Predictive maintenance is the method for using statistical analysis and historical data about a machine or IoT system in order to derive from its current condition when it will need maintenance or improvement. It relies heavily on Machine Learning or Artificial Intelligence for these decisions. The goal is to save money and time over scheduled maintenance because service is only performed when needed, resulting in less waste, and also in less downtime. Predictive maintenance is different from preventive maintenance because the true current condition of equipment is the basis for automated decision-making, rather than based on service period estimates.
Predictive Maintenance
Predictive maintenance is the method for using statistical analysis and historical data about a machine or IoT system in order to derive from its current condition when it will need maintenance or improvement. It relies heavily on Machine Learning or Artificial Intelligence for these decisions. The goal is to save money and time over scheduled maintenance because service is only performed when needed, resulting in less waste, and also in less downtime. Predictive maintenance is different from preventive maintenance because the true current condition of equipment is the basis for automated decision-making, rather than based on service period estimates.
Solutions
Webinars
Events
Articles
Podcasts
News
White Papers
Solutions
Kimberly-Clark
Onvation by Kimberly-Clark
Discover Onvation, your connected software solution for smart restroom servicing.
MachineMetrics
MachineMetrics Edge Platform for Manu...
MachineMetrics Edge Platform provides a scalable solution for manufacturers that can be self-installed to easily collect data from any piece of equipment and enable actionable machine insights in a...
Bosch
Bosch Phantom
Phantom is a unique process for analyzing changes in the current and voltage used by a setup and measuring the individual energy consumption and load of the devices being used.
MachineMetrics
MachineMetrics Predictive Maintenance
Power predictive analytics applications with high-frequency machine data to diagnose, predict, and avoid manufacturing equipment failure.
MachineMetrics
MachineMetrics Remote Machine Monitoring
Monitor OEE, machine utilization, and equipment downtime in real-time to maximize production efficiency.
Webinars
Recorded
Events
VirtualIoT at the Edge Digital Symposium
Mar 17
Mar 17, 2021
Learn from key players in the Edge Computing ecosystem and network to form partnerships that will drive edge to the next level.
Edge Computing
Mar 17, 2021
Articles
Podcasts
Let’s Connect! | E017 | With Intelinair's David Wilson May 27, 2021
Let’s Connect! | E014 | With Sequitur Labs' Philip Attfield May 6, 2021
Let’s Connect! | E004 | With Silicon Labs' Mikko Niemi Mar 12, 2021
IoT For All | E099 | With Augury’s Saar Yoskovitz Jan 19, 2021
News
Pratexo Wins 2022 ABB Electrification...
Pratexo
Jul 5, 2022
Sensors Save COSL Millions Through Co...
Disruptive Technologies
Jun 24, 2022
Wind Turbines Get Smart IoT Listening...
IoT For All
May 23, 2022
Sewio’s myRTLS Care Services Ke...
IoT For All
May 17, 2022
Kneo Releases MAPP EYE Platform to Im...
IoT For All
Apr 28, 2022
White Papers
Waylay Digital Twin eBrochure
Waylay
Apr 13, 2022
Smart Connected Restrooms, a Cornerst...
Kimberly-Clark
Feb 22, 2022
How to Become a Smart and Sustainable...
Sightline Systems
Feb 16, 2022
Predictive Maintenance Adoption: Over...
Justin Gagne
Feb 1, 2022
An Engineer’s Guide to Digital Twin T...
Very
Jan 18, 2022
Leveraging Predictive Maintenance to ...
Very
Jan 11, 2022
POWERAIL
Viezo
Jul 12, 2021
IoT For All is creating resources to enable companies of all sizes to leverage IoT. From technical deep-dives, to IoT ecosystem overviews, to evergreen resources, IoT For All is the best place to keep up with what's going on in IoT.
Powered by 
Search IoT For All
Search industries, Applications, technologies, solutions, articles and more.