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Page 1: Container Crane Presentationgoaiberica.com/wp-content/uploads/2016/11/container... · 2016. 11. 20. · 11 Objectives Crane application ”One of the most challenging machine condition

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Container Crane

Presentation

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❖ Impact on Direct maintenance costs ❖ Impact on Indirect maintenance costs ❖ Safety ❖ Time losses and delay in shipment ❖ Loss of Contribution ❖ Unplanned vs. planned breakdowns ❖ Penalties ❖ Port charges ❖ Return on investment

Customer BenefitsPort Operators / Port Authorities

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Equipment on Container Crane

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Main Hoist

Boom Hoist

Trolley Drive

Machine Room

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Main Hoist – up & down movement

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Trolley Drive – horizontal movement

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Boom Hoist - extension

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Motor

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Container Crane online condition monitoring systemTechnical application description

MSC Home Terminal Antwerpen Belgium

March 2009

Case Study

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MSC Home Terminal Antwerp, Belgium

MSC Home Terminal is a joint venture between Mediterranean Shipping Company (MSC) and Hesse-Noord Natie NV, a subsidiary of the PSA Group. The container terminal is a busy terminal and has a quay length of 2.9 km. The total capacity of the terminal is 4.1 million tons. The containers are moved to and from the vessels by 22 quay cranes.

Delwaide dock (north side of the Port of Antwerp)

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ObjectivesCrane application

”One of the most challenging machine condition monitoring applications you can imagine is probably the hoisting winch and trolley drive in a crane.” The weight of the container, the hoist direction and hoisting speed will have an influence in the running condition of the crane.

All of these variables need to be controlled during the machine condition measurements to get stable, meaningful and trendable readings.

Trend graph with unfiltered data

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ObjectivesCustomer

The MSC Home Terminal company wants to have full control over the availability of the Quay cranes to serve their customers to the highest standards and to avoid unplanned downtime and secondary damage. To reach this goal, all Kalmar cranes should be equipped with a machine condition monitoring system. The evaluated machine condition information from the system should be available for the Siemens Sicma Crane management system as status coded in green, yellow or red condition. In March 2008, as a trial, SPM installed the Intellinova system on Quay Crane No. 16 in the Hoisting winch of MSC Home Terminal, Antwerp in Belgium. After more than 9 months of studying and fine tuning the system, the Intellinova system was proven to be successful in managing and controlling the operating condition of the cranes.

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Hoisting winchMachine layout

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Hoisting winchMeasuring point positions -2

RPM

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Main Hoist Gearbox – Kumira, Finland

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Trolley Drive (Future installation)

RPM

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Boom hoistMachine layout (no plans yet)

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Crane specificationsOperating speeds and acceleration

Max. hoisting speeds • with 80 tonnes on the ropes: 90 m/min – 2 sec. / 0.75 m/s2 • with 23 tonnes on the ropes: 180 m/min – 4 sec. / 0.75 m/s2

Max. trolley travel speed: 240 m/min – 4 sec. / 1.00 m/s2 Max. crane travel speed: 45 m/min – 8 sec. / 0.10 m/s2

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Crane specificationsMachine speed Hoisting winch

Electromotor speed: 0 – 1992 rpm

Load vs RPM 15 T – 1992 28 T – 1590 40 T – 1380 43 T – 1330 45 T – 1280 60 T – 1150

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Hoisting winchTrial installation MSC Crane no. 16

In this trial installation, the equipment monitored is the Hoisting Winch, comprising the 2 electric motor drives and the gearbox. The SPM Commander Unit is equipped with two Bearing Monitoring Modules, one Vibration Monitoring Module and one Analogue Input module.

To ensure the repeatability of the measurements, two condition parameters (Load and Hoisting direction) are determined and measured. The triggered condition for machine speed (RPM) is used to start the measurement whenever the machine speed passes the trigger level.

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Hoisting winchGearbox Kumera type LD-3600-16-E1 (Bearing types)

23160

23160

22336

22336

22330

22330

22320

22320

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Installation of measuring points, load direction

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Installation of measuring points

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Hoisting winchElectromotor Wölfer type ODRKF 400L-6T (Bearing types)

6322

6224

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Hoisting winchPictures / transducer installation

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Measuring techniques used

• Shock Pulse Method, for Bearing condition severity. • SPM Spectrum, for Bearing spectrum analysis & evaluation. • 9 EVAM Condition parameters for symptoms condition trending. • Vibration severity. • Vibration FFT spectrum analysis & evaluation (Acceleration,

Velocity and Enveloping). • Analogue input signal 0-10V for container weight/load

measurement. • Digital input signal for hoisting direction. • RPM for machine speed measurement.

