Discover how Predictive Maintenance powered by AI works and its benefits of Predictive Analytics to discover Root Cause and Time to Failure to improve operations, productivity and profits. https://vroc.ai/About-Us/Articles-Insights/How-Predictive-Maintenance-is-driving-Industry-4-0

1. Predictive Maintenance:
How it works and why you need it
The first step in any IoT enabled process is having
high quality sensors that are streaming live data.
Sensors will ideally be collecting a wide variety of
metrics, without bias.
Sensors
1
2 The next critical component is a secure system by which
data can flow between assets and the central data lake.
Data Communication
3
Creating a data lake that can act as a secure home
for all source data is the next important step. It's
irrelevant if this is on premise or cloud based, just
that it's accessible by the programs that need it -
including your predictive analysis software.
Central Data Lake
4
Powered by artificial intelligence for profound insight,
machine learning algorithms will ingest, aggregate and
synthesize data, with the ability to recognize complex
patterns and generating detailed insights.
Predictive Analytics
5
6
Predictions are ideally in the form of a user friendly
dashboard that provides time-to-failure and root cause
analysis alerts and insights. Operational staff can quickly
and easily identify and action preventative maintenance
as and when required.
Time to Failure + Root Cause
Every company wants to remove the word 'downtime'
from their vocabulary and their operations. With
predictive maintenance you can eliminate unscheduled
maintenance and instead plan for it with optimal
material and staff resourcing, resulting in increased
productivity and profits.
Increased Uptime