

    AEO

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    October 8, 2010 SKF Group Slide 16

    Reliabilit y Issues

    (Design)

    Pre-Defined Prioriti es

    Maintenance Strategy Project Business Goals

    Preventive Maintenance ( time based )

    Proactive Reliability Maintenance

    ( includes Predictive Maint. )

    Operator Driven Reliability (

    observation )

    Run to Failure ( reactive maintenance )

    Root Cause Failure Analys is

    PM =

    PRM =

    ODR =

    RTF =

    RCFA =

    Maintenance

    StrategyPlant Asset Management and

    Maintenance Program (Living

    Program)

    PM PRM ODR RTF

    RCFA

    PRM/ODR Collection and Analysis

    Information Integration and Decision

    Work Order Generation CorrectiveMaintenance

    Operators

    Initiators

    Planning

    Rolling Schedule

    Standard Job Plans

    and Procedures

    Spare Parts

    Al ignment

    Work Execution

    Post Maintenance Testing

    Update Program

    Work

    Identification

    Work

    Control

    Work

    Execution

    Asset Efficiency Optimisation (AEO) process

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    October 8, 2010 SKF Group Slide 17

    Client needs analysis - output

    This provides an objective basis for the future improvement plan

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    October 8, 2010 SKF Group Slide 18

    Auxiliary machines:

    Motors, Pumps, FansLO & HFO Purif iers, etcPeriodic data

    Inaccessible Machines:Hazardous pumps & fans

    Semi-Online

    Condition monitoring strategy

    Critical

    Medium

    Sudden onset

    failure

    Gradual

    degradation

    Finan

    cialRisk

    Time to machine failure

    Examples:

    Required Scan Rate FastSlowLow

    High

    Costp

    erPoint

    Critical Machines:

    TurbochargersIG FansOnline

    Turbo machines:

    Compressors

    GeneratorsCritical Online

    A I t t CBM l ti

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    October 8, 2010 SKF Group Slide 19

    Citrix/Application Server

    Citrix Server@ptitude Analyst ApplicationSKF Transaction Server

    Database Server

    Oracle 10g@ptitude Analyst Database

    CBM Service Provider

    Citrix ClientVPNTCT application

    Internet

    Direct connection

    available only toauthorised SKF

    users

    Workstation onboard

    Citrix Client

    VPNTCT application

    -

    Citrix ClientVPNTCT application

    SKFNetwork

    Citrix/Application Server

    Citrix Server@ptitude Analyst ApplicationSKF Transaction Server

    Database Server

    Oracle 10g@ptitude Analyst Database

    SKF Data Hosting Centre

    Citrix ClientVPNTCT application

    Internet

    Direct connection

    available only toauthorised SKF

    users

    Workstation onboard

    Visualisation ClientTCT application

    RemoteShip systems

    Ship Operator

    Shore based personnel

    -

    Citrix ClientVPNTCT application

    SKFNetwork

    An Internet CBM solution

    Oth C diti M it i t h i

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    October 8, 2010 SKF Group Slide 20

    Other Condition Monitoring techniques

    Online monitoring:

    Oil Particle count - e.g. Gearbox wear & contamination

    Process data analysis - to identify abnormal operating conditions

    Periodic monitoring:

    Oil & Grease - for Oil condition (e.g.Transformer), Component wear

    Thermographic - for Temperature checks & Electrical system faults

    Ultrasonic - for Air leaks, Steam leaks, NDT, etc

    Online oil particle sensor

    A i hi diti

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    October 8, 2010 SKF Group Slide 21

    Assessing machine condition

    To assess machine condition, the CM engineer requires: Knowledge of machinery & its operation

    Knowledge of how to apply CM technology

    Knowledge of CM analysis & decision-making

    Usual Ships engineer situation: Itinerant workforce

    CM is outside normal area of expertise

    Lack of own central CM technical support

    Difficulty to sustain quality & effectiveness

    The Marine CBM solution:

