Emerging of Machine learning and IoT boost predictive maintenance for effective services. Emorphis is award winning software development company. If you need IoT app for your manufacturing machines maintenance, then contact us. To know more, click here- http://bit.ly/2GfJbOe

1. How IoT and Machine Learning Revolutionize the Predictive
Maintenance
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2. Need of
Maintenance
When we talk about machines or
manufacturing, maintenance is the
main topic. From industries to
household appliances need
maintenance. No matter how heavy
and reliable the machines are, but
they can be broken down at any
time if maintenance has not been
done properly. Theses substantial
loss can be overcome by effective
machine maintenance strategy.
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3. Difference in Preventive and Predictive
Maintenance
Many people confused in between preventive and predictive
maintenance. Let’s take an example of car which is newly and
according to their maintenance scheduled, the date of oil changing
based on their kilometers or months this is called preventive
maintenance, but in predictive maintenance the car is configured
with the advanced indicators which alert you a month before of
maintenance.
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4. Anomaly Detection in
Predictive
Maintenance
With machine learning and IIOT
gearing up in the manufacturing
industries, these have been a data
explosion with tons of data in form
of sensor data, analytics data, CRM
data, web data and another type of
data. These data were useful in
analyzing the behavior, cost
optimization, and other analyses.
But what comes around us is the
prediction of something this some
we can call an anomaly. This
anomaly makes predictive
maintenance more effectiveness.
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5. How IoT and Machine
Learning: Game
Changer
For industries, unexpected and
unnecessary downtime is the
biggest issue. To overcome this
problem, the convergence of IIOT
and machine learning had
introduced and hence these
industries realize the importance of
identifying the potential failures,
their occurrence, and consequence.
With predictive maintenance, the
manufacturer can cut the cost,
increase machine efficiency, lessen
the downtime and extend the
equipment life.
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6. Predictive Maintenance:
4.0
The internet of 4.0 is booming predictive
maintenance. Machine learning combined and
embedded with IoT application development & AI
applications will assist organizations in managing,
monitoring and maintaining the condition of their
equipment. Preventive Maintenance 4.0 is also helpful
in managing Key Performance Indicators at an
industrial unit, for effective health and safety
measures. The smart collaboration of machine
learning and big data analytics have improved
predictive maintenance decisions by its faster,
intelligent and responsive models.
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7. Contact us:
Have an App idea?
Emorphis Technologies is one of the best leading IoT application company that brings
client’s idea into reality since- 2010
Contact us Today for free quote
Sales@emorphis.com
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