What is Predictive Maintenance and How is it Transforming Manufacturing?

WHAT IS PREDICTIVE MAINTENANCE AND HOW IS IT TRANSFORMING MANUFACTURING?

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WHAT IS PREDICTIVE MAINTENANCE Predictive

maintenance

directly

tracks

performance aimed

at

offers

in

real

reducing the

maintenance

an

is

a

asset’s

time.

costly,

of

maintenance

health,

status,

that

and

Predictive

maintenance

is

unexpected

breakdowns

and

manufacturer around

type

their

the

opportunity

own

production

to

plan

schedule.

HOW DOES PREDICTIVE MAINTENANCE WORK? Through time

a

data

industrial (IIoT)

,

combination collected internet

predictive

of

maintenance

condition

equipment

operations

likelihood machine

of

to

the during

reduce

unexpected

failure.

the

things

analyzes

normal

real-

through

continuously of

of

the

With

predictive

monitor

and

bearing

speed,

maintenance,

test

tools

monitoring

detect and

owner

indicate

specific

types

send

of

or

and

real-time a

IIoT

as

to

future

slow Using

normal the

machine

failure.

maintenance

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can

technology,

during

alerts

potential

predictive

such

temperature.

abnormalities

operations that

indicators

lubrication,

condition-based these

various

organizations

More

including:

Vibration analysis: This

is

a

common

manufacturing

type

plants

of

with

predictive rotating

maintenance

machinery.

It

used can

inside detect

imbalance, misalignment, or loose parts of equipment.

Infrared analysis: Using temperature as an indicator, issues related to airflow, cooling and motor stress can be identified.

Sonic acoustical analysis: Sounds can be converted to an auditory or visual signal that can be heard or seen by a technician, indicating conditions such as worn or under-lubricated bearings in both low and high-rotating machinery.

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PREDICTIVE MAINTENANCE VS PREVENTIVE MAINTENANCE •

Preventive

based

on

the

to

ensure

•

Predictive

required the

maintenance machine’s

that

based

IoT

avoid

issues

on

sensors

a

lifecycle,

can

costly,

the so

at

regular

regardless

intervals of

usage

emerge

maintenance

manufacturers and

no

occurs

only

occurs

machine

insights

as

they

wear

when

it

is

provided

by

over

proactively

schedule

unexpected

breakdown.

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time,

maintenance

Although a

both

significant

forms

of

Service hit

a

While

then

IIoT

account,

degradation to

catch

other

threshold

service

at

sensor

only

on

data

on

same

once

asset

issues

a

a

uses

the

preventing

maintenance’ to

such

condition

at

collect as

status

and

machine

‘predictive

real-time

temperature,

demands

failure,

it—i.e.

there

maintenance’.

measurements pressure, when

is

your

or

from

a

vibration.

machine

has

level.

type

much

history

even

aimed

sensors

conditions,

of

condition-based

larger

maintenance

condition-based

the

(CBM)

is

are

‘condition-based

parameter

predictive

based

maintenance

various

maintenance

potential

hand,

about

delivered

predictive of

between

maintenance

equipment

specified

stream into

is

proactive

difference

Condition-based piece

of

and

earlier,

scale.

leverages related so

maintenance

Rather big

data.

service often

maintenance,

than

data

runs

be the

taking

methodology

Predictive

can

only

it

risk

the to

maintenance

scheduled of

more

multiple

uses

the

constant

condition predict

allows

machine

technicians

efficiently. machines

time.

THE DIFFERENCE BETWEEN CONDITION-BASED MAINTENANCE AND PREDICTIVE MAINTENANCE

status

On

the

requiring

5 TECHNOLOGICAL ADVANTAGES OF PREDICTIVE MAINTENANCE Predictive

maintenance

advantages.

Below,

we

is

a

transformative

explore

five

application

benefits

that

can

of

the

serve

IIoT

as

with

tremendous

differentiators

for

your

organization:

1) Decreased downtime Predictive problems

Cut

maintenance

before

unplanned

procedures Avoid

the

Reduce

at

risk

costly

enables

equipment

downtime one of

by

technicians

failure

as

can

much

to

occur,

as

up

to

detect so

you

issues

truck

rolls

required

by

30%Schedule

outages

unexpected

advance

and

can:

time

reputation-damaging

in

downtime

multiple

service

resolve

5 TECHNOLOGICAL ADVANTAGES OF PREDICTIVE MAINTENANCE 2) Greater worker productivity There

is

no

need

breakdown.

Enables

up

Maximizes Increases

to

disrupt

Predictive to

83%

uptime asset

productivity

maintenance

faster and

worker

service

prevents

plans

for

around

an

unexpected

workers’

malfunction

schedules,

or

and:

time-to-resolution

productivity

lags

utilization

3) Reduced field service costs By

anticipating

savings

and

machine

increased

Reduction

of

Increased

first-time

Streamlined

costly

maintenance,

ROI

service fix

service

departments

can

generate

major

cost-

through: truck

rolls

rates

maintenance

costs

through

reduced

labor,

equipment,

and

inventory

costs

5 TECHNOLOGICAL ADVANTAGES OF PREDICTIVE MAINTENANCE 4) Improved Product Design Harnessing designers Extend

can

asset

Improve Build

the

power use

this

IIoT

vital

data

collected

information

through

your

machine’s

sensors,

product

to:

lifespans

equipment

more

of

durability

efficient

and

machines

in

reliability

the

future

5) Improved worker safety An

unexpected

your

breakdown

employees.

Employees

are

Technicians

By

malfunction

predicting

nowhere

can

or

carry

near

out

a

when

a

lead

malfunction

machine

service

can

when

before

a

it

to

hazardous

may

breaks

machine

occur,

working

you

can

ensure:

down

becomes

conditions

dangerous

for

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