    Efficient CBM process using Remote Monitoring

    Powerful CM technology - simple to use on board

    ISO Certified & Marine experienced CM engineers

    Application Engineering - support with RCFA & Improvement

    Effective Contract Management Compliance, Performance & ROI

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    October 8, 2010 SKF Group Slide 22

    Key issues to be considered

    Critical Success Factors

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    October 8, 2010 SKF Group Slide 23October 8, 2010 SKF Group Slide 23

    Critical Success Factors

    1) Strategy: Select the right machines & systems (criticality review) Right data, right time, right quality

    2) Resources: Data collection staff (disciplines, top management support) Analysis staff (onboard or remote)

    3) Technology: Capable CM hardware & software technology Marine Industry acceptability & suitability

    4) Activity planning: Planning & scheduling work Schedule compliance (collection, analysis, reporting)

    Critical Success Factors

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    October 8, 2010 SKF Group Slide 24October 8, 2010 SKF Group Slide 24

    Critical Success Factors

    5) Data management: Effective data transfer - reliable IT systems Centralised database with routine maintenance

    6) Analysis: Quality of analysis competent staff, quality assurance process Speed & efficiency CM tools & techniques

    7) Reporting: Credibility good quality advice Standardisation report format, fault codes, etc Compliance reporting on time

    8) Feedback & integration: Feedback to analyst from C/E & Sperintendent Integration with CMMS where necessary

    Critical Success Factors

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    October 8, 2010 SKF Group Slide 25October 8, 2010 SKF Group Slide 25

    Critical Success Factors

    9) Reliability improvement: Availability of reliability data (event history) Focus on repetitive faults & issues Root cause analysis & elimination

    10) Value for money: Contract compliance reporting - timeliness, accuracy, etc

    Performance reporting - continuous improvement) Cost-Benefit analysis & reporting - cost avoidance & ROI

    CBM Marine customer gap analysis

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    October 8, 2010 SKF Group Slide 26

    CBM - Marine customer gap analysis

    CBM Marine customer gap analysis

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    October 8, 2010 SKF Group Slide 27

    CBM - Marine customer gap analysis

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    October 8, 2010 SKF Group Slide 28

    Demonstrating value

    Effective CBM contract management

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    October 8, 2010 SKF Group Slide 29

    Effective CBM contract management

    Fleet Average Overdues Since start of SKF Contract

    0.00%

    5.00%

    10.00%

    15.00%

    20.00%

    25.00%

    30.00%

    01/01/07

    01/02/07

    01/03/07

    01/04/07

    01-05-07

    01-06-07

    01-08-07

    01-09-07

    01-10-07

    01-11-07

    01-12-07

    01-01-08

    01-02-08

    01-03-08

    01-04-08

    01-05-08

    01-06-08

    01-07-08

    01-08-08

    01-09-08

    01-10-08

    01-11-08

    01-12-08

    01-01-09

    01-02-09

    01-03-09

    01-04-09

    01-07-09

    Reduction in Overdue data To improve

    Assurance

    Effective CM system support tracking To ensure data integrity

    Critical Machine

    Datasheets-

    To improve

    Knowledge of

    the Assets &

    accuracy of

    Analysis

    Support Case Tr ends

    0

    5

    10

    15

    20

    25

    30

    35

    40

    45

    50

    1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77 81 85 89 93 97 101 105 109 113 117 121 125 129 133 137 141 145 149 153 157 161 165 169 173 177 181

    Week Num ber

    NumberofCases

    Open Cases New Cases Closed Cases

    Satisfactory machines = Improved Fleet Assuranc

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    October 8, 2010 SKF Group Slide 30

    Satisfactory machines Improved Fleet Assuranc

    Cost-Benefit reporting

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    October 8, 2010 SKF Group Slide 31

    Cost Benefit reporting

    What information should be included in Cost-Benefit calculations?Time saved = planned versus unplanned maintenance?

    Less component damage = reduced / no catastrophic failures?

    Reduction in maintenance spend/budget?