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Transducers usedVibration & Shock Pulse

Accelerometer type SLD 144b 100 mV/g , 2-10.000 Hz Piëzo electric compression type sensor for vibration measurements in industrial applications.

Shock pulse transducer type 42.000 with built-in TMU (transducer matching unit) converts the shock pulses emitted by the bearing into an electrical signal.

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Transducer usedMachine speed measurement

Inductive proximity switch Generates pulses (V) when the teeths of the gearwheel passing the probetip.

Intellinova suitable for 4 Tacho inputs

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Cabling & connections

Connection box, SPM, VIB, RPM

Electrical cabinets

Intellinova Rack module, Load, Ethernet etc.

Crane operation overview

Mul

ti c

ore

cabl

e

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Measuring Logic Parameters for monitoring

“Splash Animation”

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Intellilogic sequence, Container Crane

1. Measuring interval, check 2. Triggers, check 3. Conditions (Weight & Lifting), check 4. RPM stability, check 5. RPM within range, check

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Intellilogic sequence1. Trigger preparation

1. Prepare the system prior to data aquisition1. Bias Power on, (Settling time)2. Stabilaising filters on the CU, fix amplification settings3. Make sure that the ”Settling time” is completed

2. Waiting for Trigger event to happend during ”Max trigger window.

2. Check Conditions (less then 1 ms)1. Only measure when lifting2. Check if load is within range

3. Check RPM Stability4. Check Bias voltage5. Store value in Database if RPM is

within RPM levels (By Linx)

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Trigger window (Tw)Time to wait for the RPM to pass the Trigger level

Time

RPM

Time

Trigger Level eg. 1000 rpm

Max. Tw

20 sec3 sec

Tw

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Trigger window (Tw) Sometimes the Trigger Level is not reached

Time

RPM

Time

Trigger Level, eg. 1000

Max. Tw 20 sec

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Retry Trigger Interval, how long time to wait before you restart the Trigger window

RPM

Time

Trigger Leve, eg. 1000

Tw Tw Tw

Retry Trigger Interval

Tw

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Retry Logic for Vibration & SPM Spectrum data acquisition

RPM

Time

Trigger Level

SUCCESS!

3029

2827

26

The time between VIB measurement retries depends on the RPM slope and maximum allowed deviation

Selected allowed RPM deviation

Start measurement

Deviation exceeded, stop

Retry counter (Initialized to for example 30)

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Retry Logic for Vibration & SPM Spectrum data acquisition

RPM

Time

Trigger Level

Failed last try, measurement skipped

3029

2827

2

The time between measurement retries depends on the RPM slope and maximum allowed deviation

26, 25, 24 …

3

1

Selected allowed RPM deviation

Start measurement

Stop

Retry counter (Initialized to for example 30)

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Trigger when RPM passes 1000 RPM

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Lifting Up

DI1=Lifting

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RPM vs. load

0550

110016502200

0 10 20 30 40 50 60 70 80

Speed (RPM)

Load (t)

Load Range

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Lifting load is checked every second, range 30-80 ton

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Condition checkIf not fullfilled, then Retry Trigger Interval is used as measuring interval.

If Conditions is fullfilled, then check RPM stability.

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Intellilogic Difference between with and without Intellilogic

Without Intellilogic

With Intellilogic

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Intellinova system architecture

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Crane 16 Commander Unit

Vibr

atio

n

Uni

t

Vibr

atio

n

Uni

tBe

arin

g

Uni

t

Bear

ing

U

nit

Crane no xx Commander Unit

Vibr

atio

n

Uni

t

Bear

ing

U

nit

Bear

ing

Uni

t

Anal

og

Uni

t (i

n)

Crane no xx Commander Unit

Vibr

atio

n

Uni

t

Anal

og

Uni

t (o

ut)

Field Support Software (FSS)