    Avoidance of Equipment downtime or Ship off-hire event? HS&E risk (penalty) avoided?

    Historical methods for cost-benefit reporting of CBM programmes:

    Estimate the cost saving for each CM recommendation (fault/event) Normally too time consuming to collect all necessary data

    Range of opinion/interpretation of actual savings

    Estimate the overall cost saving due to CBM contract Needs meaningful measures for Maint. & Equipment performance e.g. MTBF

    Relies on accurate baselines - to measure any improvement

    Requires agreement between Customer & Vendor on who delivered any savings

    Benefit reporting Marine Fleet CBM

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    October 8, 2010 SKF Group Slide 32

    Benefit reporting Marine Fleet CBM

    Total Benefits per Class

    Total= $855,260

    $0

    $50,000

    $100,000

    $150,000

    $200,000

    $250,000

    $300,000

    $350,000

    Class

    Per Vessel

    Class $289,890 $8,300 $41,670 $120,410 $68,320 $102,890 $192,000 $19,300 $12,480Per Vessel $24,158 $2,767 $10,418 $30,103 $17,080 $12,861 $8,727 $19,300 $12,480

    Bird Border C_LPG P's Trader TreeE's and

    Virtues

    Loch

    RannochGem

    Total Benefits per Vessel

    Total= $855,260

    $0

    $5,000

    $10,000

    $15,000

    $20,000

    $25,000

    $30,000

    $35,000

    Bird Border C_LPG P's Trader TreeE's and Loch

    Gem

    Cost BenefitVessel Class

    Total Average per vessel Average permachine per vessel

    P's $120,410 $30,103 $284

    Bird $289,890 $24,158 $244

    Tree $102,890 $12,861 $153Loch Rannoch $19,300 $19,300 $145

    Gem $12,480 $12,480 $139

    Trader $68,320 $17,080 $132

    C_LPG $41,670 $10,418 $104

    E's and Virtues $192,000 $8,727 $95

    Border $8,300 $2,767 $54

    Total $855,260 $14,496 $148

    SKF cost-benefit model

    (CM event) adapted to

    large scale report ing

    Class 1

    Class 2

    Class 3Class 4

    Class 5

    Class 6

    Class 7

    Class 8

    Class 9

    C1 C2 C3 C4 C5 C6 C7 C8 C9

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    October 8, 2010 SKF Group Slide 33

    So how does vibration analysisactually work then?

    How does Vibration Analysis actually work?

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    October 8, 2010 SKF Group Slide 34

    y y

    Bearing Outer Ring defect

    A proven technique: Especially good for steady-state conditions

    Key issues: Data Quality: Variable machine speeds & loadsReliability: Operating environmentEase of use: Remote monitoring

    Vibration facts of life

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    October 8, 2010 SKF Group Slide 35

    Static vs. Dynamic Data

    Amplitude

    Time

    Each machine component

    generates its own

    characteristic Vibration

    Signature

    Bearing

    coupling

    Gear

    meshGenerator

    Rotor Hub

    Amplitude

    Frequency & Range

    FFT Processing

    Dynamic data(Spectra)

    4 kb of data

    2 bytes of

    data

    Static Value

    (RMS)

    What can we see with Vibration Analysis?

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    October 8, 2010 SKF Group Slide 36

    y

    What Defects can be identified?

    Misalignment & Unbalance

    Looseness & clearances

    Gear defects - lube, wear, damage

    Bearing defects - lube, wear, damage

    Process faults Temp, Pressure, etc

    And many more

    What Parameters can we monitor?

    Component defect frequencies

    Trends (Vel, Accel, Freq. Band, gE)

    Normal level

    Increasing

    Unacceptable

    Normal FFT spectra

    Defect FFT spectra

    Marine CM technology

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    October 8, 2010 SKF Group Slide 37

    Application software: Powerful data management & analysis features Flexible, intuitive: Easy to learn and use

    Robust, proven CM system for multiple users

    Wide interconnectivity, unlimited expansion Continuous investment and development

    Portable hardware: Suitable for ATEX and non-ATEX use

    Test signal generator (1st route point)

    >200-off Quick Connect Studs & Glue

    Effective calibration cycle (12-24 months)

    Fixed sensors for inaccessible & hazardousareas

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    October 8, 2010 SKF Group Slide 38

    areas

    Cargo pump room

    Engine room

    Pumproom

    Vacpumps

    Ballastpumpstbd

    Ballastpumpport

    Cargopumpport

    Cargopumpstbd

    Cargopumpcentre

    Mainjunction

    box

    Exhaustfan

    Exhaustfan

    Switch box

    Fixedsensors Multi-core cables

    SAFETY

    BARRIER

    S

    Online condition monitoring

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    October 8, 2010 SKF Group Slide 39

    Machine

    signalsConvert

    signal

    Processing of

    data & FFTsSignals, FFT data

    and Trends

    Analysis of

    Trends & FFT

    ACC

    Machine Multilog IMXSensors CM Database @ptitude Software

    Signal processing &data capture Data storage(1,5Mb/Machine/day) Data management& analysis

    Shaft speed (rpm)

    Vibration

    Steering angle

    Oil particles, Water, Temp Oil Pressure (gravity tanks)

    Remote database access for different users

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    October 8, 2010 SKF Group Slide 40

    SKF CM Engineer

    System conf iguration

    Database management

    Machine data & history

    Analysis & Reporting

    Contract management

    Ship operator

    Fleet/Class status

    Ship status

    Machine trend

    Machine history

    Web

    Server

    Database Server& Virtualisation

    Application Server(@ptitude)

    SKF Remote Monitoring CentreLive access (e.g. Citrix)

    Ship operator/manager

    Application-specific condition monitoring

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    October 8, 2010 SKF Group Slide 41

    Turbocharger

    SKF Turbocharger monitor

    Speedswitch

    Accelerometers with separate

    chargeamplifiers

    DigitalControlSystem

    MachineCondition

    Transmitters

    Onboard PC

    Vibration levels& Alarm relays

    T/C Efficiency & Performance:

    T/C compressor intake temperatureT/C compressor air flowTemperature before T/C turbineT/C turbine gas flowCharging air pressureBarometric pressureExhaust gas pressure before T/C turbine

    T/C Condition:

    Vibration levels

    Engine speedT/C speedSea state

    Status/condition

    Alarm

    4-20 mAmp

    O

    PC

    SKF remote monitoring

    Internet

    (Citrix/VPN)

    Satellite/GPRS,

    etc..

    Status reportsWork orders

    Alarmsetc.

    Condition dataNotes/commentsetc.

    PC with applicationinstalled to automaticallystore and transfer data to

    SKF

    Monitoring centrewith T/C reliability

    database, efficiencyformulas, reportingtools and formats

    etc.

    Example: Turbocharger monitoring

    BNC connection forPortable MicrologFFT

    Benefits of CBM - Gearbox problem

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    October 8, 2010 SKF Group Slide 42

    Acceleration trend shows an increaseSpectrum identif ies IMS/LSS gear mesh frequency

    with sidebands.

    Recommendation: Inspect & replace gears

    Root Causes: Lubrication, Alignment, Excess loads

    Benefits of CBM - Coupling problem

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    October 8, 2010 SKF Group Slide 43

    Increase in velocity at both ends of generator,with dominant frequency at 1x shaft rpm.

    Overall vibration and 1x shaft rpm trends show

    an almost identical prof ile.

    Recommendation: Inspect the coupling

    (damaged)

    Root causes: Excess misalignment, Shock

    loads

    Benefits of CBM Motor bearing problem

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    October 8, 2010 SKF Group Slide 44

    Increase in Enveloped Acceleration (gE)

    trend. Spectra shows bearing outer race

    frequency with harmonics.

    Recommendation: Change the bearing

    Root Cause: Electrical damage, poorinsulation

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    October 8, 2010 SKF Group Slide 45