Service Laptop

LIN

X

Ethernet/SD card

OPC Server

OPC Client

CRANE Communication from/ to Crane management system

OPC Client

Data Access

Network connection

LINX Link between the Database and The Commander Units

SQL Data Base

OPC Server

Intellinova System Configuration

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SQL DB

LINX

Vibr

atio

n

Uni

t

Vibr

atio

n

Uni

t

Bear

ing

U

nit

Bear

ing

U

nit

Vibr

atio

n

Uni

t

Bear

ing

U

nit

Bear

ing

Uni

t

Anal

og

Uni

t (i

n) Measuring Logic -Time based -Conditional -Triggered

Data Flow and Alarms

Local Alarm Logic -Absolute level

Storing Logic -Time based -Value level -Value change -When alarm

Alarm Logic -Absolute level -Alarm delay -Alarm filter -Trend -Criteria based (standard/flexible) -Band Value

Intellilogic

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Vibr

atio

n

Uni

t

Data buffers -In case of communication failure

SQL DB

LINX

Vibr

atio

n

Uni

t

Bear

ing

U

nit

Bear

ing

U

nit

Vibr

atio

n

Uni

t

Bear

ing

U

nit

Bear

ing

Uni

t

Anal

og

Uni

t (i

n)

Data Buffer

Data Buffer Data Buffer

Delayed Measurements -The most delayed measurement task is reported

No Measurement -Measuring results not received

Intellicheck

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ConfigurationSequence files and buffered data via SD card

• Initial configuration like: -IP address -Choice of dynamic or static IP address -Commander unit name -Server name for LINX -Etc Can be done either via a directly connected PC (crossed LAN cable)

or via the SD card. FSS is used in both cases.

• A sequence file can be loaded to the Commander Unit from LINX via the SD card.

• Buffered measurements can be downloaded to LINX via the SD card.

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Unique Features of ❖ Commander Unit ❖ Vibration & Shock Pulse Monitoring Unit ❖ Analog Input and Output Unit ❖ Condmaster Nova Software ❖ LinX Software ❖ Field Service Software ❖ OPC Data Access ❖ Web Access and SMS ❖ LAN or Wireless Ethernet ❖ Buffered Measurement via SD card ❖ Intellilogic:

✓ Intellicheck ✓ Measuring logic ✓ Storing Logic ✓ Alarm Logic ✓ Analysis Logic

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Condmaster SoftwareOverview Crane condition

Condmaster Nova

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Crane condition monitoringOverview Crane condition

Condmaster Nova

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Crane condition monitoringOverview gearbox measurements

Condmaster Nova

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Fault SymptomsMachine faults definitions

The SPM online monitoring system automaticaly evaluates the machine specific problems.

Pre-defined machine fault symptoms:

Bearing defect frequencies: BPFO, BPFI, BSF and FTF Gear damage frequencies Unbalance Shaft misalignment Loosseness Electrical problems on Electric motors

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SymptomsGear damage – FFT Analysis

The FFT spectrum shows Input shaft Gearwheel damage markers The amplitude and quantity of the side band frequency components are indicators for damage development.

1x Gear Mesh Frequency (28x rpm)

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SymptomsGear damage – Trend graph

For every defined fault symptom like Gear damage in this case, we calculate the sum value of the matching frequencies for trending for each measurement.

Trend graph of Gear damage Z1 vibration components from FFT Spectrum

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SymptomsBearing damage – Trend graph

Trend graph of bearing with damage development

Trend graph of bearing in good condition

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Container Crane online condition monitoring systemProject Considerations

Supplier / Client

MSC Home Terminal Antwerpen BelgiumMarch 2009

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Project Considerations• Project planning - who will take care of:

network connectionbrackets for tacho probe, junction box and Intellinova system location of Intellinova system power supply

• Project planning – time table

• Define the Objective to achieve

• Database set-up and fine tuning of the system

• Training for different types of users: management, maintenance and operation

• Support - service level agreement

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Technical information

• Average vibration level • Average dBc, lubrication

condition • Per equipment

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Statistics

• Distribution green-yellow-red • Per measuring technique • Per machine type • Per manufacturer

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Economics

• Direct maintenance costs • Indirect maintenance costs • Time losses • loss of contribution • Unplanned vs. planned

breakdowns • Penalties • Port charges • Return on investment

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At your service . . .